Characterization of tissue response to radiofrequency ablation using 3D model-based analysis of interventional MR images

Brent D. Weinberg, Roee S. Lazebnik, Michael S. Breen, Jonathan S. Lewin, David L. Wilson

Research output: Contribution to journalConference articlepeer-review


Using magnetic resonance imaging (MRI), real-time guidance is feasible for radiofrequency (RF) current ablation of pathologic tissue. Lesions have a characteristic two-zone appearance: an inner core (Zone I) surrounded by a hyper-intense rim (Zone II). A better understanding of both the immediate (hyper-acute) and delayed (sub-acute) physiological response of the target tissue will aid development of minimally invasive tumor treatment strategies. We performed in vivo RF ablations in a rabbit thigh model and characterized the tissue response to treatment through contrast enhanced (CE) T1 and T2 weighted MR images at two time points. We measured zonal grayscale changes as well as zone volume changes using a 3D computationally fitted globally deformable parametric model. Comparison over time demonstrated an increase in the volume of both the inner necrotic core (mean 56.5% increase) and outer rim (mean 16.8% increase) of the lesion. Additionally, T2 images of the lesion exhibited contrast greater than or equal to CE T1 (mean 35% improvement). This work establishes a foundation for the clinical use of T2 MR images coupled with a geometric model of the ablation for noninvasive lesion monitoring and characterization.

Original languageEnglish (US)
Pages (from-to)54-62
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Sep 19 2003
EventMedical Imaging 2003: Physiology and Function: Methods, Systems, and Applications - San Diego, CA, United States
Duration: Feb 16 2003Feb 18 2003


  • Contrast measurement
  • Interventional magnetic resonance imaging
  • Parametric deformable model segmentation
  • Radiofrequency thermal ablation
  • Volume measurement

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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