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Proceedings Paper

CT thermometry for cone-beam CT guided ablation
Author(s): Zachary DeStefano; Nadine Abi-Jaoudeh; Ming Li; Bradford J. Wood; Ronald M. Summers; Jianhua Yao
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Paper Abstract

Monitoring temperature during a cone-beam CT (CBCT) guided ablation procedure is important for prevention of over-treatment and under-treatment. In order to accomplish ideal temperature monitoring, a thermometry map must be generated. Previously, this was attempted using CBCT scans of a pig shoulder undergoing ablation.1 We are extending this work by using CBCT scans of real patients and incorporating more processing steps. We register the scans before comparing them due to the movement and deformation of organs. We then automatically locate the needle tip and the ablation zone. We employ a robust change metric due to image noise and artifacts. This change metric takes windows around each pixel and uses an equation inspired by Time Delay Analysis to calculate the error between windows with the assumption that there is an ideal spatial offset. Once the change map is generated, we correlate change data with measured temperature data at the key points in the region. This allows us to transform our change map into a thermal map. This thermal map is then able to provide an estimate as to the size and temperature of the ablation zone. We evaluated our procedure on a data set of 12 patients who had a total of 24 ablation procedures performed. We were able to generate reasonable thermal maps with varying degrees of accuracy. The average error ranged from 2.7 to 16.2 degrees Celsius. In addition to providing estimates of the size of the ablation zone for surgical guidance, 3D visualizations of the ablation zone and needle are also produced.

Paper Details

Date Published: 18 March 2016
PDF: 10 pages
Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 978615 (18 March 2016); doi: 10.1117/12.2216302
Show Author Affiliations
Zachary DeStefano, National Institutes of Health (United States)
Nadine Abi-Jaoudeh, National Institutes of Health (United States)
Ming Li, National Institutes of Health (United States)
Bradford J. Wood, National Institutes of Health (United States)
Ronald M. Summers, National Institutes of Health (United States)
Jianhua Yao, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 9786:
Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

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