Paper
21 March 2007 PET guidance for liver radiofrequency ablation: an evaluation
Peng Lei, Omkar Dandekar, Faaiza Mahmoud, David Widlus, Patrick Malloy, Raj Shekhar
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Lei, Omkar Dandekar, Faaiza Mahmoud, David Widlus, Patrick Malloy, and Raj Shekhar "PET guidance for liver radiofrequency ablation: an evaluation", Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 650918 (21 March 2007); https://doi.org/10.1117/12.709683
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CITATIONS
Cited by 3 scholarly publications and 1 patent.
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KEYWORDS
Image registration

Positron emission tomography

Computed tomography

Liver

Radiofrequency ablation

Image fusion

Tumors

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