3D Modelling of the Residual Freezing for Renal Cryoablation Simulation and Prediction

Caroline Essert*, Pramod P. Rao, Afshin Gangi, Leo Joskowicz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Percutaneous cryoablation has become a popular alternative to open surgery for the treatment of abdominal tumors. The preoperative planning of such interventions is an essential but complicated task. It consists in predicting the best placement for several cryoprobes to optimize the resulting iceball shape, that has to cover the whole tumor, while preserving healthy tissue and surrounding sensitive structures. In the past few years, methods have been proposed to simulate the propagation of cold within the tissue, in order to anticipate the final coverage. However, all the proposed models considered the source of cold as limited to the active tip of the cryoprobe, thus omitting a residual freezing along the probe’s body. The lack of precision of the resulting models can cause an underestimation of the predicted iceball leading to potential damages to healthy tissue or pain. In this paper, we describe the extension of an existing freezing simulation model to account for this effect. We detail the experimentation of our model on 5 retrospective cases, and demonstrate the improvement of the accuracy and realism of our simulation.

Original languageAmerican English
Title of host publicationMedical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings
EditorsDinggang Shen, Pew-Thian Yap, Tianming Liu, Terry M. Peters, Ali Khan, Lawrence H. Staib, Caroline Essert, Sean Zhou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages209-217
Number of pages9
ISBN (Print)9783030322533
DOIs
StatePublished - 2019
Event22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019 - Shenzhen, China
Duration: 13 Oct 201917 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11768 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019
Country/TerritoryChina
CityShenzhen
Period13/10/1917/10/19

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

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