Presentation + Paper
8 March 2019 Mechanically assisted 3D ultrasound with geometrically variable imaging for minimally invasive focal liver tumor therapy
Derek J. Gillies, Jeffrey Bax, Kevin Barker, Lori Gardi, David Tessier, Nirmal Kakani, Aaron Fenster
Author Affiliations +
Abstract
Liver cancer is the second and sixth most frequent cause of cancer mortality worldwide in men and women, respectively, with high prevalence in under developed and developing countries. Minimally invasive focal ablation of liver tumors is an alternative technique to resection and transplantation for early-stage cancer and is focused on reducing patient complications and recovery times. Although promising, the therapeutic benefits are currently present with high local cancer recurrence. One potential source of error arises when performing therapy applicator guidance with 2D ultrasound (US) since the field-of-view is limited and requires the physician to build a mental image of the anatomy. Our solution to this limitation has been the development of a novel mechanically assisted 3D US imaging and guidance system capable of providing geometrically variable images. A three-motor mechanical mover was designed to provide linear, tilt, and hybrid geometries with adjustable ranges of motion for variable 3D US fields-of-view. This mover can manipulate any clinically available 2D US transducer via transducer-specific 3D-printed holders to guide applicator insertions intraoperatively. This mover is held by a counterbalanced mechanical “arm and wrist”, which contain electromagnetic brakes and five encoders to track the position of the transducer. This mechanical support is mounted on a portable cart with coarse adjustable height to accommodate gross differences in patient sizes. This work represents the design, construction, software implementation, preliminary 3D volume reconstruction evaluation, and the first qualitative human volunteer scans. Geometric errors performed on a grid phantom were <3% and human volunteer images were clinically applicable.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Derek J. Gillies, Jeffrey Bax, Kevin Barker, Lori Gardi, David Tessier, Nirmal Kakani, and Aaron Fenster "Mechanically assisted 3D ultrasound with geometrically variable imaging for minimally invasive focal liver tumor therapy", Proc. SPIE 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 109510Y (8 March 2019); https://doi.org/10.1117/12.2512875
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
3D image processing

3D acquisition

Liver

3D image reconstruction

3D scanning

Cancer

Scanners

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