Paper
23 February 2010 Validation platform for ultrasound-based monitoring of thermal ablation
Alexandra M. Pompeu-Robinson, James Gray, Joshua Marble, Hamed Peikari, Jena Hall, Paweena U-Thainual, Mohammad Aboofazeli, Andras Lasso, Gabor Fichtinger
Author Affiliations +
Abstract
PURPOSE: A ground-truth validation platform was developed to provide spatial correlation between ultrasound (US), temperature measurements and histopathology images to validate US based thermal ablation monitoring methods. METHOD: The test-bed apparatus consists of a container box with integrated fiducial lines. Tissue samples are suspended within the box using agar gel as the fixation medium. Following US imaging, the gel block is sliced and pathology images are acquired. Interactive software segments the fiducials as well as structures of interest in the pathology and US images. The software reconstructs the regions in 3D space and performs analysis and comparison of the features identified from both imaging modalities. RESULTS: The apparatus and software were constructed to meet technical requirements. Tissue samples were contoured, reconstructed and registered in the common coordinate system of fiducials. There was agreement between the sample shapes, but systematic shift of several millimeters was found between histopathology and US. This indicates that during pathology slicing shear forces tend to dislocate the fiducial lines. Softer fiducial lines and harder gel material can eliminate this problem. CONCLUSION: Viability of concept was presented. Despite our straightforward approach, further experimental work is required to optimize all materials and customize software.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexandra M. Pompeu-Robinson, James Gray, Joshua Marble, Hamed Peikari, Jena Hall, Paweena U-Thainual, Mohammad Aboofazeli, Andras Lasso, and Gabor Fichtinger "Validation platform for ultrasound-based monitoring of thermal ablation", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76250T (23 February 2010); https://doi.org/10.1117/12.844053
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Pathology

Tissues

Ultrasonography

Image segmentation

Scanners

Visualization

Clouds

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