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Proceedings Paper

PET guidance for liver radiofrequency ablation: an evaluation
Author(s): Peng Lei; Omkar Dandekar; Faaiza Mahmoud; David Widlus; Patrick Malloy; Raj Shekhar
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Paper Abstract

Radiofrequency ablation (RFA) is emerging as the primary mode of treatment of unresectable malignant liver tumors. With current intraoperative imaging modalities, quick, precise, and complete localization of lesions remains a challenge for liver RFA. Fusion of intraoperative CT and preoperative PET images, which relies on PET and CT registration, can produce a new image with complementary metabolic and anatomic data and thus greatly improve the targeting accuracy. Unlike neurological images, alignment of abdominal images by combined PET/CT scanner is prone to errors as a result of large nonrigid misalignment in abdominal images. Our use of a normalized mutual information-based 3D nonrigid registration technique has proven powerful for whole-body PET and CT registration. We demonstrate here that this technique is capable of acceptable abdominal PET and CT registration as well. In five clinical cases, both qualitative and quantitative validation showed that the registration is robust and accurate. Quantitative accuracy was evaluated by comparison between the result from the algorithm and clinical experts. The accuracy of registration is much less than the allowable margin in liver RFA. Study findings show the technique's potential to enable the augmentation of intraoperative CT with preoperative PET to reduce procedure time, avoid repeating procedures, provide clinicians with complementary functional/anatomic maps, avoid omitting dispersed small lesions, and improve the accuracy of tumor targeting in liver RFA.

Paper Details

Date Published: 21 March 2007
PDF: 8 pages
Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 650918 (21 March 2007); doi: 10.1117/12.709683
Show Author Affiliations
Peng Lei, Univ. of Maryland, College Park (United States)
Univ. of Maryland, Baltimore (United States)
Omkar Dandekar, Univ. of Maryland, College Park (United States)
Univ. of Maryland, Baltimore (United States)
Faaiza Mahmoud, VA Maryland Health Care System (United States)
David Widlus, Univ. of Maryland, Baltimore (United States)
Patrick Malloy, Univ. of Maryland, Baltimore (United States)
Raj Shekhar, Univ. of Maryland, Baltimore (United States)
Univ. of Maryland, College Park (United States)


Published in SPIE Proceedings Vol. 6509:
Medical Imaging 2007: Visualization and Image-Guided Procedures
Kevin R. Cleary; Michael I. Miga, Editor(s)

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