Slice-to-volume registration and its potential application to interventional MRI-guided radio-frequency thermal ablation of prostate cancer

In this study, we registered live-time interventional magnetic resonance imaging (iMRI) slices with a previously obtained high-resolution MRI volume that in turn can be registered with a variety of functional images, e.g., PET, SPECT, for tumor targeting. We created and evaluated a slice-to-volume (...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2003-04, Vol.22 (4), p.515-525
Main Authors: Baowei Fei, Duerk, J.L., Boll, D.T., Lewin, J.S., Wilson, D.L.
Format: Article
Language:English
Subjects:
Algorithms
Biological and medical sciences
Catheter Ablation - methods
Coils
Computer Simulation
Data visualization
High-resolution imaging
Humans
Imaging, Three-Dimensional - methods
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medical sciences
Monitoring, Intraoperative - methods
Needles
Neoplasms
Positron emission tomography
Prostate cancer
Prostatic Neoplasms - diagnosis
Prostatic Neoplasms - surgery
Radio frequency
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique
Surgery, Computer-Assisted - methods
Testing
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Summary:In this study, we registered live-time interventional magnetic resonance imaging (iMRI) slices with a previously obtained high-resolution MRI volume that in turn can be registered with a variety of functional images, e.g., PET, SPECT, for tumor targeting. We created and evaluated a slice-to-volume (SV) registration algorithm with special features for its potential use in iMRI-guided radio-frequency (RF) thermal ablation of prostate cancer. The algorithm features included a multiresolution approach, two similarity measures, and automatic restarting to avoid local minima. Imaging experiments were performed on volunteers using a conventional 1.5-T MR scanner and a clinical 0.2-T C-arm iMRI system under realistic conditions. Both high-resolution MR volumes and actual iMRI image slices were acquired from the same volunteers. Actual and simulated iMRI images were used to test the dependence of SV registration on image noise, receive coil inhomogeneity, and RF needle artifacts. To quantitatively assess registration, we calculated the mean voxel displacement over a volume of interest between SV registration and volume-to-volume registration, which was previously shown to be quite accurate. More than 800 registration experiments were performed. For transverse image slices covering the prostate, the SV registration algorithm was 100% successful with an error of
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2003.809078