Deep residual inception encoder‐decoder network for amyloid PET harmonization
Introduction Multiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and quantitative analysis. We accordingly developed and validated a deep learning model as a harmonization strategy. Method A Residual Incept...
Saved in:
| Published in | Alzheimer's & dementia Vol. 18; no. 12; pp. 2448 - 2457 |
|---|---|
| Main Authors | , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
John Wiley and Sons Inc
01.12.2022
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1552-5260 1552-5279 1552-5279 |
| DOI | 10.1002/alz.12564 |
Cover
| Abstract | Introduction
Multiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and quantitative analysis. We accordingly developed and validated a deep learning model as a harmonization strategy.
Method
A Residual Inception Encoder‐Decoder Neural Network was developed to harmonize images between amyloid PET image pairs made with Pittsburgh Compound‐B and florbetapir tracers. The model was trained using a dataset with 92 subjects with 10‐fold cross validation and its generalizability was further examined using an independent external dataset of 46 subjects.
Results
Significantly stronger between‐tracer correlations (P < .001) were observed after harmonization for both global amyloid burden indices and voxel‐wise measurements in the training cohort and the external testing cohort.
Discussion
We proposed and validated a novel encoder‐decoder based deep model to harmonize amyloid PET imaging data from different tracers. Further investigation is ongoing to improve the model and apply to additional tracers. |
|---|---|
| AbstractList | Introduction
Multiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and quantitative analysis. We accordingly developed and validated a deep learning model as a harmonization strategy.
Method
A Residual Inception Encoder‐Decoder Neural Network was developed to harmonize images between amyloid PET image pairs made with Pittsburgh Compound‐B and florbetapir tracers. The model was trained using a dataset with 92 subjects with 10‐fold cross validation and its generalizability was further examined using an independent external dataset of 46 subjects.
Results
Significantly stronger between‐tracer correlations (P < .001) were observed after harmonization for both global amyloid burden indices and voxel‐wise measurements in the training cohort and the external testing cohort.
Discussion
We proposed and validated a novel encoder‐decoder based deep model to harmonize amyloid PET imaging data from different tracers. Further investigation is ongoing to improve the model and apply to additional tracers. Multiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and quantitative analysis. We accordingly developed and validated a deep learning model as a harmonization strategy. A Residual Inception Encoder-Decoder Neural Network was developed to harmonize images between amyloid PET image pairs made with Pittsburgh Compound-B and florbetapir tracers. The model was trained using a dataset with 92 subjects with 10-fold cross validation and its generalizability was further examined using an independent external dataset of 46 subjects. Significantly stronger between-tracer correlations (P < .001) were observed after harmonization for both global amyloid burden indices and voxel-wise measurements in the training cohort and the external testing cohort. We proposed and validated a novel encoder-decoder based deep model to harmonize amyloid PET imaging data from different tracers. Further investigation is ongoing to improve the model and apply to additional tracers. Multiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and quantitative analysis. We accordingly developed and validated a deep learning model as a harmonization strategy.INTRODUCTIONMultiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and quantitative analysis. We accordingly developed and validated a deep learning model as a harmonization strategy.A Residual Inception Encoder-Decoder Neural Network was developed to harmonize images between amyloid PET image pairs made with Pittsburgh Compound-B and florbetapir tracers. The model was trained using a dataset with 92 subjects with 10-fold cross validation and its generalizability was further examined using an independent external dataset of 46 subjects.METHODA Residual Inception Encoder-Decoder Neural Network was developed to harmonize images between amyloid PET image pairs made with Pittsburgh Compound-B and florbetapir tracers. The model was trained using a dataset with 92 subjects with 10-fold cross validation and its generalizability was further examined using an independent external dataset of 46 subjects.Significantly stronger between-tracer correlations (P < .001) were observed after harmonization for both global amyloid burden indices and voxel-wise measurements in the training cohort and the external testing cohort.RESULTSSignificantly stronger between-tracer correlations (P < .001) were observed after harmonization for both global amyloid burden indices and voxel-wise measurements in the training cohort and the external testing cohort.We proposed and validated a novel encoder-decoder based deep model to harmonize amyloid PET imaging data from different tracers. Further investigation is ongoing to improve the model and apply to additional tracers.DISCUSSIONWe proposed and validated a novel encoder-decoder based deep model to harmonize amyloid PET imaging data from different tracers. Further investigation is ongoing to improve the model and apply to additional tracers. |
| Author | Su, Yi Ghisays, Valentina Shah, Jay Luo, Ji Chen, Kewei Benzinger, Tammie L.S. Gao, Fei Chen, Yinghua Reiman, Eric M. Wu, Teresa Zhou, Yuxiang Li, Baoxin Lee, Wendy |
| AuthorAffiliation | 5 Mallinckrodt Institute of Radiology Washington University School of Medicine in St. Louis 510 South Kingshighway Boulevard St. Louis Missouri 63110 USA 1 ASU‐Mayo Center for Innovative Imaging Arizona State University 699 S. Mill Ave. Tempe Arizona 85287 USA 4 Department of Radiology Mayo Clinic at Arizona 5777 E Mayo Blvd Phoenix Arizona 85054 USA 2 School of Computing and Augmented Intelligence Arizona State University 699 S. Mill Ave. Tempe Arizona 85287 USA 3 Banner Alzheimer's Institute 901 E. Willetta Street Phoenix Arizona 85006 USA |
| AuthorAffiliation_xml | – name: 2 School of Computing and Augmented Intelligence Arizona State University 699 S. Mill Ave. Tempe Arizona 85287 USA – name: 4 Department of Radiology Mayo Clinic at Arizona 5777 E Mayo Blvd Phoenix Arizona 85054 USA – name: 5 Mallinckrodt Institute of Radiology Washington University School of Medicine in St. Louis 510 South Kingshighway Boulevard St. Louis Missouri 63110 USA – name: 1 ASU‐Mayo Center for Innovative Imaging Arizona State University 699 S. Mill Ave. Tempe Arizona 85287 USA – name: 3 Banner Alzheimer's Institute 901 E. Willetta Street Phoenix Arizona 85006 USA |
| Author_xml | – sequence: 1 givenname: Jay orcidid: 0000-0002-3617-2395 surname: Shah fullname: Shah, Jay organization: Arizona State University – sequence: 2 givenname: Fei surname: Gao fullname: Gao, Fei organization: Arizona State University – sequence: 3 givenname: Baoxin surname: Li fullname: Li, Baoxin organization: Arizona State University – sequence: 4 givenname: Valentina surname: Ghisays fullname: Ghisays, Valentina organization: Banner Alzheimer's Institute – sequence: 5 givenname: Ji surname: Luo fullname: Luo, Ji organization: Banner Alzheimer's Institute – sequence: 6 givenname: Yinghua surname: Chen fullname: Chen, Yinghua organization: Banner Alzheimer's Institute – sequence: 7 givenname: Wendy surname: Lee fullname: Lee, Wendy organization: Banner Alzheimer's Institute – sequence: 8 givenname: Yuxiang surname: Zhou fullname: Zhou, Yuxiang organization: Mayo Clinic at Arizona – sequence: 9 givenname: Tammie L.S. surname: Benzinger fullname: Benzinger, Tammie L.S. organization: Washington University School of Medicine in St. Louis – sequence: 10 givenname: Eric M. surname: Reiman fullname: Reiman, Eric M. organization: Banner Alzheimer's Institute – sequence: 11 givenname: Kewei surname: Chen fullname: Chen, Kewei organization: Banner Alzheimer's Institute – sequence: 12 givenname: Yi surname: Su fullname: Su, Yi email: yi.su@bannerhealth.com organization: Banner Alzheimer's Institute – sequence: 13 givenname: Teresa surname: Wu fullname: Wu, Teresa organization: Arizona State University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35142053$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kM1O3DAUhS0E4rcLXqDKsq00YDt2Jt5UQpS2SCPRxay6se44N8WtY6d2wmhY9RF4Rp6kYWaAUgErX9nfOef67JFNHzwScsjoEaOUH4O7PmJcFmKD7DIp-Ujysdp8mAu6Q_ZS-kmpoCWT22Qnl0xwKvNdcvEJsc0iJlv14DLrDbadDT5Db0KF8fbPTYXLKfPYzUP8ldUhZtAsXLBV9u1sml1CbIK313CnOyBbNbiEb9bnPpl-Ppuefh1NLr6cn55MRkYwKUaAitdlOctpaapCIghe5jNeGRgbJspaATdoVMVNnZtZUYMphVBMqrqUYrjbJx9Wtr1vYTEH53QbbQNxoRnVd6XooRS9LGWAP67gtp81WBn0XYRHQQCrn754e6l_hCut8oIypQaDd2uDGH73mDrd2GTQOfAY-qR5wcdinPNl1tt_sx5C7hsfgOMVYGJIKWKtje2W1Q3R1j27_vv_FK99de0-tw4XL4P6ZPJ9pfgLx4CzDA |
| CitedBy_id | crossref_primary_10_1111_ejn_16332 crossref_primary_10_3390_life14121580 crossref_primary_10_1007_s43657_022_00068_9 crossref_primary_10_1093_radadv_umae019 crossref_primary_10_1007_s00259_023_06209_0 crossref_primary_10_3233_JAD_221261 crossref_primary_10_1002_alz_13677 crossref_primary_10_1002_dad2_12436 crossref_primary_10_1002_jmri_29070 crossref_primary_10_1016_j_neuroimage_2022_119527 crossref_primary_10_1016_j_aiia_2023_03_001 |
| Cites_doi | 10.1016/s1474‐4422(12)70227‐2 10.1016/j.jalz.2014.07.003 10.1016/j.jalz.2015.05.001 10.1001/archneurol.2011.150 10.1145/3422622 10.1016/j.cell.2019.09.001 10.1016/j.neuroimage.2014.11.058 10.2967/jnumed.112.109009 10.2967/jnumed.109.069088 10.1056/NEJMoa1202753 10.1007/BF00308809 10.1016/j.nicl.2018.04.022 10.1016/j.acra.2008.07.006 10.1016/s1474‐4422(11)70077‐1 10.1101/2019.12.13.19014902 10.1109/CVPR.2016.90 10.1016/j.compmedimag.2019.101684 10.1109/JBHI.2019.2912659 10.1016/j.neuroimage.2009.01.057 10.1016/j.jalz.2018.02.018 10.1371/journal.pone.0073377 10.2967/jnumed.111.094029 10.1148/radiol.2017170700 10.1016/0197-4580(91)90006-6 10.1002/alz.12109 10.1038/nature14539 10.1007/978-3-319-24574-4_28 10.1016/j.dadm.2018.12.008 10.3233/JAD-122059 10.1016/j.trci.2019.02.005 10.1126/scitranslmed.3007941 10.1016/j.jalz.2019.02.005 10.4155/cli.12.93 10.1002/ana.22248 10.1212/01.wnl.0000228230.26044.a4 10.1016/j.jalz.2018.06.1353 10.1001/jama.2015.4668 10.1016/j.neurol.2013.07.017 10.1186/s13195-020-00587-5 10.1021/jm030026b 10.2967/jnumed.109.063305 10.1038/s41598-018-37769-z 10.1002/ana.20009 10.1109/ICCV.2017.244 |
| ContentType | Journal Article |
| Copyright | 2022 The Authors. published by Wiley Periodicals LLC on behalf of Alzheimer's Association 2022 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. |
| Copyright_xml | – notice: 2022 The Authors. published by Wiley Periodicals LLC on behalf of Alzheimer's Association – notice: 2022 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. |
| DBID | 24P AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM ADTOC UNPAY |
| DOI | 10.1002/alz.12564 |
| DatabaseName | Wiley Online Library Open Access CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: 24P name: Wiley Online Library Open Access url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html sourceTypes: Publisher – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| DocumentTitleAlternate | SHAH et al |
| EISSN | 1552-5279 |
| EndPage | 2457 |
| ExternalDocumentID | 10.1002/alz.12564 PMC9360199 35142053 10_1002_alz_12564 ALZ12564 |
| Genre | article Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural |
| GrantInformation_xml | – fundername: National Institute of Health/National Institute of Biomedical Imaging and Bioengineering funderid: R01EB009352 – fundername: Arizona Department of Health Services (ADHS) and the State of Arizona, ADHS funderid: CTR040636 – fundername: National Institute of Health/National Institute on Aging funderid: R01AG031581; R01AG069453; P30AG019610; P50AG00561; P01AG026276; P01AG003991; R01AG043434 – fundername: National Institute of Health/National Institute of Neurological Disorders and Stroke funderid: P30NS098577 – fundername: NIA NIH HHS grantid: P30 AG072980 – fundername: NIBIB NIH HHS grantid: R01 EB009352 – fundername: NIA NIH HHS grantid: P01 AG003991 – fundername: NIA NIH HHS grantid: RF1 AG073424 – fundername: NIH HHS grantid: S10 OD025214 – fundername: NIA NIH HHS grantid: P30 AG019610 – fundername: NCATS NIH HHS grantid: UL1 TR002345 – fundername: NCATS NIH HHS grantid: UL1 TR000448 – fundername: NIA NIH HHS grantid: P01 AG026276 – fundername: NIA NIH HHS grantid: R01 AG043434 – fundername: National Institute of Health/National Institute of Biomedical Imaging and Bioengineering grantid: R01EB009352 – fundername: National Institute of Health/National Institute on Aging grantid: R01AG031581; R01AG069453; P30AG019610; P50AG00561; P01AG026276; P01AG003991; R01AG043434 – fundername: Arizona Department of Health Services (ADHS) and the State of Arizona, ADHS grantid: CTR040636 – fundername: National Institute of Health/National Institute of Neurological Disorders and Stroke grantid: P30NS098577 |
| GroupedDBID | --- --K --M .~1 0R~ 1B1 1OC 1~. 1~5 24P 33P 4.4 457 4G. 53G 5VS 7-5 71M 7RV 7X7 8FI 8FJ 8P~ AACTN AAEDT AAHHS AAIKJ AAKOC AALRI AANLZ AAOAW AAXLA AAXUO AAYCA ABBQC ABCQJ ABCUV ABIVO ABJNI ABMAC ABMZM ABUWG ABWVN ACCFJ ACCMX ACCZN ACGFS ACGOF ACPOU ACRPL ACXQS ADBBV ADBTR ADEZE ADHUB ADKYN ADMUD ADNMO ADPDF ADVLN ADZMN ADZOD AEEZP AEIGN AEKER AENEX AEQDE AEUYR AEVXI AFKRA AFTJW AFWVQ AGHFR AGUBO AGWIK AGYEJ AITUG AIURR AIWBW AJBDE AJOXV AJRQY AKRWK ALMA_UNASSIGNED_HOLDINGS ALUQN AMFUW AMRAJ AMYDB ANZVX AZQEC BENPR BFHJK BLXMC C45 CCPQU DCZOG EBS EJD EMOBN EO8 EO9 EP2 EP3 F5P FDB FEDTE FIRID FNPLU FYUFA G-Q GBLVA HMCUK HVGLF HX~ HZ~ IHE J1W K9- LATKE LEEKS M0R M41 MO0 MOBAO N9A NAPCQ O-L O9- OAUVE OVD OVEED OZT P-8 P-9 P2P PC. PGMZT PIMPY PSYQQ Q38 QTD RIG ROL RPM RPZ SDF SDG SEL SES SSZ SUPJJ T5K TEORI UKHRP ~G- AAMMB AAYWO AAYXX ACVFH ADCNI AEFGJ AEUPX AFPUW AGHNM AGXDD AIDQK AIDYY AIGII AKBMS AKYEP CITATION EFLBG PHGZM PHGZT PJZUB PPXIY PUEGO ~HD CGR CUY CVF ECM EIF NPM 7X8 5PM ADTOC UNPAY |
| ID | FETCH-LOGICAL-c4154-ae92f88b308cd65ea4283b2dca7c148f9a2cec9d2cf3cb6fac8449159f854cf3 |
| IEDL.DBID | UNPAY |
| ISSN | 1552-5260 1552-5279 |
| IngestDate | Wed Aug 20 00:10:44 EDT 2025 Tue Sep 30 17:15:24 EDT 2025 Sun Sep 28 12:34:57 EDT 2025 Sun Jul 20 01:30:40 EDT 2025 Wed Oct 01 02:33:10 EDT 2025 Thu Apr 24 23:08:36 EDT 2025 Wed Jan 22 16:21:30 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 12 |
| Keywords | Alzheimer's disease Centiloid amyloid PET |
| Language | English |
| License | Attribution-NonCommercial 2022 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. cc-by-nc |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c4154-ae92f88b308cd65ea4283b2dca7c148f9a2cec9d2cf3cb6fac8449159f854cf3 |
| Notes | Yi Su and Teresa Wu contributed equally to this work. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0002-3617-2395 |
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.12564 |
| PMID | 35142053 |
| PQID | 2627473264 |
| PQPubID | 23479 |
| PageCount | 10 |
| ParticipantIDs | unpaywall_primary_10_1002_alz_12564 pubmedcentral_primary_oai_pubmedcentral_nih_gov_9360199 proquest_miscellaneous_2627473264 pubmed_primary_35142053 crossref_citationtrail_10_1002_alz_12564 crossref_primary_10_1002_alz_12564 wiley_primary_10_1002_alz_12564_ALZ12564 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | December 2022 |
| PublicationDateYYYYMMDD | 2022-12-01 |
| PublicationDate_xml | – month: 12 year: 2022 text: December 2022 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: Hoboken |
| PublicationTitle | Alzheimer's & dementia |
| PublicationTitleAlternate | Alzheimers Dement |
| PublicationYear | 2022 |
| Publisher | John Wiley and Sons Inc |
| Publisher_xml | – name: John Wiley and Sons Inc |
| References | 2019; 9 2018; 286 2009; 46 2019; 5 1991; 12 2020; 63 2019; 11 2015; 521 2015; 11 2019; 15 1991; 82 2020; 16 2008; 15 2013; 169 2011; 10 2020; 79 2020; 12 2015; 107 2012; 367 2013; 8 2012; 11 2012; 53 2004; 55 2018; 19 2012; 2 2006; 67 2015; 313 2013; 54 2009; 50 2013; 34 2003; 46 2019 2019; 179 2011; 68 2020; 24 2015 2011; 69 2014; 17 2014; 6 2010; 51 2018; 14 e_1_2_7_6_1 e_1_2_7_5_1 e_1_2_7_4_1 e_1_2_7_3_1 e_1_2_7_9_1 e_1_2_7_8_1 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_18_1 e_1_2_7_17_1 e_1_2_7_16_1 e_1_2_7_40_1 e_1_2_7_2_1 e_1_2_7_15_1 e_1_2_7_41_1 e_1_2_7_14_1 e_1_2_7_42_1 e_1_2_7_13_1 Gao F (e_1_2_7_33_1) 2019 e_1_2_7_43_1 e_1_2_7_12_1 e_1_2_7_44_1 e_1_2_7_11_1 e_1_2_7_45_1 e_1_2_7_10_1 e_1_2_7_46_1 e_1_2_7_47_1 e_1_2_7_26_1 e_1_2_7_48_1 e_1_2_7_27_1 e_1_2_7_28_1 e_1_2_7_29_1 Li R (e_1_2_7_34_1) 2014; 17 e_1_2_7_30_1 e_1_2_7_25_1 e_1_2_7_31_1 e_1_2_7_24_1 e_1_2_7_32_1 e_1_2_7_23_1 e_1_2_7_22_1 e_1_2_7_21_1 e_1_2_7_35_1 e_1_2_7_20_1 e_1_2_7_36_1 e_1_2_7_37_1 e_1_2_7_38_1 e_1_2_7_39_1 |
| References_xml | – volume: 17 start-page: 305 year: 2014 end-page: 312 article-title: Deep learning based imaging data completion for improved brain disease diagnosis publication-title: Med Image Comput Comput Assist Interv – start-page: 234 year: 2015 end-page: 241 – volume: 50 start-page: 1251 year: 2009 end-page: 1259 article-title: Phase 1 study of the Pittsburgh compound B derivative 18F‐flutemetamol in healthy volunteers and patients with probable Alzheimer disease publication-title: J Nucl Med – volume: 55 start-page: 306 year: 2004 end-page: 319 article-title: Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B publication-title: Ann Neurol – volume: 46 start-page: 154 year: 2009 end-page: 159 article-title: Reducing between scanner differences in multi‐center PET studies publication-title: Neuroimage – volume: 313 start-page: 1924 year: 2015 end-page: 1938 article-title: Prevalence of cerebral amyloid pathology in persons without dementia: a meta‐analysis publication-title: JAMA – volume: 169 start-page: 737 year: 2013 end-page: 743 article-title: Preclinical trials in autosomal dominant AD: implementation of the DIAN‐TU trial publication-title: Rev Neurol (Paris) – volume: 67 start-page: 446 issue: 3 year: 2006 end-page: 452 article-title: [11C]PIB in a nondemented population: Potential antecedent marker of Alzheimer disease publication-title: Neurology – volume: 11 start-page: 180 year: 2019 end-page: 190 article-title: Comparison of Pittsburgh compound B and florbetapir in cross‐sectional and longitudinal studies publication-title: Alzheimers Dement (Amst) – volume: 6 year: 2014 article-title: The A4 study: stopping AD before symptoms begin? publication-title: Sci Transl Med – start-page: 2242 end-page: 2251 – volume: 10 start-page: 424 issue: 5 year: 2011 end-page: 435 article-title: Cerebral amyloid‐β PET with florbetaben (18F) in patients with Alzheimer's disease and healthy controls: a multicentre phase 2 diagnostic study publication-title: Lancet Neurol – volume: 34 start-page: 457 year: 2013 end-page: 468 article-title: Early clinical PET imaging results with the novel PHF‐tau radioligand [F‐18]‐T807 publication-title: J Alzheimers Dis – volume: 9 start-page: 1952 year: 2019 article-title: For Alzheimer's disease neuroimaging I. Predicting Alzheimer's disease progression using multi‐modal deep learning approach publication-title: Sci Rep – volume: 63 start-page: 139 issue: 11 year: 2020 end-page: 144 article-title: Generative adversarial networks publication-title: Communications of the ACM – volume: 15 start-page: 1376 year: 2008 end-page: 1389 article-title: Automated (11)C‐PiB standardized uptake value ratio publication-title: Acad Radiol – volume: 16 start-page: 1023 year: 2020 end-page: 1030 article-title: Baseline demographic, clinical, and cognitive characteristics of the Alzheimer's Prevention Initiative (API) Autosomal‐Dominant Alzheimer's Disease Colombia Trial publication-title: Alzheimers Dement – volume: 14 start-page: 1565 issue: 12 year: 2018 end-page: 1571 article-title: Standardization of amyloid quantitation with florbetapir standardized uptake value ratios to the Centiloid scale publication-title: Alzheimers Dement – volume: 367 start-page: 795 year: 2012 end-page: 804 article-title: Clinical and biomarker changes in dominantly inherited Alzheimer's disease publication-title: N Engl J Med – volume: 14 start-page: 535 year: 2018 end-page: 562 article-title: NIA‐AA research framework: toward a biological definition of Alzheimer's disease publication-title: Alzheimers Dement – volume: 68 start-page: 1404 year: 2011 end-page: 1411 article-title: Using positron emission tomography and florbetapir F18 to image cortical amyloid in patients with mild cognitive impairment or dementia due to Alzheimer disease publication-title: Arch Neurol – volume: 46 start-page: 2740 year: 2003 end-page: 2754 article-title: Synthesis and evaluation of 11C‐labeled 6‐substituted 2‐arylbenzothiazoles as amyloid imaging agents publication-title: J Med Chem – volume: 11 start-page: 757 year: 2015 end-page: 771 article-title: The Alzheimer's Disease Neuroimaging Initiative 2 PET Core: 2015 publication-title: Alzheimers Dement – volume: 15 start-page: 807 year: 2019 end-page: 816 article-title: Comparison of F‐florbetaben quantification results using the standard Centiloid, MR‐based, and MR‐less CapAIBL approaches: validation against histopathology publication-title: Alzheimers Dement – volume: 5 start-page: 216 year: 2019 end-page: 227 article-title: The Alzheimer's Prevention Initiative Generation Program: study design of two randomized controlled trials for individuals at risk for clinical onset of Alzheimer's disease publication-title: Alzheimers Dement (N Y) – volume: 179 start-page: 312 issue: 2 year: 2019 end-page: 339 article-title: Alzheimer disease: an update on pathobiology and treatment strategies publication-title: Cell – volume: 521 start-page: 436 year: 2015 end-page: 444 article-title: Deep learning publication-title: Nature – volume: 51 start-page: 913 year: 2010 end-page: 920 article-title: In vivo imaging of amyloid deposition in Alzheimer disease using the radioligand 18F‐AV‐45 (florbetapir [corrected] F 18) publication-title: J Nucl Med – volume: 11 start-page: 1057 issue: 12 year: 2012 end-page: 1065 article-title: Florbetapir PET analysis of amyloid‐β deposition in the presenilin 1 E280A autosomal dominant Alzheimer's disease kindred: a cross‐sectional study publication-title: Lancet Neurol – volume: 19 start-page: 406 year: 2018 end-page: 416 article-title: Utilizing the Centiloid scale in cross‐sectional and longitudinal PiB PET studies publication-title: Neuroimage Clin – volume: 69 start-page: 181 year: 2011 end-page: 192 article-title: Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease publication-title: Ann Neurol – volume: 8 year: 2013 article-title: Quantitative analysis of PiB‐PET with FreeSurfer ROIs publication-title: PLoS One – volume: 107 start-page: 55 year: 2015 end-page: 64 article-title: Partial volume correction in quantitative amyloid imaging publication-title: Neuroimage – volume: 12 start-page: 22 year: 2020 article-title: Comparison of amyloid PET measured in Centiloid units with neuropathological findings in Alzheimer's disease publication-title: Alzheimers Res Ther – volume: 82 start-page: 239 year: 1991 end-page: 259 article-title: Neuropathological stageing of Alzheimer‐related changes publication-title: Acta Neuropathol – volume: 79 year: 2020 article-title: MedGAN: medical image translation using GANs publication-title: Comput Med Imaging Graph. – volume: 54 start-page: 70 year: 2013 end-page: 77 article-title: Amyloid‐β imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods publication-title: J Nucl Med – volume: 53 start-page: 415 year: 2012 end-page: 424 article-title: Clinical validation of 18F‐AZD4694, an amyloid‐β‐specific PET radioligand publication-title: J Nucl Med – volume: 286 start-page: 676 year: 2018 end-page: 684 article-title: Deep learning MR imaging‐based attenuation correction for PET/MR imaging publication-title: Radiology – volume: 11 start-page: 1 year: 2015 end-page: 15.e4 article-title: The Centiloid Project: standardizing quantitative amyloid plaque estimation by PET publication-title: Alzheimers Dement – volume: 12 start-page: 295 year: 1991 end-page: 312 article-title: The distribution of tangles, plaques and related immunohistochemical markers in healthy aging and Alzheimer's disease publication-title: Neurobiol Aging – year: 2019 – start-page: 770 end-page: 778 – volume: 24 start-page: 39 year: 2020 end-page: 49 article-title: Deep residual inception encoder‐decoder network for medical imaging synthesis publication-title: IEEE J Biomed Health Inform – volume: 2 start-page: 975 year: 2012 end-page: 984 article-title: Developing an international network for Alzheimer research: the Dominantly Inherited Alzheimer Network publication-title: Clin Investig (Lond) – ident: e_1_2_7_10_1 doi: 10.1016/s1474‐4422(12)70227‐2 – ident: e_1_2_7_31_1 doi: 10.1016/j.jalz.2014.07.003 – ident: e_1_2_7_7_1 doi: 10.1016/j.jalz.2015.05.001 – ident: e_1_2_7_28_1 doi: 10.1001/archneurol.2011.150 – ident: e_1_2_7_46_1 doi: 10.1145/3422622 – ident: e_1_2_7_2_1 doi: 10.1016/j.cell.2019.09.001 – ident: e_1_2_7_40_1 doi: 10.1016/j.neuroimage.2014.11.058 – ident: e_1_2_7_27_1 doi: 10.2967/jnumed.112.109009 – ident: e_1_2_7_21_1 doi: 10.2967/jnumed.109.069088 – ident: e_1_2_7_11_1 doi: 10.1056/NEJMoa1202753 – ident: e_1_2_7_4_1 doi: 10.1007/BF00308809 – ident: e_1_2_7_41_1 doi: 10.1016/j.nicl.2018.04.022 – ident: e_1_2_7_20_1 doi: 10.1016/j.acra.2008.07.006 – ident: e_1_2_7_22_1 doi: 10.1016/s1474‐4422(11)70077‐1 – ident: e_1_2_7_38_1 doi: 10.1101/2019.12.13.19014902 – ident: e_1_2_7_43_1 doi: 10.1109/CVPR.2016.90 – ident: e_1_2_7_48_1 doi: 10.1016/j.compmedimag.2019.101684 – ident: e_1_2_7_37_1 doi: 10.1109/JBHI.2019.2912659 – ident: e_1_2_7_45_1 doi: 10.1016/j.neuroimage.2009.01.057 – ident: e_1_2_7_13_1 doi: 10.1016/j.jalz.2018.02.018 – ident: e_1_2_7_39_1 doi: 10.1371/journal.pone.0073377 – ident: e_1_2_7_24_1 doi: 10.2967/jnumed.111.094029 – ident: e_1_2_7_36_1 doi: 10.1148/radiol.2017170700 – ident: e_1_2_7_3_1 doi: 10.1016/0197-4580(91)90006-6 – ident: e_1_2_7_14_1 doi: 10.1002/alz.12109 – ident: e_1_2_7_44_1 – ident: e_1_2_7_35_1 doi: 10.1038/nature14539 – ident: e_1_2_7_42_1 doi: 10.1007/978-3-319-24574-4_28 – ident: e_1_2_7_26_1 doi: 10.1016/j.dadm.2018.12.008 – ident: e_1_2_7_6_1 doi: 10.3233/JAD-122059 – ident: e_1_2_7_15_1 doi: 10.1016/j.trci.2019.02.005 – ident: e_1_2_7_17_1 doi: 10.1126/scitranslmed.3007941 – ident: e_1_2_7_30_1 doi: 10.1016/j.jalz.2019.02.005 – ident: e_1_2_7_8_1 doi: 10.4155/cli.12.93 – ident: e_1_2_7_9_1 doi: 10.1002/ana.22248 – ident: e_1_2_7_19_1 doi: 10.1212/01.wnl.0000228230.26044.a4 – ident: e_1_2_7_25_1 doi: 10.1016/j.jalz.2018.06.1353 – ident: e_1_2_7_12_1 doi: 10.1001/jama.2015.4668 – ident: e_1_2_7_16_1 doi: 10.1016/j.neurol.2013.07.017 – ident: e_1_2_7_29_1 doi: 10.1186/s13195-020-00587-5 – ident: e_1_2_7_5_1 doi: 10.1021/jm030026b – ident: e_1_2_7_23_1 doi: 10.2967/jnumed.109.063305 – volume: 17 start-page: 305 year: 2014 ident: e_1_2_7_34_1 article-title: Deep learning based imaging data completion for improved brain disease diagnosis publication-title: Med Image Comput Comput Assist Interv – volume-title: Novel Deep Learning Models for Medical Imaging Analysis year: 2019 ident: e_1_2_7_33_1 – ident: e_1_2_7_32_1 doi: 10.1038/s41598-018-37769-z – ident: e_1_2_7_18_1 doi: 10.1002/ana.20009 – ident: e_1_2_7_47_1 doi: 10.1109/ICCV.2017.244 |
| SSID | ssj0040815 |
| Score | 2.4169033 |
| Snippet | Introduction
Multiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation... Multiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and... |
| SourceID | unpaywall pubmedcentral proquest pubmed crossref wiley |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 2448 |
| SubjectTerms | Alzheimer Disease - diagnostic imaging Alzheimer's disease Amyloid - metabolism amyloid PET Amyloidogenic Proteins Aniline Compounds Brain - diagnostic imaging Brain - metabolism Centiloid Humans Positron-Emission Tomography - methods Radiopharmaceuticals |
| SummonAdditionalLinks | – databaseName: Wiley Online Library Open Access dbid: 24P link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3JTsMwELWgHOCCQGxlk1kOXEIjx0ljcaqgVYVYeigS4hKNl4hKJa2gFYITn8A38iWMnSaoYhE3y55E0YzteePMPBNyyED7HM3p6VBhgCJF4Ek_5p6UTGAPgwjsgf7lVdS-4ee34e0MOSlqYXJ-iPLAza4Mt1_bBQ7yqfZFGgr912P0zhGfJXO2INTe28B4p9iGOfq60JGlhjbaivyCVshntfLRaWf0DWF-T5ScH2dDeHmGfn8azDpv1FoiixMYSRu53ZfJjMlWyPWZMUOK8bMrsKK9bJKyQi1ZpTaPH2_v2rgWzfLsb4qQlcIDBu09TTvNLrVE1oOiNnOVdFvN7mnbm1yY4Cn0w9wDI1gaxzLwY6Wj0IBlU5NMK6grDHtSAUwZJTRTaaBklIKKORcIaNI45Ni3RirZIDMbhIYxwgAEc0KbgENaB-nLGEwqo0DhmKySo0JxiZqQids7LfpJToPMEtRx4nRcJful6DBn0PhJaK_QfoLz2_60gMwMxk8Js5cD1RFkosx6bo3yNbYKgeEuUiX1KTuVApY7e3ok6907Dm0RYCQqRJUclBb96-uOnK1_l0gaF3eusfl_0S2ywGwthcuN2SaV0ePY7CDCGcldN5M_AWtI-hU priority: 102 providerName: Wiley-Blackwell |
| Title | Deep residual inception encoder‐decoder network for amyloid PET harmonization |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Falz.12564 https://www.ncbi.nlm.nih.gov/pubmed/35142053 https://www.proquest.com/docview/2627473264 https://pubmed.ncbi.nlm.nih.gov/PMC9360199 https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.12564 |
| UnpaywallVersion | publishedVersion |
| Volume | 18 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Baden-Württemberg Complete Freedom Collection (Elsevier) customDbUrl: eissn: 1552-5279 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0040815 issn: 1552-5279 databaseCode: GBLVA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection customDbUrl: eissn: 1552-5279 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0040815 issn: 1552-5279 databaseCode: .~1 dateStart: 20050701 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVLSH databaseName: Elsevier Journals customDbUrl: mediaType: online eissn: 1552-5279 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0040815 issn: 1552-5279 databaseCode: AKRWK dateStart: 20170701 isFulltext: true providerName: Library Specific Holdings – providerCode: PRVOVD databaseName: Journals@Ovid LWW All Open Access Journal Collection Rolling customDbUrl: eissn: 1552-5279 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0040815 issn: 1552-5279 databaseCode: OVEED dateStart: 20150101 isFulltext: true titleUrlDefault: http://ovidsp.ovid.com/ providerName: Ovid |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LTxsxEB6V5NBeWirakhYiF3rgsmnk9T58jCAIoRZyCIj2svVrRcR2E9FEFZz6E_iN_BLG9u6KQFtV6s2yZ621x49v7JnPAB-o0H2G6gx0pNBAkTwMZD9lgZSUYw4VsbAH-p-P4oMTdngWnVXvnNpYGM8P0Ry42Znh1ms7wWc69-t8dbtPP4riuoc7dMxWoB1HaD63oH1yNBp8cSypkTWzfJywTye85ha6_-3yjvQIZj72lny6KGfi6qcoimVE67ak_RfwrW6M90S56C3msqeuH_A8_kdrV-F5BVfJwI-vl_DElGtwvGfMjKCd7gK5yKSsXGOIJcXU5vL21402LkVK72VOEBoT8f2qmE40GQ3HxBJmT-sY0Fcw3h-Odw-C6mGGQOF-zwJhOM3TVIb9VOk4MsKytkmqlUgUmlc5F1QZxTVVeahknAuVMsYROOVpxDDvNbTKaWnWgUQpwg0EjVybkIk8EbIvU2FyGYcKy2QHdmrdZKoiLbdvZxSZp1umGXZK5jqlA1uN6MwzdfxO6H2t4Aznkb0cEaWZLn5k1D5ClCCYRZk3XuFNNTbageJq1YFkaSg0Apaje7mknJw7rm4eosXLeQe2m0Hzt7_bcWPgzxLZ4NNXl3j7TxW-g2fUhms495sNaM0vF2YTQdRcdmGFslEX2senw-Fet5o2d02pISk |
| linkProvider | Unpaywall |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3JTsMwEB2xHOCCQGxlNcuBSyBynDSWuFRQVKAshyIhLpG3iEolrQoVghOfwDfyJYydJqhiETfLnkTRjO1548w8A-xSoX2G5vR0qDBAkTzwpB8zT0rKsYeKSNgD_YvLqHHDzm7D2zE4LGphcn6I8sDNrgy3X9sFbg-kD75YQ0XndR_dc8TGYZLZYNzyOrPrYh9m6OxCx5Ya2nAr8gteIZ8elI-OeqNvEPN7puTUIOuJl2fR6YyiWeeOTmZhZogjSS03_ByMmWwero6N6REMoF2FFWlnw5wVYtkqtel_vL1r41oky9O_CWJWIh4wam9rcl1vEctk3S2KMxegdVJvHTW84Y0JnkJHzDxhOE3jWAZ-rHQUGmHp1CTVSlQVxj0pF1QZxTVVaaBklAoVM8YR0aRxyLBvESaybmaWgYQx4gBEc1ybgIm0KqQvY2FSGQUKx2QF9grFJWrIJm4vtegkOQ8yTVDHidNxBbZL0V5OofGT0Fah_QQnuP1rITLTHTwm1N4OVEWUiTJLuTXK19gyBIrbSAWqI3YqBSx59uhI1r53JNo8wFCU8wrslBb96-v2nK1_l0hqzTvXWPm_6CZMNVoXzaR5enm-CtPUFla4RJk1mHjqD8w6wp0nueFm9ScIMv2N |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1ZS8QwEB48QH0RxWs94_HgS7Wk6RF8EnXxdh9WEF9KruLC2l3URfTJn-Bv9Jc4SbeVxQPfQjItZSbJfJPOfAHYokL7DM3p6VBhgCJ54Ek_YZ6UlGMPFZGwB_oXl9HxNTu9CW-GYK-shSn4IaoDN7sy3H5tF3hXZ7tfpKGi_bqD3jliwzDKwji29zZQ1ii3YYa-LnRkqaGNtiK_pBXy6W716KAz-oYwvydKjvfyrnh5Fu32IJh13qg-BZN9GEn2C7tPw5DJZ-Dq0JguwfjZFViRVt5PWSGWrFKbh4-3d21ci-RF9jdByErEPQbtLU0aR01iiaw7ZW3mLDTrR82DY69_YYKn0A8zTxhOsySRgZ8oHYVGWDY1SbUSscKwJ-OCKqO4pioLlIwyoRLGOAKaLAkZ9s3BSN7JzQKQMEEYgGCOaxMwkcVC-jIRJpNRoHBM1mC7VFyq-mTi9k6LdlrQINMUdZw6HddgoxLtFgwaPwmtl9pPcX7bnxYiN53eY0rt5UAxgkyUmS-sUb3GViFQ3EVqEA_YqRKw3NmDI3nrznFo8wAjUc5rsFlZ9K-v23a2_l0i3T-_dY3F_4uuwVjjsJ6en1yeLcEEtWUVLk1mGUaeHnpmBcHOk1x1k_oTfCz8tg |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LTxsxEB6VcCgXHqKUlBaZx4HLppHX-_AxakEIFcohSMBl8WtFxLKJQqIKTv0J_Y39JR3buyvCo6rUm2XPWmuPH9_YM58BdqnQXYbqDHSk0ECRPAxkN2WBlJRjDhWxsAf6xyfx4Rk7Oo_Oq3dObSyM54doDtzszHDrtZ3gI537db663aefRfHQwR06ZnMwH0doPrdg_uzktHfhWFIja2b5OGGfTnjNLfT429kd6RnMfO4t-XZajsT9D1EUs4jWbUkHS3BVN8Z7otx0phPZUQ9PeB7_o7XLsFjBVdLz42sF3phyFb5_NWZE0E53gVxkUFauMcSSYmoz_v3zlzYuRUrvZU4QGhNxe18MB5qc7veJJcwe1jGg76B_sN__chhUDzMECvd7FgjDaZ6mMuymSseREZa1TVKtRKLQvMq5oMoorqnKQyXjXKiUMY7AKU8jhnlr0CqHpVkHEqUINxA0cm1CJvJEyK5MhcllHCosk23Yq3WTqYq03L6dUWSebplm2CmZ65Q2bDeiI8_U8ZLQVq3gDOeRvRwRpRlO7zJqHyFKEMyizHuv8KYaG-1AcbVqQzIzFBoBy9E9W1IOrh1XNw_R4uW8DTvNoPnb3-25MfC6RNb7dukSH_6pwg1YoDZcw7nffITWZDw1nxBETeRmNVH-AJUnHrw |
| 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=Deep+residual+inception+encoder-decoder+network+for+amyloid+PET+harmonization&rft.jtitle=Alzheimer%27s+%26+dementia&rft.au=Shah%2C+Jay&rft.au=Gao%2C+Fei&rft.au=Li%2C+Baoxin&rft.au=Ghisays%2C+Valentina&rft.date=2022-12-01&rft.issn=1552-5279&rft.eissn=1552-5279&rft.volume=18&rft.issue=12&rft.spage=2448&rft_id=info:doi/10.1002%2Falz.12564&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1552-5260&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1552-5260&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1552-5260&client=summon |