Whole Cross-Sectional Human Ultrasound Tomography
David C. Garrett, Jinhua Xu, Yousuf Aborahama, Geng Ku, Konstantin, Maslov, and Lihong V. Wang

TL;DR
This paper introduces a novel ultrasound tomography system capable of imaging the entire cross-section of the human body in vivo, providing uniform resolution and enabling new clinical applications like adipose tissue assessment and real-time biopsy guidance.
Contribution
The paper presents a new system for whole cross-sectional human ultrasound tomography using a circular array and rotation, addressing limitations of traditional handheld ultrasound.
Findings
Successful imaging of entire human cross-sections in vivo.
Ability to assess adipose tissue distribution without radiation.
Real-time biopsy needle localization at 30 fps.
Abstract
Ultrasonography is a vital component of modern clinical care, with handheld probes routinely used for diagnostic imaging and procedural guidance. However, handheld ultrasound imaging is limited by factors such as the partial-cross-sectional field of view, operator dependency, contact-induced distortion, and lack of transmission contrast. Here, we demonstrate a new system enabling whole cross-sectional ultrasound tomography of humans in reflection and transmission modes. We generate 2D images of the entire in vivo human cross-section with uniform in-plane resolution using a custom 512-element circular ultrasound receiver array and a rotating ultrasonic transmitter. We demonstrate this technique in regions such as the abdomen and legs in healthy volunteers. To address unmet clinical needs, we explore two key applications. First, we readily observe abdominal adipose distributions in our…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUltrasound in Clinical Applications · Radiation Dose and Imaging · Lung Cancer Diagnosis and Treatment
