Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation

Ehsan Golkar; Pramod P. Rao; Leo Joskowicz; Afshin Gangi; Caroline Essert

doi:10.1007/978-3-030-00937-3_27

Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation

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

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Percutaneous cryoablation is a minimally invasive procedure of hypothermia for the treatment of tumors. Several needles are inserted in the tumor through the skin, to create an iceball and kill the malignant cells. The procedure consists of several cycles alternating extreme freezing and thawing. This procedure is very complex to plan, as the iceball is formed from multiple needles and influenced by major blood vessels nearby, making its final shape very difficult to anticipate. For computer assistance to cryoablation planning, it is essential to predict accurately the final volume of necrosis. In this paper, a fast GPU implementation of 3D thermal propagation is presented based on heat transfer equation. Our approach accounts for the presence of major blood vessels in the vicinity of the iceball. The method is validated first in gel conditions, then on an actual retrospective patient case of renal cryoablation with complex vascular structure close to the tumor. The results show that the accuracy of our simulated iceball can help surgeons in surgical planning.

Original language	English
Title of host publication	Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings
Editors	Alejandro F. Frangi, Gabor Fichtinger, Julia A. Schnabel, Carlos Alberola-López, Christos Davatzikos
Publisher	Springer Verlag
Pages	230-237
Number of pages	8
ISBN (Print)	9783030009366
DOIs	https://doi.org/10.1007/978-3-030-00937-3_27
State	Published - 2018
Event	21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain Duration: 16 Sep 2018 → 20 Sep 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11073 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
Country/Territory	Spain
City	Granada
Period	16/09/18 → 20/09/18

Bibliographical note

Publisher Copyright:
© 2018, Springer Nature Switzerland AG.

Access to Document

10.1007/978-3-030-00937-3_27

Cite this

Golkar, E., Rao, P. P., Joskowicz, L., Gangi, A., & Essert, C. (2018). Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation. In A. F. Frangi, G. Fichtinger, J. A. Schnabel, C. Alberola-López, & C. Davatzikos (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings (pp. 230-237). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11073 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-00937-3_27

Golkar, Ehsan ; Rao, Pramod P. ; Joskowicz, Leo et al. / Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. editor / Alejandro F. Frangi ; Gabor Fichtinger ; Julia A. Schnabel ; Carlos Alberola-López ; Christos Davatzikos. Springer Verlag, 2018. pp. 230-237 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Percutaneous cryoablation is a minimally invasive procedure of hypothermia for the treatment of tumors. Several needles are inserted in the tumor through the skin, to create an iceball and kill the malignant cells. The procedure consists of several cycles alternating extreme freezing and thawing. This procedure is very complex to plan, as the iceball is formed from multiple needles and influenced by major blood vessels nearby, making its final shape very difficult to anticipate. For computer assistance to cryoablation planning, it is essential to predict accurately the final volume of necrosis. In this paper, a fast GPU implementation of 3D thermal propagation is presented based on heat transfer equation. Our approach accounts for the presence of major blood vessels in the vicinity of the iceball. The method is validated first in gel conditions, then on an actual retrospective patient case of renal cryoablation with complex vascular structure close to the tumor. The results show that the accuracy of our simulated iceball can help surgeons in surgical planning.",

author = "Ehsan Golkar and Rao, {Pramod P.} and Leo Joskowicz and Afshin Gangi and Caroline Essert",

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Golkar, E, Rao, PP, Joskowicz, L, Gangi, A & Essert, C 2018, Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation. in AF Frangi, G Fichtinger, JA Schnabel, C Alberola-López & C Davatzikos (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11073 LNCS, Springer Verlag, pp. 230-237, 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 16/09/18. https://doi.org/10.1007/978-3-030-00937-3_27

Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation. / Golkar, Ehsan; Rao, Pramod P.; Joskowicz, Leo et al.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. ed. / Alejandro F. Frangi; Gabor Fichtinger; Julia A. Schnabel; Carlos Alberola-López; Christos Davatzikos. Springer Verlag, 2018. p. 230-237 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11073 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Golkar E, Rao PP, Joskowicz L, Gangi A, Essert C. Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation. In Frangi AF, Fichtinger G, Schnabel JA, Alberola-López C, Davatzikos C, editors, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Springer Verlag. 2018. p. 230-237. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-00937-3_27

Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation

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