Mr. Johoon Kim Profile

Johoon Kim

at Univ of Pennsylvania

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Proceedings Article | 18 October 2022 Open Access

Non-invasive real-time thermometry via spectral CT physical density quantifications

Nadav Shapira, Leening Liu, Rizza Pua, Derick Rosario, Johoon Kim, David Cormode, Gregory Nadolski, Matthew Hung, Michael Soulen, Peter Noël

Proceedings Volume 12304, 1230404 (2022) https://doi.org/10.1117/12.2647018

KEYWORDS: Thermometry, Computed tomography, Liver, Liver cancer, X-rays

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Efficient removal of solid focal tumors is a major challenge in modern medicine. Percutaneous thermal ablation is a first-line treatment for patients not fit for surgical resection or when the disease burden is low, mainly due to expedited patient recovery times, lower rates of post-operative morbidity, and reduced healthcare costs. While continuously gaining popularity, ~100,000 yearly thermal hepatic ablation procedures are currently performed without actively monitoring temperature distributions, leading to high rates of incomplete ablations, local recurrences, and damage to surrounding structures. Recent advancements in computed tomography (CT), especially spectral CT, provide promising opportunities for lowering these rates. The additional information available with spectral CT can provide the necessary capabilities to achieve accurate, reliable, on-demand, and non-invasive thermometry during ablation procedures. By taking advantage of our newly developed spectral physical density maps and their direct relation with temperature changes, we performed experiments on phantoms and ex vivo tissue to develop, evaluate, optimize, and refine a method for generating thermometry maps from spectral CT scans. Our results validate the accuracy of the spectral physical density model, allowing “whole-organ” mass quantifications that are accurate within one percent, as well as demonstrate an ability to extract temperature changes (linear correlation coefficient of 0.9781) non-invasively and in real-time.

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