Paper
28 May 2001 Robust registration method for interventional MRI-guided thermal ablation of prostate cancer
Baowei Fei, Andrew Wheaton, Zhenghong Lee, Kenichi Nagano, Jeffrey L. Duerk, David L. Wilson
Author Affiliations +
Abstract
We are investigating methods to register live-time interventional magnetic resonance imaging (iMRI) slice images with a previously obtained, high resolution MRI image volume. The immediate application is for iMRI-guided treatments of prostate cancer. We created and evaluated a slice-to-volume mutual information registration algorithm for MR images with special features to improve robustness. Features included a multi-resolution approach and automatic restarting to avoid local minima. We acquired 3D volume images from a 1.5 T MRI system and simulated iMRI images. To assess the quality of registration, we calculated 3D displacement on a voxel-by-voxel basis over a volume of interest between slice-to-volume registration and volume-to- volume registrations that were previously shown to be quite accurate. More than 500 registration experiments were performed on MR images of volunteers. The slice-to-volume registration algorithm was very robust for transverse images covering the prostate. A 100% success rate was achieved with an acceptance criterion of <1.0 mm displacement error over the prostate. Our automatic slice-to-volume mutual information registration algorithm is robust and probably sufficiently accurate to aid in the application of iMRI- guided thermal ablation of prostate cancer.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Baowei Fei, Andrew Wheaton, Zhenghong Lee, Kenichi Nagano, Jeffrey L. Duerk, and David L. Wilson "Robust registration method for interventional MRI-guided thermal ablation of prostate cancer", Proc. SPIE 4319, Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures, (28 May 2001); https://doi.org/10.1117/12.428092
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Cited by 6 scholarly publications.
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KEYWORDS
Image registration

Prostate

Magnetic resonance imaging

Signal to noise ratio

Prostate cancer

Bladder

Brain

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