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Updated: Mar 23, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
Published on: August 23, 2017
Comparison of three dimensional strain volume reconstructions using SOUPR and wobbler based acquisitions: A phantom
Wenjun Yang1, Atul Ingle2, Tomy Varghese3
1Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705.
A new algorithm, sheaf of ultrasound planes reconstruction (SOUPR), improves 3D ultrasound strain imaging for liver tumor ablation monitoring. SOUPR offers superior accuracy and image quality compared to conventional methods.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Ultrasound Technology
Background:
- Ultrasound strain imaging is a cost-effective, portable method for monitoring thermal ablation of liver neoplasms.
- Accurate 3D visualization of thermal dose distribution requires 3D strain volume reconstruction from 2D ultrasound images.
Purpose of the Study:
- To validate a novel volume reconstruction algorithm, sheaf of ultrasound planes reconstruction (SOUPR), for 3D ultrasound strain imaging.
- To compare SOUPR's performance against conventional 3D ultrasound strain imaging using tissue-mimicking phantoms.
Main Methods:
- SOUPR was formulated as an optimization problem, ensuring data consistency and smoothness.
- Reconstructed dimensions, volume, and image quality (SNRe, CNRe) were compared between SOUPR and a conventional wobbler transducer method.
- Qualitative assessment was performed on ex vivo bovine liver tissue.
Main Results:
- SOUPR demonstrated significantly higher elastographic signal to noise ratio (SNRe) and contrast to noise ratio (CNRe) compared to the wobbler method.
- SOUPR achieved lower mean errors in reconstructed inclusion dimensions across all axes (X, Y, Z).
- Volume estimates were comparable between SOUPR and the wobbler transducer.
Conclusions:
- SOUPR provides superior 3D reconstruction of thermal ablation zones compared to conventional wobbler transducer methods.
- The SOUPR algorithm enhances inclusion shape preservation and detectability in ultrasound strain imaging.
- Experimental validation confirms SOUPR's effectiveness for monitoring liver neoplasms ablation.
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