Flexible ultrasonic array for breast-cancer diagnosis based on a self-shape–estimation algorithm
•An ultrasound diagnosis of breast cancer using a flexible ultrasound transducer is proposed.•A new mathematical model was established for ultrasound diagnosis of breast cancer.•Tumors closer to the flexible ultrasound array show lower visual resolution in the ultrasound image. Breast cancer is a ve...
Saved in:
| Published in | Ultrasonics Vol. 108; p. 106199 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.12.2020
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0041-624X 1874-9968 1874-9968 |
| DOI | 10.1016/j.ultras.2020.106199 |
Cover
| Abstract | •An ultrasound diagnosis of breast cancer using a flexible ultrasound transducer is proposed.•A new mathematical model was established for ultrasound diagnosis of breast cancer.•Tumors closer to the flexible ultrasound array show lower visual resolution in the ultrasound image.
Breast cancer is a very common malignant tumour that typically occurs in women aged 35–70 years (accounting for 85% of patients). Recently, it has been appearing in younger women as well. Traditional ultrasonic transducers usually use a fixed array, which avoids the radiation from mammography, has a low cost, and can be used for repeated testing. This substantially benefits the clinical diagnosis of breast cancer. However, the fixed transducer-array diagnosis process exerts considerable pressure on the human body, which can easily cause mass displacement or unnecessary pain. Therefore, ultrasound breast cancer diagnosis without compression has attracted attention.
In this study, we used a flexible ultrasonic array to record the ultrasound information of the mass, and proposed a mathematical model suitable for breast-cancer diagnosis. Then, we used a self-shape–estimation algorithm to obtain a two-dimensional (2D) ultrasound image of the breast cancer. The algorithm was tested with simulated and experimental array data, and its performance was evaluated according to the tumour location. The surface-shape error obtained through the numerical simulation was less than 0.8 mm, and the deviation in the estimated mass position was less than 1.24 mm. The tumour location was also obtained experimentally in a breast-cancer model. Therefore, the method proposed in this paper can realize ultrasound diagnoses and represents a new diagnostic tool for breast cancer. |
|---|---|
| AbstractList | Breast cancer is a very common malignant tumour that typically occurs in women aged 35-70 years (accounting for 85% of patients). Recently, it has been appearing in younger women as well. Traditional ultrasonic transducers usually use a fixed array, which avoids the radiation from mammography, has a low cost, and can be used for repeated testing. This substantially benefits the clinical diagnosis of breast cancer. However, the fixed transducer-array diagnosis process exerts considerable pressure on the human body, which can easily cause mass displacement or unnecessary pain. Therefore, ultrasound breast cancer diagnosis without compression has attracted attention. In this study, we used a flexible ultrasonic array to record the ultrasound information of the mass, and proposed a mathematical model suitable for breast-cancer diagnosis. Then, we used a self-shape-estimation algorithm to obtain a two-dimensional (2D) ultrasound image of the breast cancer. The algorithm was tested with simulated and experimental array data, and its performance was evaluated according to the tumour location. The surface-shape error obtained through the numerical simulation was less than 0.8 mm, and the deviation in the estimated mass position was less than 1.24 mm. The tumour location was also obtained experimentally in a breast-cancer model. Therefore, the method proposed in this paper can realize ultrasound diagnoses and represents a new diagnostic tool for breast cancer.Breast cancer is a very common malignant tumour that typically occurs in women aged 35-70 years (accounting for 85% of patients). Recently, it has been appearing in younger women as well. Traditional ultrasonic transducers usually use a fixed array, which avoids the radiation from mammography, has a low cost, and can be used for repeated testing. This substantially benefits the clinical diagnosis of breast cancer. However, the fixed transducer-array diagnosis process exerts considerable pressure on the human body, which can easily cause mass displacement or unnecessary pain. Therefore, ultrasound breast cancer diagnosis without compression has attracted attention. In this study, we used a flexible ultrasonic array to record the ultrasound information of the mass, and proposed a mathematical model suitable for breast-cancer diagnosis. Then, we used a self-shape-estimation algorithm to obtain a two-dimensional (2D) ultrasound image of the breast cancer. The algorithm was tested with simulated and experimental array data, and its performance was evaluated according to the tumour location. The surface-shape error obtained through the numerical simulation was less than 0.8 mm, and the deviation in the estimated mass position was less than 1.24 mm. The tumour location was also obtained experimentally in a breast-cancer model. Therefore, the method proposed in this paper can realize ultrasound diagnoses and represents a new diagnostic tool for breast cancer. •An ultrasound diagnosis of breast cancer using a flexible ultrasound transducer is proposed.•A new mathematical model was established for ultrasound diagnosis of breast cancer.•Tumors closer to the flexible ultrasound array show lower visual resolution in the ultrasound image. Breast cancer is a very common malignant tumour that typically occurs in women aged 35–70 years (accounting for 85% of patients). Recently, it has been appearing in younger women as well. Traditional ultrasonic transducers usually use a fixed array, which avoids the radiation from mammography, has a low cost, and can be used for repeated testing. This substantially benefits the clinical diagnosis of breast cancer. However, the fixed transducer-array diagnosis process exerts considerable pressure on the human body, which can easily cause mass displacement or unnecessary pain. Therefore, ultrasound breast cancer diagnosis without compression has attracted attention. In this study, we used a flexible ultrasonic array to record the ultrasound information of the mass, and proposed a mathematical model suitable for breast-cancer diagnosis. Then, we used a self-shape–estimation algorithm to obtain a two-dimensional (2D) ultrasound image of the breast cancer. The algorithm was tested with simulated and experimental array data, and its performance was evaluated according to the tumour location. The surface-shape error obtained through the numerical simulation was less than 0.8 mm, and the deviation in the estimated mass position was less than 1.24 mm. The tumour location was also obtained experimentally in a breast-cancer model. Therefore, the method proposed in this paper can realize ultrasound diagnoses and represents a new diagnostic tool for breast cancer. |
| ArticleNumber | 106199 |
| Author | Huang, Yuqiao Lu, Chao Zeng, Xuefeng Li, Yuanyuan Chang, Junjie Chen, Zhiheng |
| Author_xml | – sequence: 1 givenname: Junjie surname: Chang fullname: Chang, Junjie organization: Key Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China – sequence: 2 givenname: Zhiheng surname: Chen fullname: Chen, Zhiheng email: 1525305292@qq.com organization: Key Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China – sequence: 3 givenname: Yuqiao surname: Huang fullname: Huang, Yuqiao organization: Key Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China – sequence: 4 givenname: Yuanyuan surname: Li fullname: Li, Yuanyuan organization: Key Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China – sequence: 5 givenname: Xuefeng surname: Zeng fullname: Zeng, Xuefeng organization: Key Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China – sequence: 6 givenname: Chao surname: Lu fullname: Lu, Chao organization: Key Lab of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China |
| BookMark | eNqNkcFOGzEURa0KpAboH3ThZTeT2hPPxO6iEkJNQUJiA1J31rPnOXHkjFN70pId_8Af8iU4TFcsKCtL9j3X7953Qo762CMhnzmbcsbbr-vpLgwJ8rRm9eGq5Up9IBMu56JSqpVHZMKY4FVbi18fyUnOa8a4kHw2IWYR8N6bgHS0iL23FFKCPXUxUZMQ8lBZ6C0m2nlY9jH7TA1k7GjsKdCMwVV5BVt8enjEPPgNDP7wEpYx-WG1OSPHDkLGT__OU3K3-HF7cVld3_y8uji_rqxo-FApYWbOSSdb19WCq8bMlWxRGsS2axgK4dA5sDXIGQNQdSeUkcbOmWINSDk7Jc3ou-u3sP8LIehtKtOkveZMH4rSaz2m1Iei9FhU4b6M3DbF37uSQG98thgC9Bh3RSt4qYoVoki_jVKbYs4JnbZ-eIlbXH343z_iFfzO8b6PGJbu_nhMOluPZR-dT2gH3UX_tsEz3A2r1Q |
| CitedBy_id | crossref_primary_10_3390_cancers15133294 crossref_primary_10_3390_diagnostics11071212 crossref_primary_10_1155_2022_2019869 crossref_primary_10_3390_cancers16071244 crossref_primary_10_1109_TUFFC_2022_3210701 crossref_primary_10_1109_TMI_2021_3087450 crossref_primary_10_1364_BOE_491406 crossref_primary_10_1016_j_ultras_2024_107416 crossref_primary_10_1016_j_ultras_2023_107228 crossref_primary_10_1016_j_ultras_2024_107349 crossref_primary_10_1016_j_mtsust_2022_100207 crossref_primary_10_1016_j_ultras_2021_106638 crossref_primary_10_1016_j_mattod_2023_12_003 crossref_primary_10_1109_JSEN_2024_3375915 crossref_primary_10_1016_j_ndteint_2024_103282 crossref_primary_10_1109_TBME_2023_3333216 crossref_primary_10_1016_j_ultras_2024_107551 crossref_primary_10_1109_TBME_2023_3266367 crossref_primary_10_1016_j_ultras_2023_107233 crossref_primary_10_1364_OE_455796 crossref_primary_10_35848_1347_4065_acbc27 crossref_primary_10_1016_j_sna_2023_114749 |
| Cites_doi | 10.3322/caac.21442 10.1049/ip-rsn:20040420 10.1016/j.ndteint.2005.04.002 10.1109/TBME.2013.2263310 10.1121/1.4962983 10.1148/radiology.189.1.8372225 10.1016/j.ultras.2013.12.012 10.1109/TUFFC.2014.006788 10.1016/j.ndteint.2009.10.001 10.1109/TCE.2003.1209511 10.1109/AIMSEC.2011.6009938 10.1190/1.1444614 10.1109/TUFFC.2011.1819 10.1016/j.ndteint.2009.09.001 10.3322/canjclin.55.1.10 10.1190/1.1440899 10.1190/1.1440826 10.1016/0375-9601(87)90796-1 10.1126/science.220.4598.671 10.1109/TUFFC.2007.424 10.1001/archsurg.141.2.155 10.1007/s41745-019-0098-4 10.1063/1.3114336 10.7863/jum.2012.31.9.1389 10.1007/s11760-009-0117-4 10.1109/TMI.2006.877092 |
| ContentType | Journal Article |
| Copyright | 2020 The Author(s) Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved. |
| Copyright_xml | – notice: 2020 The Author(s) – notice: Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved. |
| DBID | 6I. AAFTH AAYXX CITATION 7X8 ADTOC UNPAY |
| DOI | 10.1016/j.ultras.2020.106199 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef MEDLINE - Academic Unpaywall for CDI: Periodical Content Unpaywall |
| DatabaseTitle | CrossRef MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Physics |
| EISSN | 1874-9968 |
| ExternalDocumentID | 10.1016/j.ultras.2020.106199 10_1016_j_ultras_2020_106199 S0041624X20301384 |
| GroupedDBID | --- --K --M -~X .DC .~1 0R~ 123 1B1 1RT 1~. 1~5 29Q 4.4 457 4G. 53G 5RE 5VS 6I. 7-5 71M 8P~ 9JM 9JN AACTN AAEDT AAEDW AAFTH AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO ABBQC ABEFU ABFNM ABJNI ABLJU ABLVK ABMAC ABMZM ABNEU ABTAH ABXDB ABYKQ ACDAQ ACFVG ACGFS ACNNM ACRLP ADBBV ADEZE ADMUD AEBSH AEKER AENEX AFFNX AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHHHB AIEXJ AIKHN AITUG AIVDX AJBFU AJOXV AJRQY ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ANZVX ASPBG AVWKF AXJTR AZFZN BBWZM BKOJK BLXMC BNPGV C45 CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q G8K GBLVA HMV HVGLF HZ~ IHE J1W KOM LCYCR M38 M41 MO0 N9A NDZJH O-L O9- OAUVE OGIMB OVD OZT P-8 P-9 P2P PC. Q38 R2- RIG RNS ROL RPZ SDF SDG SES SEW SPC SPCBC SPD SPG SSH SSQ SSZ T5K TAE TEORI UHS WH7 WUQ XPP ZGI ZMT ZXP ZY4 ~02 ~G- AATTM AAXKI AAYWO AAYXX ABDPE ABWVN ACIEU ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD 7X8 ADTOC AGCQF UNPAY |
| ID | FETCH-LOGICAL-c451t-94b3ff8f86fd24195b7986e8bee6d50e44feffac2a830aa92d49b8bc70905a883 |
| IEDL.DBID | UNPAY |
| ISSN | 0041-624X 1874-9968 |
| IngestDate | Tue Aug 19 17:46:40 EDT 2025 Thu Oct 02 10:34:47 EDT 2025 Wed Oct 01 05:16:40 EDT 2025 Thu Apr 24 23:01:04 EDT 2025 Fri Feb 23 02:46:33 EST 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Flexible ultrasound transducer Breast cancer Image post-processing Self-shape estimation |
| Language | English |
| License | This is an open access article under the CC BY-NC-ND license. cc-by-nc-nd |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c451t-94b3ff8f86fd24195b7986e8bee6d50e44feffac2a830aa92d49b8bc70905a883 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://doi.org/10.1016/j.ultras.2020.106199 |
| PQID | 2418130020 |
| PQPubID | 23479 |
| ParticipantIDs | unpaywall_primary_10_1016_j_ultras_2020_106199 proquest_miscellaneous_2418130020 crossref_citationtrail_10_1016_j_ultras_2020_106199 crossref_primary_10_1016_j_ultras_2020_106199 elsevier_sciencedirect_doi_10_1016_j_ultras_2020_106199 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | December 2020 2020-12-00 20201201 |
| PublicationDateYYYYMMDD | 2020-12-01 |
| PublicationDate_xml | – month: 12 year: 2020 text: December 2020 |
| PublicationDecade | 2020 |
| PublicationTitle | Ultrasonics |
| PublicationYear | 2020 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Kim (b0045) 2013; 60 Li, Xu (b0020) 2005; 4 Gazdag (b0080) 1978; 43 He, Zhou, Hong (b0150) 2003; 49 Hunter, Drinkwater, Wilcox (b0095) 2011; 58 Ingber (b0190) 1996; 25 Cosgrove (b0030) 1993; 189 Xu (b0125) 2018; 91 Stolt (b0085) 1978; 43 Kirkpatrick (b0180) 1983; 220 Wang (b0110) 2015; 62 G. Toullelan, et al., Flexible arrays for the ultrasonic inspection of complex parts, in: Review of progress in QNDE, Chicago, USA, 2008. Islam, Kaabouch, Hu (b0040) 2013 Zhang (b0065) 2009; 43 Gough, Miller (b0165) 2004; 151 Cohen, Yitzhaky (b0145) 2010; 4 Margrave, Ferguson (b0090) 1999; 64 Sadoughi (b0025) 2018; 10 Wilcox, Holmes, Drinkwater (b0075) 2007; 54 Fan (b0050) 2014; 54 J.W. Mackersie, A. Gachagan, Development of an efficient conformable array structure, in: Review of progress in QNDE, Chicago, USA, 2008. Li (b0035) 2019; 28 Nebeker, Nelson (b0115) 2012; 31 Son, Kwak, Kim (b0015) 2006; 141 Netrapalli (b0175) 2019; 99 Hooi, Kripfgans, Carson (b0120) 2016; 140 Holmes, Drinkwater, Wilcox (b0060) 2008; 48 Holmes (b0070) 2008; 48 Jintamethasawat (b0100) 2017 Hunter, Drinkwater, Wilcox (b0140) 2009; 43 Chen, Zhu, Zhang (b0155) 2007 A. Jemal, T. Murray, E. Ward, et al. Cancer statistics, 2005. Ca-a Cancer J. Clin. 55 (2005) 10–30. Holmes, Drinkwater, Wilcox (b0055) 2005; 38 H. Li, C.Y. Fu, An improved focusing algorithm based on image definition evaluation, 2011 2nd International Conference on Artificial Intelligence. Management Science and Electronic Commerce, 2011, pp. 3743–3746. Szu, Hartley (b0185) 1987; 122 Noble, Boukerroui (b0105) 2006; 25 R.L. Siegel, K.D. Miller, A. Jemal, Cancer statistics, 2018, Ca-a Cancer J. Clin. 68 (1) (2018) 7–30. Avriel (b0170) 2003 Jintamethasawat (10.1016/j.ultras.2020.106199_b0100) 2017 Kim (10.1016/j.ultras.2020.106199_b0045) 2013; 60 Zhang (10.1016/j.ultras.2020.106199_b0065) 2009; 43 Nebeker (10.1016/j.ultras.2020.106199_b0115) 2012; 31 Fan (10.1016/j.ultras.2020.106199_b0050) 2014; 54 Hunter (10.1016/j.ultras.2020.106199_b0140) 2009; 43 Netrapalli (10.1016/j.ultras.2020.106199_b0175) 2019; 99 Avriel (10.1016/j.ultras.2020.106199_b0170) 2003 Gough (10.1016/j.ultras.2020.106199_b0165) 2004; 151 Li (10.1016/j.ultras.2020.106199_b0020) 2005; 4 Holmes (10.1016/j.ultras.2020.106199_b0070) 2008; 48 10.1016/j.ultras.2020.106199_b0130 He (10.1016/j.ultras.2020.106199_b0150) 2003; 49 10.1016/j.ultras.2020.106199_b0010 Noble (10.1016/j.ultras.2020.106199_b0105) 2006; 25 Son (10.1016/j.ultras.2020.106199_b0015) 2006; 141 Wang (10.1016/j.ultras.2020.106199_b0110) 2015; 62 Chen (10.1016/j.ultras.2020.106199_b0155) 2007 10.1016/j.ultras.2020.106199_b0135 Szu (10.1016/j.ultras.2020.106199_b0185) 1987; 122 Holmes (10.1016/j.ultras.2020.106199_b0055) 2005; 38 Islam (10.1016/j.ultras.2020.106199_b0040) 2013 Hunter (10.1016/j.ultras.2020.106199_b0095) 2011; 58 Cohen (10.1016/j.ultras.2020.106199_b0145) 2010; 4 Cosgrove (10.1016/j.ultras.2020.106199_b0030) 1993; 189 Gazdag (10.1016/j.ultras.2020.106199_b0080) 1978; 43 Wilcox (10.1016/j.ultras.2020.106199_b0075) 2007; 54 Xu (10.1016/j.ultras.2020.106199_b0125) 2018; 91 Kirkpatrick (10.1016/j.ultras.2020.106199_b0180) 1983; 220 Sadoughi (10.1016/j.ultras.2020.106199_b0025) 2018; 10 10.1016/j.ultras.2020.106199_b0160 Stolt (10.1016/j.ultras.2020.106199_b0085) 1978; 43 Ingber (10.1016/j.ultras.2020.106199_b0190) 1996; 25 Hooi (10.1016/j.ultras.2020.106199_b0120) 2016; 140 10.1016/j.ultras.2020.106199_b0005 Li (10.1016/j.ultras.2020.106199_b0035) 2019; 28 Margrave (10.1016/j.ultras.2020.106199_b0090) 1999; 64 Holmes (10.1016/j.ultras.2020.106199_b0060) 2008; 48 |
| References_xml | – volume: 48 year: 2008 ident: b0070 article-title: Advanced post-processing for scanned ultrasonic arrays: Application to defect detection and classification in non-destructive evaluation publication-title: Ultrasonics – volume: 58 start-page: 414 year: 2011 end-page: 426 ident: b0095 article-title: Least-squares estimation of imaging parameters for an ultrasonic array using known geometric image features publication-title: IEEE Trans. Ultrason. Ferroelect. Freq. Contr. – year: 2003 ident: b0170 article-title: Nonlinear Programming: Analysis and Methods – volume: 141 start-page: 155 year: 2006 end-page: 160 ident: b0015 article-title: Changing patterns in the clinical characteristics of Korean patients with breast cancer during the last 15 years publication-title: Arch Surg. – volume: 43 start-page: 23 year: 1978 end-page: 48 ident: b0085 article-title: Migration by Fourier transform publication-title: Geophysics – start-page: 10139 year: 2017 ident: b0100 article-title: Limited angle breast ultrasound tomography with a priori information and artifact removal, in publication-title: Medical Imaging 2017: Ultrasonic Imaging and Tomography – volume: 28 start-page: 2493 year: 2019 end-page: 2494 ident: b0035 article-title: The diagnostic value of mammography in early breast cancer publication-title: Modern Medical Imageology – volume: 38 year: 2005 ident: b0055 article-title: Post-processing of the full matrix of ultrasonic transmit–receive array data for non-destructive evaluation publication-title: NDT and E Int. – volume: 189 start-page: 99 year: 1993 end-page: 104 ident: b0030 article-title: Breast diseases: color Doppler US in differential diagnosis publication-title: Radiology – volume: 4 start-page: 336 year: 2005 end-page: 338 ident: b0020 article-title: Early diagnosis and treatment of breast cancer publication-title: Chin. J. General Practitioners – volume: 31 start-page: 1389 year: 2012 end-page: 1404 ident: b0115 article-title: Imaging of sound speed using reflection ultrasound tomography publication-title: J. Ultrasound Med. – volume: 4 start-page: 289 year: 2010 end-page: 302 ident: b0145 article-title: No-reference assessment of blur and noise impacts on image quality publication-title: SIViP – reference: R.L. Siegel, K.D. Miller, A. Jemal, Cancer statistics, 2018, Ca-a Cancer J. Clin. 68 (1) (2018) 7–30. – volume: 64 start-page: 1067 year: 1999 end-page: 1078 ident: b0090 article-title: Wavefield extrapolation by nonstationary phase shift publication-title: Geophysics – volume: 140 start-page: 2113 year: 2016 end-page: 2122 ident: b0120 article-title: Acoustic attenuation imaging of tissue bulk properties with a priori information publication-title: J. Acoust. Soc. Am. – reference: J.W. Mackersie, A. Gachagan, Development of an efficient conformable array structure, in: Review of progress in QNDE, Chicago, USA, 2008. – volume: 91 year: 2018 ident: b0125 article-title: Medical breast ultrasound image segmentation by machine learning publication-title: Ultrasonics – volume: 54 start-page: 1842 year: 2014 end-page: 1850 ident: b0050 article-title: A comparison between ultrasonic array beamforming and super resolution imaging algorithms for non-destructive evaluation publication-title: Ultrasonics – volume: 62 start-page: 475 year: 2015 end-page: 493 ident: b0110 article-title: Waveform inversion with source encoding for breast sound speed reconstruction in ultrasound computed tomography publication-title: IEEE Trans. Ultrason. Ferroelect. Freq. Contr. – volume: 43 year: 2009 ident: b0065 article-title: Defect detection using ultrasonic arrays: The multi-mode total focusing method publication-title: NDT and E Int. – start-page: 1038 year: 2007 end-page: 1043 ident: b0155 article-title: Study on definition evaluation function based on image contrast variation publication-title: China-Ireland International Conference on Information and Communications Technologies – reference: H. Li, C.Y. Fu, An improved focusing algorithm based on image definition evaluation, 2011 2nd International Conference on Artificial Intelligence. Management Science and Electronic Commerce, 2011, pp. 3743–3746. – volume: 43 start-page: 1342 year: 1978 end-page: 1351 ident: b0080 article-title: Wave equation migration with the phase-shift method publication-title: Geophysics – volume: 25 start-page: 987 year: 2006 end-page: 1010 ident: b0105 article-title: Ultrasound image segmentation: a survey publication-title: IEEE Trans. Med. Imaging – volume: 43 year: 2009 ident: b0140 article-title: Autofocusing ultrasonic imagery for non-destructive testing and evaluation of specimens with complicated geometries publication-title: NDT and E Int. – volume: 122 start-page: 157 year: 1987 end-page: 162 ident: b0185 article-title: Fast simulated annealing publication-title: Phys. Lett. A. – volume: 48 year: 2008 ident: b0060 article-title: Advanced post-processing for scanned ultrasonic arrays: Application to defect detection and classification in non-destructive evaluation publication-title: Ultrasonics – volume: 151 start-page: 163 year: 2004 end-page: 170 ident: b0165 article-title: Displaced ping imaging autofocus for a multihydrophone array publication-title: IEE Proc Radar Sonar Navig. – volume: 25 start-page: 33 year: 1996 end-page: 54 ident: b0190 article-title: Adaptive simulated annealing (ASA): lessons learned publication-title: Control Cybern. – volume: 220 start-page: 671 year: 1983 end-page: 680 ident: b0180 article-title: Optimization by simulated annealing publication-title: Science – volume: 54 start-page: (8) year: 2007 ident: b0075 article-title: Advanced reflector characterization with ultrasonic phased arrays in NDE applications publication-title: IEEE Trans. Ultrason. Ferroelect. Freq. Contr. – reference: A. Jemal, T. Murray, E. Ward, et al. Cancer statistics, 2005. Ca-a Cancer J. Clin. 55 (2005) 10–30. – start-page: 1 year: 2013 end-page: 5 ident: b0040 article-title: A survey of medical imaging techniques used for breast cancer detection publication-title: IEEE International Conference on Electro-Information Technology – reference: G. Toullelan, et al., Flexible arrays for the ultrasonic inspection of complex parts, in: Review of progress in QNDE, Chicago, USA, 2008. – volume: 99 start-page: 201 year: 2019 end-page: 213 ident: b0175 article-title: Stochastic gradient descent and its variants in machine learning publication-title: J. Indian Inst. Sci. – volume: 49 start-page: 257 year: 2003 end-page: 262 ident: b0150 article-title: Modified fast climbing search auto-focus algorithm with adaptive step size searching technique for digital camera publication-title: IEEE Trans. Cons. Electronics – volume: 10 year: 2018 ident: b0025 article-title: Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review publication-title: Breast Cancer Res. Treat. – volume: 60 start-page: 2716 year: 2013 end-page: 2724 ident: b0045 article-title: Evaluation of ultrasound synthetic aperture imaging using bidirectional pixel-based focusing: preliminary phantom and in vivo breast study publication-title: IEEE Trans. Biomed. Eng. – ident: 10.1016/j.ultras.2020.106199_b0005 doi: 10.3322/caac.21442 – volume: 151 start-page: 163 issue: 3 year: 2004 ident: 10.1016/j.ultras.2020.106199_b0165 article-title: Displaced ping imaging autofocus for a multihydrophone array publication-title: IEE Proc Radar Sonar Navig. doi: 10.1049/ip-rsn:20040420 – volume: 38 issue: 8 year: 2005 ident: 10.1016/j.ultras.2020.106199_b0055 article-title: Post-processing of the full matrix of ultrasonic transmit–receive array data for non-destructive evaluation publication-title: NDT and E Int. doi: 10.1016/j.ndteint.2005.04.002 – volume: 60 start-page: 2716 issue: 10 year: 2013 ident: 10.1016/j.ultras.2020.106199_b0045 article-title: Evaluation of ultrasound synthetic aperture imaging using bidirectional pixel-based focusing: preliminary phantom and in vivo breast study publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2013.2263310 – volume: 140 start-page: 2113 issue: 3 year: 2016 ident: 10.1016/j.ultras.2020.106199_b0120 article-title: Acoustic attenuation imaging of tissue bulk properties with a priori information publication-title: J. Acoust. Soc. Am. doi: 10.1121/1.4962983 – volume: 189 start-page: 99 issue: 1 year: 1993 ident: 10.1016/j.ultras.2020.106199_b0030 article-title: Breast diseases: color Doppler US in differential diagnosis publication-title: Radiology doi: 10.1148/radiology.189.1.8372225 – volume: 10 year: 2018 ident: 10.1016/j.ultras.2020.106199_b0025 article-title: Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review publication-title: Breast Cancer Res. Treat. – volume: 54 start-page: 1842 year: 2014 ident: 10.1016/j.ultras.2020.106199_b0050 article-title: A comparison between ultrasonic array beamforming and super resolution imaging algorithms for non-destructive evaluation publication-title: Ultrasonics doi: 10.1016/j.ultras.2013.12.012 – volume: 25 start-page: 33 year: 1996 ident: 10.1016/j.ultras.2020.106199_b0190 article-title: Adaptive simulated annealing (ASA): lessons learned publication-title: Control Cybern. – start-page: 1 year: 2013 ident: 10.1016/j.ultras.2020.106199_b0040 article-title: A survey of medical imaging techniques used for breast cancer detection publication-title: IEEE International Conference on Electro-Information Technology – volume: 62 start-page: 475 issue: 3 year: 2015 ident: 10.1016/j.ultras.2020.106199_b0110 article-title: Waveform inversion with source encoding for breast sound speed reconstruction in ultrasound computed tomography publication-title: IEEE Trans. Ultrason. Ferroelect. Freq. Contr. doi: 10.1109/TUFFC.2014.006788 – volume: 43 issue: 2 year: 2009 ident: 10.1016/j.ultras.2020.106199_b0065 article-title: Defect detection using ultrasonic arrays: The multi-mode total focusing method publication-title: NDT and E Int. doi: 10.1016/j.ndteint.2009.10.001 – volume: 49 start-page: 257 issue: 2 year: 2003 ident: 10.1016/j.ultras.2020.106199_b0150 article-title: Modified fast climbing search auto-focus algorithm with adaptive step size searching technique for digital camera publication-title: IEEE Trans. Cons. Electronics doi: 10.1109/TCE.2003.1209511 – ident: 10.1016/j.ultras.2020.106199_b0160 doi: 10.1109/AIMSEC.2011.6009938 – volume: 48 issue: 6 year: 2008 ident: 10.1016/j.ultras.2020.106199_b0060 article-title: Advanced post-processing for scanned ultrasonic arrays: Application to defect detection and classification in non-destructive evaluation publication-title: Ultrasonics – volume: 64 start-page: 1067 issue: 4 year: 1999 ident: 10.1016/j.ultras.2020.106199_b0090 article-title: Wavefield extrapolation by nonstationary phase shift publication-title: Geophysics doi: 10.1190/1.1444614 – ident: 10.1016/j.ultras.2020.106199_b0135 – volume: 4 start-page: 336 issue: 6 year: 2005 ident: 10.1016/j.ultras.2020.106199_b0020 article-title: Early diagnosis and treatment of breast cancer publication-title: Chin. J. General Practitioners – volume: 91 year: 2018 ident: 10.1016/j.ultras.2020.106199_b0125 article-title: Medical breast ultrasound image segmentation by machine learning publication-title: Ultrasonics – volume: 48 issue: 6 year: 2008 ident: 10.1016/j.ultras.2020.106199_b0070 article-title: Advanced post-processing for scanned ultrasonic arrays: Application to defect detection and classification in non-destructive evaluation publication-title: Ultrasonics – volume: 58 start-page: 414 issue: 2 year: 2011 ident: 10.1016/j.ultras.2020.106199_b0095 article-title: Least-squares estimation of imaging parameters for an ultrasonic array using known geometric image features publication-title: IEEE Trans. Ultrason. Ferroelect. Freq. Contr. doi: 10.1109/TUFFC.2011.1819 – volume: 43 issue: 2 year: 2009 ident: 10.1016/j.ultras.2020.106199_b0140 article-title: Autofocusing ultrasonic imagery for non-destructive testing and evaluation of specimens with complicated geometries publication-title: NDT and E Int. doi: 10.1016/j.ndteint.2009.09.001 – ident: 10.1016/j.ultras.2020.106199_b0010 doi: 10.3322/canjclin.55.1.10 – year: 2003 ident: 10.1016/j.ultras.2020.106199_b0170 – volume: 43 start-page: 1342 issue: 7 year: 1978 ident: 10.1016/j.ultras.2020.106199_b0080 article-title: Wave equation migration with the phase-shift method publication-title: Geophysics doi: 10.1190/1.1440899 – volume: 43 start-page: 23 issue: 1 year: 1978 ident: 10.1016/j.ultras.2020.106199_b0085 article-title: Migration by Fourier transform publication-title: Geophysics doi: 10.1190/1.1440826 – volume: 122 start-page: 157 issue: 3–4 year: 1987 ident: 10.1016/j.ultras.2020.106199_b0185 article-title: Fast simulated annealing publication-title: Phys. Lett. A. doi: 10.1016/0375-9601(87)90796-1 – volume: 220 start-page: 671 issue: 4598 year: 1983 ident: 10.1016/j.ultras.2020.106199_b0180 article-title: Optimization by simulated annealing publication-title: Science doi: 10.1126/science.220.4598.671 – volume: 28 start-page: 2493 issue: 11 year: 2019 ident: 10.1016/j.ultras.2020.106199_b0035 article-title: The diagnostic value of mammography in early breast cancer publication-title: Modern Medical Imageology – volume: 54 start-page: (8) year: 2007 ident: 10.1016/j.ultras.2020.106199_b0075 article-title: Advanced reflector characterization with ultrasonic phased arrays in NDE applications publication-title: IEEE Trans. Ultrason. Ferroelect. Freq. Contr. doi: 10.1109/TUFFC.2007.424 – start-page: 10139 year: 2017 ident: 10.1016/j.ultras.2020.106199_b0100 article-title: Limited angle breast ultrasound tomography with a priori information and artifact removal, in publication-title: Medical Imaging 2017: Ultrasonic Imaging and Tomography – start-page: 1038 year: 2007 ident: 10.1016/j.ultras.2020.106199_b0155 article-title: Study on definition evaluation function based on image contrast variation publication-title: China-Ireland International Conference on Information and Communications Technologies – volume: 141 start-page: 155 year: 2006 ident: 10.1016/j.ultras.2020.106199_b0015 article-title: Changing patterns in the clinical characteristics of Korean patients with breast cancer during the last 15 years publication-title: Arch Surg. doi: 10.1001/archsurg.141.2.155 – volume: 99 start-page: 201 issue: 2 year: 2019 ident: 10.1016/j.ultras.2020.106199_b0175 article-title: Stochastic gradient descent and its variants in machine learning publication-title: J. Indian Inst. Sci. doi: 10.1007/s41745-019-0098-4 – ident: 10.1016/j.ultras.2020.106199_b0130 doi: 10.1063/1.3114336 – volume: 31 start-page: 1389 issue: 9 year: 2012 ident: 10.1016/j.ultras.2020.106199_b0115 article-title: Imaging of sound speed using reflection ultrasound tomography publication-title: J. Ultrasound Med. doi: 10.7863/jum.2012.31.9.1389 – volume: 4 start-page: 289 issue: 3 year: 2010 ident: 10.1016/j.ultras.2020.106199_b0145 article-title: No-reference assessment of blur and noise impacts on image quality publication-title: SIViP doi: 10.1007/s11760-009-0117-4 – volume: 25 start-page: 987 issue: 8 year: 2006 ident: 10.1016/j.ultras.2020.106199_b0105 article-title: Ultrasound image segmentation: a survey publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2006.877092 |
| SSID | ssj0014813 |
| Score | 2.4371035 |
| Snippet | •An ultrasound diagnosis of breast cancer using a flexible ultrasound transducer is proposed.•A new mathematical model was established for ultrasound diagnosis... Breast cancer is a very common malignant tumour that typically occurs in women aged 35-70 years (accounting for 85% of patients). Recently, it has been... |
| SourceID | unpaywall proquest crossref elsevier |
| SourceType | Open Access Repository Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 106199 |
| SubjectTerms | Breast cancer Flexible ultrasound transducer Image post-processing Self-shape estimation |
| SummonAdditionalLinks | – databaseName: Elsevier ScienceDirect dbid: .~1 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Na9wwEBUhUJoeQpu0dJO2qJCrEq8lS_IxhC6hh54a2JsZfTUbXO_i9VJyKfkP-Yf9JdVY9rKFQkqPFiMYa6SZB3rzRMhZEWuAhngAg9KGCZA5M3kpGc8LXRrlYl7uCbJf5PWN-Dwv5nvkauyFQVrlkPtTTu-z9TByMazmxWqxwB7fCCZyMc8R1XONmqBCKHzF4PznluYR0f50uGWeMrQe2-d6jtem7lpA0e4ch2RSgP1redqBn883zQruf0Bd71Si2UtyOEBIepm8fEX2fHNEXuwICx6RZz2x066PiZmh4qWpPU1eoBIuhbaFexrhKjXISe-Yxdi31CXe3WJNsbg5umwo0LWvA1vfwsr_enhETY7U7Eih_rZsF93t99fkZvbp69U1G95VYFYU046VwvAQdNAyuFjAy8KoUkuvjffSFZkXIvgQwOageQZQ5k6URhursjIrQGv-huw3y8a_JZSbIJ3kLmTWiqlRJlOuMNp6y6WyYCeEj8tZ2UF0HN--qKuRXXZXpd-vMAhVCsKEsO2sVRLdeMJejZGq_tg8VawLT8z8OAa2iucKL0ug8ctNNBIR-3BE0xNyvo34P7lz8t_unJID_Ep0mXdkv2s3_n0EPZ350O_q36m9AvE priority: 102 providerName: Elsevier |
| Title | Flexible ultrasonic array for breast-cancer diagnosis based on a self-shape–estimation algorithm |
| URI | https://dx.doi.org/10.1016/j.ultras.2020.106199 https://www.proquest.com/docview/2418130020 https://doi.org/10.1016/j.ultras.2020.106199 |
| UnpaywallVersion | publishedVersion |
| Volume | 108 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Baden-Württemberg Complete Freedom Collection (Elsevier) customDbUrl: eissn: 1874-9968 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0014813 issn: 0041-624X databaseCode: GBLVA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Complete Freedom Collection [SCCMFC] customDbUrl: eissn: 1874-9968 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0014813 issn: 0041-624X databaseCode: ACRLP dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection customDbUrl: eissn: 1874-9968 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0014813 issn: 0041-624X databaseCode: .~1 dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: ScienceDirect Freedom Collection Journals customDbUrl: eissn: 1874-9968 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0014813 issn: 0041-624X databaseCode: AIKHN dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVLSH databaseName: Elsevier Journals customDbUrl: mediaType: online eissn: 1874-9968 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0014813 issn: 0041-624X databaseCode: AKRWK dateStart: 19630101 isFulltext: true providerName: Library Specific Holdings |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1dixMxFL3stoj44MeqWNESwUdTppNMJnksYqmKxQcL9WnIp7s6Tst0BlkfxP_gP_SXmDQzSxWWXV-HJCS59849IeeeADzPfA7g0gegy7nCVLIUq1QwTNKMC5Ub_1_eE2SXbLGib9bZ-ghe9LUwf93f73lYbemP_EFYOw2fPN4XxzBkmUfeAxiulu9nH-Ml8hSzlK7D-YrnFHsYz_tKuUuGuSwTHSDNm221leffZFkeJJ35HXjXTzdyTb5M2kZN9Pd_lByvu567cLtDn2gW3eUeHNnqBG4daBKewI09J1Tv7oOaB7FMVVoUBwsiukjWtTxHHukiFejsDdbBbWpkImXvbIdCXjRoUyGJdrZ0eHcqt_b3z19BziPWSSJZftrUZ83p1wewmr_68HKBuycZsKbZtMGCKuIcd5w543O_yFQuOLNcWctMllhKnXVO6lRykkgpUkOF4krniUgyyTl5CINqU9lHgIhyzDBiXKI1napcJbnJFNdWE5ZrqUdAevMUutMrD89mlEVPTPtcxOUXYS-LuJcjwBe9tlGv44r2eW_5osMcEUsU3nJX9HzWO0rhQzLcs8jKblrfiHrYRAIQH8HkwoOuNZ3H_9vhCQyaurVPPTJq1BiOJz-mYxjOXr9dLMddePwB660QVQ |
| linkProvider | Unpaywall |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1baxQxFA61ItWHolVxvUbwNe1s7vMoxWXV2qcW9i3kareMs8vsLNIX8T_4D_tLmkxmlhUKFV9zgTM5yTnfkO98AeADizlA6ngAg5AGUc0xMrjkiGAmSyNcjMsdQfaUT8_plxmb7YDjoRYm0Sr72J9jehet-5ajfjWPlvN5qvGNYALTGU6onkh6D9ynDIv0B3b4a8PziHB_3F8zj1EaPtTPdSSvddU2Oql249TEswTsrflpC3_ureulvvqpq2orFU0eg_0eQ8KP2cwnYMfXB-DRlrLgAXjQMTvt6ikwkyR5aSoPsxVJChfqptFXMOJVaBIpvUU2Ob-BLhPv5iuYspuDixpquPJVQKsLvfTXv_8kUY5c7Qh19X3RzNuLH8_A-eTT2fEU9Q8rIEvZuEUlNSQEGSQPLmbwkhlRSu6l8Z47VnhKgw9BW6wlKbQusaOlkcaKoiyYlpI8B7v1ovYvACQmcMeJC4W1dGyEKYRjRlpvCRdW2xEgw3Iq26uOp8cvKjXQyy5V_nyVnKCyE0YAbWYts-rGHePF4Cn11-5RMTHcMfP94FgVD1a6LdG1X6zjIBrBD0lwegQONx7_J3Ne_rc578De9OzbiTr5fPr1FXiYejJ35jXYbZu1fxMRUGvedjv8BrfvBhQ |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1daxQxFL3ULSI-VK2KK1Ui-GiW2Zl8PpbSpQgWH1xYn4Z82up0dpmdQdqn_gf_ob_EZDNTVqG0vg5JSHLvnXtCzj0BeE9DDhAqBKDnQmOiWI51Lhkuciqk5jb8lzcE2VN2MicfF3SxAx-GWpi_7u83PKyuCkf-KKydx08B78sHsMtoQN4j2J2ffj78mi6Rp5jlZBHPV4ITHGC8GCrlbhnmtky0hTQfdfVKXf5UVbWVdGZP4NMw3cQ1-THpWj0xV_8oOd53PU9hr0ef6DC5yzPYcfU-PN7SJNyHhxtOqFk_Bz2LYpm6cigNFkV0kWoadYkC0kU60tlbbKLbNMgmyt75GsW8aNGyRgqtXeXx-kyt3O_rX1HOI9VJIlV9Wzbn7dnFC5jPjr8cneD-SQZsCJ22WBJdeC-8YN6G3C-p5lIwJ7RzzNLMEeKd98rkShSZUjK3RGqhDc9kRpUQxUsY1cvavQJUaM8sK6zPjCFTzXXGLdXCOFMwbpQZQzGYpzS9Xnl8NqMqB2La9zItv4x7Waa9HAO-6bVKeh13tOeD5csecyQsUQbL3dHz3eAoZQjJeM-iarfsQiMSYFMRgfgYJjcedK_pvP7fDgcwapvOvQnIqNVv-4D4Ax5SDck |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Flexible+ultrasonic+array+for+breast-cancer+diagnosis+based+on+a+self-shape-estimation+algorithm&rft.jtitle=Ultrasonics&rft.au=Chang%2C+Junjie&rft.au=Chen%2C+Zhiheng&rft.au=Huang%2C+Yuqiao&rft.au=Li%2C+Yuanyuan&rft.date=2020-12-01&rft.issn=1874-9968&rft.eissn=1874-9968&rft.volume=108&rft.spage=106199&rft_id=info:doi/10.1016%2Fj.ultras.2020.106199&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0041-624X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0041-624X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0041-624X&client=summon |