Image Registration and Fusion for Interventional MRI Guided Thermal Ablation of the Prostate Cancer

We are investigating interventional MRI (iMRI) guided thermal ablation treatment of the prostate cancer. Functional images such as SPECT can detect and localize tumor in the prostate not reliably seen in MRI. We intend to combine the advantages of SPECT with iMRI-guided treatments. Our concept is to first register the low-resolution SPECT with a high resolution MRI volume. Then by registering the high-resolution MR image with iMRI acquisitions, we can, in turn, map the functional data and high-resolution anatomic information to iMRI images for improved tumor targeting. For the first step, we used a mutual information registration method. For the latter, we developed a robust slice to volume (SV) registration algorithm. Image data were acquired from patients and volunteers. Compared to our volume-to-volume registration that was previously evaluated to be quite accurate, the SV registration accuracy is about 0.5mm for transverse images covering the prostate. With our image registration and fusion software, simulation experiments show that it is feasible to incorporate SPECT and high resolution MRI into the iMRI-guided treatment.

[1]  D. B. Sodee,et al.  Prostate cancer and prostate bed SPECT imaging with ProstaScint®: Semiquantitative correlation with prostatic biopsy results , 1998, The Prostate.

[2]  Robert Nowak,et al.  Noise removal methods for high resolution MRI , 1997, 1997 IEEE Nuclear Science Symposium Conference Record.

[3]  William H. Press,et al.  Numerical Recipes in FORTRAN - The Art of Scientific Computing, 2nd Edition , 1987 .

[4]  A Collignon,et al.  Automated multimodality image registration using information theory , 1995 .

[5]  David L. Wilson,et al.  Automatic MR volume registration and its evaluation for the pelvis and prostate. , 2002, Physics in medicine and biology.

[6]  A. Macovski Noise in MRI , 1996, Magnetic resonance in medicine.

[7]  David L. Wilson,et al.  Robust registration method for interventional MRI-guided thermal ablation of prostate cancer , 2001, SPIE Medical Imaging.

[8]  Guy Marchal,et al.  Multi-modality image registration by maximization of mutual information , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[9]  Jonathan S. Lewin,et al.  Semiautomatic 3-D image registration as applied to interventional MRI liver cancer treatment , 2000, IEEE Transactions on Medical Imaging.

[10]  H. Malcolm Hudson,et al.  Accelerated image reconstruction using ordered subsets of projection data , 1994, IEEE Trans. Medical Imaging.

[11]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[12]  G. Bakale,et al.  Multicenter ProstaScint imaging findings in 2154 patients with prostate cancer. The ProstaScint Imaging Centers. , 2000, Urology.

[13]  David L. Wilson,et al.  Evaluation of 3D image registration as applied to MR‐guided thermal treatment of liver cancer , 1998, Journal of magnetic resonance imaging : JMRI.

[14]  William H. Press,et al.  Numerical recipes in C. The art of scientific computing , 1987 .

[15]  Jonathan S. Lewin,et al.  Slice-to-volume registration and its potential application to interventional MRI-guided radio-frequency thermal ablation of prostate cancer , 2003, IEEE Transactions on Medical Imaging.

[16]  David L. Wilson,et al.  Registration algorithms for interventional MRI-guided treatment of the prostate , 2003, SPIE Medical Imaging.

[17]  David L Wilson,et al.  A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[18]  P. Carroll,et al.  Prostate cancer: localization with three-dimensional proton MR spectroscopic imaging--clinicopathologic study. , 1999, Radiology.

[19]  J. Lewin,et al.  Invited. Interactive MRI‐guided radiofrequency interstitial thermal ablation of abdominal tumors: Clinical trial for evaluation of safety and feasibility , 1998, Journal of magnetic resonance imaging : JMRI.

[20]  David L Wilson,et al.  Automatic 3D registration for interventional MRI-guided treatment of prostate cancer. , 2002, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[21]  William H. Press,et al.  The Art of Scientific Computing Second Edition , 1998 .