PubDB - Treatment Planning and Image Guidance for Radiofrequency Ablations of Large Tumors

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Treatment Planning and Image Guidance for Radiofrequency Ablations of Large Tumors

Ren H. , Campos-Nanez E. , Yaniv Z. , Banovac F. , Abeledo H. , Hata N. , Cleary K.
Publication Date:
May-2014
Journal:
IEEE J Biomed Health Inform
Volume Number:
18
Issue Number:
3
Pages:
920-8
Citation:
IEEE J Biomed Health Inform. 2014 May;18(3):920-8.
PubMed ID:
24235279
PMCID:
PMC4113118
Keywords:
Radiofrequency Ablation, Image Guidance, Treatment Planning, Optimization, Open Source
Appears in Collections:
NCIGT, SLICER, SNR
Sponsors:
P41 EB015898/EB/NIBIB NIH HHS/United States
R01 CA124377/CA/NCI NIH HHS/United States
R01 CA138586/CA/NCI NIH HHS/United States
Generated Citation:
Ren H., Campos-Nanez E., Yaniv Z., Banovac F., Abeledo H., Hata N., Cleary K. Treatment Planning and Image Guidance for Radiofrequency Ablations of Large Tumors. IEEE J Biomed Health Inform. 2014 May;18(3):920-8. PMID: 24235279. PMCID: PMC4113118.
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This article addresses the two key challenges in computer-assisted percutaneous tumor ablation: planning multiple overlapping ablations for large tumors while avoiding critical structures, and executing the prescribed plan. Towards semi-automatic treatment planning for image-guided surgical interventions, we develop a systematic approach to the needle-based ablation placement task, ranging from pre-operative planning algorithms to an intra-operative execution platform. The planning system incorporates clinical constraints on ablations and trajectories using a multiple objective optimization formulation, which consists of optimal path selection and ablation coverage optimization based on integer programming. The system implementation is presented and validated in phantom studies and on an animal model. The presented system can potentially be further extended for other ablation techniques such as cryotherapy.

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