A comparison of high resolution ex vivo and interventional in vivo MR images and cellular response for thermal ablation treatment evaluation

M. S. Breen, R. S. Lazebnik, J. S. Lewin, D. L. Wilson

Research output: Contribution to journalConference articlepeer-review

Abstract

We are treating patient tumors using radiofrequency (RF) ablation under interventional MRI (iMRI) guidance. We investigated the ability of high resolution ex vivo and interventional in vivo MR images to predict cellular response by comparing MR thermal lesion images to cellular damage as seen histologically. Our new methodology allows three dimensional (3D) registration that enables more accurate correlation than previous two dimensional (2D) methods. Using a low-field (0.2T) open magnet iMRI system for electrode guidance, we applied RF current to the thigh muscles of 16 New Zealand White rabbits. After tissue dissection, a 1.5T MRI system was used to obtain high resolution ex vivo images. To relate MR and histology images, we obtained intermediate pictures of thick tissue slices using a specially designed apparatus. Registration was done with a computer algorithm that matches tracks of needle fiducials placed near the site of interest. After registration, we determined the region inside the circular, hyper-intense rim in MR closely corresponds to the region of necrosis. This is good evidence that high resolution ex vivo and interventional in vivo MR images can be used to predict the cellular response for RF ablation treatments.

Original languageEnglish (US)
Pages (from-to)1190-1191
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - Dec 1 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002

Keywords

  • Image registration
  • Interventional magnetic resonance imaging
  • Medical imaging

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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