Conference proceeding
An efficient 3D MRI-U/S-MR thermometry workflow for therapy guidance in liver cancer
Vol.13408, pp.134081J-134081J-5
Progress in Biomedical Optics and Imaging
04/07/2025
DOI: 10.1117/12.3047041
Abstract
Liver cancer is the third leading cause of cancer- related deaths worldwide furthering the demand for focal liver treatments. Accurate and precise tumor targeting as well as temperature monitoring during ablation is a prerequisite to improving treatment outcomes. CT is the most widely used image guidance modality but lacks real-time capabilities for efficient needle placement. Ultrasound (U/S) provides several advantages for targeting due to its real-time capabilities, but it is compromised on tumor conspicuity compared to MRI or CT. Aligning the two modalities would allow reap the benefits of both. However, deformable alignment of pre-interventional (pre-) pre-MRI with interventional U/S frames in near realtime, to compensate for breathing motion, is non-existent in current clinical workflows for liver ablation. In this paper, we present a computational and procedural workflow that can i) stream 3D interventional U/S frames, ii) deformably align 3D pre-MRI with interventional U/S, display deformed MRI and corresponding MRI landmarks (tumor targets) in near real-time (~0.7 secs / volume pair of MRI-U/S) for tumor targeting, and iii) display reference-less MR thermometry images for temperature monitoring during ablation. The U/S streaming in real-time involves a custom server application based on GE HealthCare’s AppAPI for U/S systems, a hybrid deep learning-based deformable registration was used, the visualization involves use of OpenIGTLink and 3D Slicer and MR thermometry was demonstrated on animal tissue using the MRT app. This workflow is significantly more efficient than current clinical workflows for placing an ablation applicator on tumor targets and monitoring ablation zones, which is in contrast to a typical clinical workflow that involves multiple CT scans to confirm needle placements after each attempt at tumor targeting using U/S guidance. Aside from improved accuracy and precision of tumor targeting, our proposed workflow is also expected to reduce procedure time and personnel for liver ablation procedures.
Details
- Title: Subtitle
- An efficient 3D MRI-U/S-MR thermometry workflow for therapy guidance in liver cancer
- Creators
- Jhimli Mitra - GE HealthcareChitresh Bhushan - GE HealthcareAfis Ajala - GE HealthCare (United States)Heather Chan - GE HealthcareDavid Mills - GE HealthcareRobert Darrow - GE HealthCare (United States)Jayant Sakhardande - The Univ. of Iowa (United States)Sherry S. Huang - GE HealthCare (United States)James H. Holmes - University of IowaShane A. Wells - Univ. of Michigan (United States)Desmond Teck Beng Yeo - GE HealthCare (United States)
- Contributors
- Maryam E. Rettmann (Editor) - Mayo ClinicJeffrey H. Siewerdsen (Editor) - The Univ. of Texas MD Anderson Cancer Ctr. (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Vol.13408, pp.134081J-134081J-5
- Series
- Progress in Biomedical Optics and Imaging
- DOI
- 10.1117/12.3047041
- ISSN
- 1605-7422
- Publisher
- SPIE
- Grant note
- NIH/NCI: 1R01CA266879
This research was supported by the NIH/NCI grant 1R01CA266879.
- Language
- English
- Date published
- 04/07/2025
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering
- Record Identifier
- 9984820563302771
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