Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence
Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its bro...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 118; no. 27; pp. 1 - 9 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Washington
National Academy of Sciences
06.07.2021
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Subjects | |
Online Access | Get full text |
ISSN | 0027-8424 1091-6490 1091-6490 |
DOI | 10.1073/pnas.2019339118 |
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Abstract | Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal–oxide–semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described—augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health. |
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AbstractList | Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal–oxide–semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described—augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health. Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound's proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal-oxide-semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described-augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health.Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound's proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal-oxide-semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described-augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health. Affordable hand-held ultrasound is transforming health care as a diagnostic tool with the potential to be as ubiquitous as the stethoscope. Here, we present a platform for advancing diagnostic care consisting of an ultrasound-on-chip probe, leveraging state-of-the-art silicon-based semiconductor foundries, paired with a mobile device and artificial-intelligence–guided image interpretation and cloud interconnectivity. Demonstrations across key organs and modes illustrate the imaging capabilities. Presentations of automated guidance for untrained ultrasound users show the potential for further broadening accessibility and utility. Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal–oxide–semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described—augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health. Affordable hand-held ultrasound is transforming health care as a diagnostic tool with the potential to be as ubiquitous as the stethoscope. Here, we present a platform for advancing diagnostic care consisting of an ultrasound-on-chip probe, leveraging state-of-the-art silicon-based semiconductor foundries, paired with a mobile device and artificial-intelligence–guided image interpretation and cloud interconnectivity. Demonstrations across key organs and modes illustrate the imaging capabilities. Presentations of automated guidance for untrained ultrasound users show the potential for further broadening accessibility and utility. Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and Drug Administration for 13 indications, comprising a two-dimensional array of silicon-based microelectromechanical systems (MEMS) ultrasonic sensors directly integrated into complementary metal–oxide–semiconductor-based control and processing electronics to enable an inexpensive whole-body imaging probe. The fabrication and design of the transducer array with on-chip analog and digital circuits, having an operating power consumption of 3 W or less, are described, in which approximately 9,000 seven-level feedback-based pulsers are individually addressable to each MEMS element and more than 11,000 amplifiers, more than 1,100 analog-to-digital converters, and more than 1 trillion operations per second are implemented. We quantify the measured performance and the ability to image areas of the body that traditionally takes three separate probes. Additionally, two applications of this platform are described—augmented reality assistance that guides the user in the acquisition of diagnostic-quality images of the heart and algorithms that automate the measurement of cardiac ejection fraction, an indicator of heart health. |
Author | Neben, Abraham Yang, Jungwook Meyer, Christophe Ralston, Tyler S. Schneider, Rob Grosjean, David Lutsky, Joe Rothberg, Jonathan M. Zahorian, Jaime S. Ryan, Bob Miller, Larry Rothberg, Alex G. Schaetz, Sebastian Bao, Liewei Chen, Chao Hageman, Matthew R. Chen, Kailiang Fife, Keith G. Martin, John Corteville, Gregory Thiele, Karl Sanchez, Nevada J. Petrus, J. R. Alie, Susan A. McMahill, Dan |
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Cites_doi | 10.1016/j.jacr.2010.01.018 10.1109/CVPR.2015.7298664 10.1016/j.echo.2005.10.005 10.1109/ISSCC.2013.6487786 10.1016/j.mejo.2005.10.012 10.1007/978-3-319-24574-4_28 10.1109/JSSC.2007.892169 10.1109/IEMBS.2010.5627580 10.1109/ISSCC.2018.8310246 10.1109/ISSCC.2017.7870459 10.1186/2110-5820-4-1 10.1001/jamacardio.2018.0001 10.1109/ULTSYM.2002.1192473 10.1109/JSSC.2017.2749425 10.1109/TUFFC.2005.1563260 10.1007/978-3-030-37558-4_26 10.1109/JSSC.2013.2274895 10.1007/978-3-319-67558-9_30 10.1109/JMEMS.2010.2093567 10.1109/ULTSYM.2013.0442 10.1109/CVPR.2016.90 10.1016/j.jacr.2014.09.022 10.1109/JSSC.2010.2042254 10.1109/ULTSYM.2004.1417715 10.1117/12.148585 10.1109/ISSCC.2019.8662531 10.1109/ULTSYM.2014.0143 |
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Copyright | Copyright National Academy of Sciences Jul 6, 2021 Copyright © 2021 the Author(s). Published by PNAS. Copyright © 2021 the Author(s). Published by PNAS. 2021 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Author contributions: J.M.R., T.S.R., A.G.R., J.M., J.S.Z., S.A.A., N.J.S., K.C., C.C., K.T., D.G., J.Y., L.B., R.S., S.S., C.M., A.N., B.R., J.R.P., J.L., D.M., G.C., M.R.H., L.M., and K.G.F. designed research; J.M.R., T.S.R., A.G.R., J.M., J.S.Z., S.A.A., N.J.S., K.C., C.C., K.T., D.G., J.Y., L.B., R.S., S.S., C.M., A.N., B.R., J.R.P., J.L., D.M., G.C., M.R.H., L.M., and K.G.F. performed research; J.M.R., T.S.R., A.G.R., J.M., J.S.Z., S.A.A., N.J.S., K.C., C.C., K.T., D.G., J.Y., L.B., R.S., S.S., C.M., A.N., B.R., J.R.P., J.L., D.M., G.C., M.R.H., L.M., and K.G.F. analyzed data; and J.M.R., T.S.R., A.G.R., J.M., J.S.Z., S.A.A., N.J.S., K.C., C.C., K.T., D.G., J.Y., L.B., R.S., S.S., C.M., A.N., B.R., J.R.P., J.L., D.M., G.C., M.R.H., L.M., and K.G.F. wrote the paper. Edited by John A. Rogers, Northwestern University, Evanston, IL, and approved May 21, 2021 (received for review September 18, 2020) |
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References | e_1_3_4_9_2 e_1_3_4_7_2 e_1_3_4_40_2 Laënnec R. T. H. (e_1_3_4_3_2) 1819 e_1_3_4_5_2 e_1_3_4_23_2 e_1_3_4_21_2 e_1_3_4_42_2 e_1_3_4_27_2 e_1_3_4_48_2 e_1_3_4_25_2 e_1_3_4_29_2 e_1_3_4_30_2 e_1_3_4_11_2 e_1_3_4_34_2 e_1_3_4_32_2 e_1_3_4_15_2 e_1_3_4_38_2 e_1_3_4_13_2 e_1_3_4_36_2 Sofka M. (e_1_3_4_51_2) 2017 e_1_3_4_19_2 e_1_3_4_17_2 Lang R. M. (e_1_3_4_53_2) 2005; 18 e_1_3_4_2_2 e_1_3_4_8_2 e_1_3_4_41_2 e_1_3_4_4_2 Kollmann C. (e_1_3_4_46_2) 2011 e_1_3_4_22_2 e_1_3_4_45_2 e_1_3_4_20_2 e_1_3_4_43_2 Szabo T. L. (e_1_3_4_6_2) 2013 e_1_3_4_26_2 e_1_3_4_49_2 e_1_3_4_24_2 e_1_3_4_47_2 Tole N. M. (e_1_3_4_44_2) 2005 e_1_3_4_28_2 e_1_3_4_50_2 e_1_3_4_12_2 e_1_3_4_33_2 e_1_3_4_10_2 e_1_3_4_31_2 e_1_3_4_16_2 e_1_3_4_37_2 e_1_3_4_14_2 e_1_3_4_35_2 Fossum E. R. (e_1_3_4_52_2) 1993 e_1_3_4_18_2 e_1_3_4_39_2 Rumack C. M. (e_1_3_4_1_2) 2011 |
References_xml | – ident: e_1_3_4_4_2 doi: 10.1016/j.jacr.2010.01.018 – ident: e_1_3_4_12_2 – ident: e_1_3_4_50_2 doi: 10.1109/CVPR.2015.7298664 – ident: e_1_3_4_42_2 – volume: 18 start-page: 1440 year: 2005 ident: e_1_3_4_53_2 article-title: Recommendations for chamber quantification: A report from the American Society of Echocardiography’s Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology publication-title: J. Am. Soc. Echocardiogr. doi: 10.1016/j.echo.2005.10.005 – ident: e_1_3_4_34_2 – ident: e_1_3_4_15_2 doi: 10.1109/ISSCC.2013.6487786 – volume-title: Diagnostic Ultrasound year: 2011 ident: e_1_3_4_1_2 – volume-title: De l’auscultation médiate ou Traité du Diagnostic des Maladies des Poumon et du Coeur year: 1819 ident: e_1_3_4_3_2 – ident: e_1_3_4_41_2 – ident: e_1_3_4_33_2 – ident: e_1_3_4_11_2 doi: 10.1016/j.mejo.2005.10.012 – ident: e_1_3_4_36_2 – ident: e_1_3_4_49_2 doi: 10.1007/978-3-319-24574-4_28 – ident: e_1_3_4_38_2 doi: 10.1109/JSSC.2007.892169 – ident: e_1_3_4_13_2 doi: 10.1109/IEMBS.2010.5627580 – ident: e_1_3_4_18_2 doi: 10.1109/ISSCC.2018.8310246 – ident: e_1_3_4_17_2 doi: 10.1109/ISSCC.2017.7870459 – ident: e_1_3_4_47_2 doi: 10.1186/2110-5820-4-1 – ident: e_1_3_4_2_2 doi: 10.1001/jamacardio.2018.0001 – ident: e_1_3_4_29_2 – ident: e_1_3_4_23_2 – ident: e_1_3_4_37_2 – ident: e_1_3_4_7_2 doi: 10.1109/ULTSYM.2002.1192473 – ident: e_1_3_4_31_2 – volume-title: Diagnostic Ultrasound Imaging: Inside Out year: 2013 ident: e_1_3_4_6_2 – ident: e_1_3_4_16_2 doi: 10.1109/JSSC.2017.2749425 – ident: e_1_3_4_26_2 doi: 10.1109/TUFFC.2005.1563260 – volume-title: EFSUMB Course Book year: 2011 ident: e_1_3_4_46_2 – ident: e_1_3_4_28_2 – ident: e_1_3_4_20_2 doi: 10.1007/978-3-030-37558-4_26 – ident: e_1_3_4_45_2 – ident: e_1_3_4_14_2 doi: 10.1109/JSSC.2013.2274895 – start-page: 258 volume-title: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support year: 2017 ident: e_1_3_4_51_2 doi: 10.1007/978-3-319-67558-9_30 – ident: e_1_3_4_9_2 doi: 10.1109/JMEMS.2010.2093567 – ident: e_1_3_4_22_2 – ident: e_1_3_4_30_2 – ident: e_1_3_4_8_2 doi: 10.1109/ULTSYM.2013.0442 – ident: e_1_3_4_48_2 doi: 10.1109/CVPR.2016.90 – ident: e_1_3_4_5_2 doi: 10.1016/j.jacr.2014.09.022 – ident: e_1_3_4_10_2 – ident: e_1_3_4_35_2 – ident: e_1_3_4_39_2 doi: 10.1109/JSSC.2010.2042254 – ident: e_1_3_4_25_2 doi: 10.1109/ULTSYM.2004.1417715 – start-page: 2 volume-title: Charge-Coupled Devices and Solid State Optical Sensors III year: 1993 ident: e_1_3_4_52_2 doi: 10.1117/12.148585 – ident: e_1_3_4_19_2 doi: 10.1109/ISSCC.2019.8662531 – ident: e_1_3_4_21_2 doi: 10.1109/ULTSYM.2014.0143 – ident: e_1_3_4_24_2 – ident: e_1_3_4_32_2 – ident: e_1_3_4_40_2 – ident: e_1_3_4_43_2 – volume-title: Basic Physics of Ultrasonographic Imaging year: 2005 ident: e_1_3_4_44_2 – ident: e_1_3_4_27_2 |
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Snippet | Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life.... Affordable hand-held ultrasound is transforming health care as a diagnostic tool with the potential to be as ubiquitous as the stethoscope. Here, we present a... |
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SubjectTerms | Algorithms Analog circuits Analog to digital conversion Analog to digital converters Augmented reality Biological Sciences Circuit design Digital electronics Fabrication Global health Image acquisition Image quality Intelligence Intelligence (information) Medical imaging Metal oxide semiconductors Microelectromechanical systems Physical Sciences Power consumption Public health Pulse generators Semiconductors Sensor arrays Technology assessment Ultrasonic imaging Ultrasound |
Title | Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence |
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