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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271708/ https://www.ncbi.nlm.nih.gov/pubmed/34210796 http://dx.doi.org/10.1073/pnas.2019339118 |
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author | Rothberg, Jonathan M. Ralston, Tyler S. Rothberg, Alex G. Martin, John Zahorian, Jaime S. Alie, Susan A. Sanchez, Nevada J. Chen, Kailiang Chen, Chao Thiele, Karl Grosjean, David Yang, Jungwook Bao, Liewei Schneider, Rob Schaetz, Sebastian Meyer, Christophe Neben, Abraham Ryan, Bob Petrus, J. R. Lutsky, Joe McMahill, Dan Corteville, Gregory Hageman, Matthew R. Miller, Larry Fife, Keith G. |
author_facet | Rothberg, Jonathan M. Ralston, Tyler S. Rothberg, Alex G. Martin, John Zahorian, Jaime S. Alie, Susan A. Sanchez, Nevada J. Chen, Kailiang Chen, Chao Thiele, Karl Grosjean, David Yang, Jungwook Bao, Liewei Schneider, Rob Schaetz, Sebastian Meyer, Christophe Neben, Abraham Ryan, Bob Petrus, J. R. Lutsky, Joe McMahill, Dan Corteville, Gregory Hageman, Matthew R. Miller, Larry Fife, Keith G. |
author_sort | Rothberg, Jonathan M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8271708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-82717082021-07-16 Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence Rothberg, Jonathan M. Ralston, Tyler S. Rothberg, Alex G. Martin, John Zahorian, Jaime S. Alie, Susan A. Sanchez, Nevada J. Chen, Kailiang Chen, Chao Thiele, Karl Grosjean, David Yang, Jungwook Bao, Liewei Schneider, Rob Schaetz, Sebastian Meyer, Christophe Neben, Abraham Ryan, Bob Petrus, J. R. Lutsky, Joe McMahill, Dan Corteville, Gregory Hageman, Matthew R. Miller, Larry Fife, Keith G. Proc Natl Acad Sci U S A Physical Sciences 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. National Academy of Sciences 2021-07-06 2021-07-01 /pmc/articles/PMC8271708/ /pubmed/34210796 http://dx.doi.org/10.1073/pnas.2019339118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Physical Sciences Rothberg, Jonathan M. Ralston, Tyler S. Rothberg, Alex G. Martin, John Zahorian, Jaime S. Alie, Susan A. Sanchez, Nevada J. Chen, Kailiang Chen, Chao Thiele, Karl Grosjean, David Yang, Jungwook Bao, Liewei Schneider, Rob Schaetz, Sebastian Meyer, Christophe Neben, Abraham Ryan, Bob Petrus, J. R. Lutsky, Joe McMahill, Dan Corteville, Gregory Hageman, Matthew R. Miller, Larry Fife, Keith G. Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence |
title | Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence |
title_full | Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence |
title_fullStr | Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence |
title_full_unstemmed | Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence |
title_short | Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence |
title_sort | ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271708/ https://www.ncbi.nlm.nih.gov/pubmed/34210796 http://dx.doi.org/10.1073/pnas.2019339118 |
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