Improved validation platform for ultrasound-based monitoring of thermal ablation
2011
PURPOSE: Thermal ablation is a popular method in local cancer management; however it is extremely challenging
to predict thermal changes in vivo. Ultrasound could be a convenient and inexpensive imaging modality
for real-time monitoring of the ablation, but the required advanced image processing algorithms need extensive
validation. Our goal is to design and develop a reliable test-bed for validation of these monitoring algorithms.
METHOD: We previously developed a test-bed, consisting of ablated tissue sample and fiducial lines embedded
in tissue-mimicking gel.1 The gel block is imaged by ultrasound and sliced to acquire pathology images. Following
fiducial localization in both image modalities, the pathology and US data were registered. Ground truth
ablated region is retrieved from pathology images and compared to the result of the ultrasound-based processing
in 3D space. We improved on this platform to resolve limitations that hindered its usage in a larger-scale validation
study. A simulator for evaluating and optimizing different line fiducial structures was implemented, and
a new fiducial line structure was proposed. RESULTS: The new proposed fiducial configuration outperforms
the previous in terms of accuracy, fiducial visibility, and use of larger tissue samples. Simulation results show
improvement in pose recovery accuracy using our proposed fiducial structure, reducing target registration error
(TRE) by 34%. Inaccurate pixel spacing information and fiducial localization noise are the main sources of error
in slice pose recovery. CONCLUSION: A new generation of test-bed was developed, with software that does
not require lengthy manual data processing, and is easier to maintain and extend. Further experimental work is
required to optimize phantom preparation and precise pixel spacing computation.
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