Semiautomatic parametric model-based 3D lesion segmentation for evaluation of mr-guided radiofrequency ablation therapy

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

Research output: Contribution to journalArticle

Abstract

Rationale and Objectives. Interventional magnetic resonance imaging (iMRI) allows real-time guidance and optimization of radiofrequency ablation of pathologic tissue. For many tissues, resulting lesions have a characteristic two-boundary appearance featuring an inner region and an outer hyper-intense margin in both T2 and contrast-enhanced (CE) T1-weighted MR images. We created a geometric model-based semiautomatic method to aid in real-time lesion segmentation, cross-sectional/three-dimensional visualization, and intra/posttreatment evaluation. Materials and Methods. Our method relies on a 12-parameter, 3-dimensional, globally deformable model with quadric surfaces that describe both lesion boundaries. We present an energy minimization approach to quickly and semiautomatically fit the model to a gray-scale MR image volume. We applied the method to in vivo lesions (n = 10) in a rabbit thigh model, using T2 and CE T1-weighted MR images, and compared the results with manually segmented boundaries. Results. For all lesions, the median error was ≤1.21 mm for the inner region and ≤1.00 mm for the outer hyper-intense region, values that favorably compare to a voxel width of 0.7 mm and distances between the borders manually segmented by the two operators. Conclusion. Our method provides a precise, semiautomatic approximation of lesion shape for ellipsoidal lesions. Further, the method has clinical applications in lesion visualization, volume estimation, and treatment evaluation.

Original languageEnglish (US)
Pages (from-to)1491-1501
Number of pages11
JournalAcademic radiology
Volume12
Issue number12
DOIs
StatePublished - Dec 1 2005

Keywords

  • Interventional Magnetic Resonance Imaging
  • Medical Image Processing
  • Parametric Deformable Model Segmentation
  • Radiofrequency Thermal Ablation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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