Jaeger, Michael; Stähli, Patrick; Korta Martiartu, Naiara; Salemi Yolgunlu, Parisa; Frappart, Thomas; Fraschini, Christophe; Frenz, Martin (2022). Pulse-echo speed-of-sound imaging using convex probes. Physics in medicine and biology, 67(21) Institute of Physics Publishing IOP 10.1088/1361-6560/ac96c6
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Jaeger_et_al_2022_Phys._Med._Biol._10.1088_1361-6560_ac96c6.pdf - Accepted Version Available under License Creative Commons: Attribution (CC-BY). Download (1MB) | Preview |
Computed ultrasound tomography in echo mode (CUTE) is a new ultrasound (US)-based medical imaging modality with promise for diagnosing various types of disease based on the tissue's speed of sound (SoS). It is developed for conventional pulse-echo US using handheld probes and can thus be implemented in state-of-the-art medical US systems. One promising application is the quantification of the liver fat fraction in fatty liver disease. So far, CUTE was using linear array probes where the imaging depth is comparable to the aperture size. For liver imaging, however, convex probes are preferred since they provide a larger penetration depth and a wider view angle allowing to capture a large area of the liver. With the goal of liver imaging in mind, we adapt CUTE to convex probes, with a special focus on discussing strategies that make use of the convex geometry in order to make our implementation computationally efficient. We then demonstrate in an abdominal imaging phantom that accurate quantitative SoS using convex probes is feasible, in spite of the smaller aperture size in relation to the image area compared to linear arrays. A preliminary in vivo result of liver imaging confirms this outcome, but also indicates that deep quantitative imaging in the real liver can be more challenging, probably due to the increased complexity of the tissue compared to phantoms.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Institute of Applied Physics |
UniBE Contributor: |
Jaeger, Michael, Stähli, Patrick, Korta Martiartu, Naiara, Salemi Yolgunlu, Parisa, Frenz, Martin |
Subjects: |
600 Technology > 620 Engineering |
ISSN: |
0031-9155 |
Publisher: |
Institute of Physics Publishing IOP |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
03 Oct 2022 12:54 |
Last Modified: |
05 Dec 2022 16:25 |
Publisher DOI: |
10.1088/1361-6560/ac96c6 |
PubMed ID: |
36179699 |
Uncontrolled Keywords: |
diagnostic ultrasound liver imaging liver steatosis multiparametric ultrasound sound velocity imaging ultrasound tomography |
BORIS DOI: |
10.48350/173413 |
URI: |
https://boris.unibe.ch/id/eprint/173413 |