Image registration and fusion for interventional MRI guided thermal ablation of the prostate cancer

Baowei Fei, Zhenghong Lee, Daniel T. Boll, Jeffery L. Duerk, Jonathan S. Lewin, David L. Wilson

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations


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 0.5 mm 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.

Original languageEnglish (US)
Pages (from-to)364-372
Number of pages9
JournalLecture Notes in Computer Science
Issue numberPART 2
StatePublished - 2003
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada
Duration: Nov 15 2003Nov 18 2003

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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