Paper
5 May 2004 Image-guided laser thermal ablation therapy: a comparison of modeled tissue damage using interventional MR temperature images with tissue response
Michael S. Breen, Kim Butts, Lili Chen, David L. Wilson
Author Affiliations +
Abstract
Solid tumors and other pathologies can be treated using laser thermal ablation under interventional magnetic resonance imaging (iMRI) guidance. We developed a model to predict cell death from MR thermometry measurements and applied it to in vivo rabbit brain data. We aligned post-ablation MR lesion images to gradient echo images, from which temperature is derived, using a mutual information registration method. We used the outer boundary of the hyperintense rim in the post-ablation MR lesion image as the boundary for cell death, as verified from histology. Model parameters were simultaneously estimated using an iterative optimization algorithm applied to every interesting voxel in 185 images from multiple experiments having various temperature histories. The model gave a voxel sensitivity and specificity of 86.9% and 98.8%, respectively. Mislabeled voxels typically were within one voxel of the segmented necrotic boundary. This is good evidence that iMRI temperature maps can be used with our model to predict therapeutic regions in real-time.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael S. Breen, Kim Butts, Lili Chen, and David L. Wilson "Image-guided laser thermal ablation therapy: a comparison of modeled tissue damage using interventional MR temperature images with tissue response", Proc. SPIE 5367, Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display, (5 May 2004); https://doi.org/10.1117/12.535942
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Cited by 1 scholarly publication and 3 patents.
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KEYWORDS
Magnetic resonance imaging

Tissues

Cell death

Image segmentation

Laser ablation

Mathematical modeling

Image registration

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