A 3D lesion model for segmentation and evaluation of interventional MRI-guided thermal ablation treatment

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

Research output: Contribution to journalConference articlepeer-review

Abstract

We are investigating imaging considerations and physiologic response to radiofrequency ablation of pathologic tissue, where the lesion is localized and monitored through real-time MR images. For this, we created a twelve parameter deformable model of lesion shape. The model is useful for lesion visualization, volume approximation, automated segmentation, and volume registration. Using digital phantoms we quantified the model's ability to estimate whole lesion shape from erroneous and partial boundary information. Among all in vivo lesions (n = 10), the mean median fit errors were 0.32 mm (0.11 SD) and 0.38 mm (0.16 SD) for the inner and outer surfaces respectively.

Original languageEnglish (US)
Pages (from-to)1200-1201
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

  • Deformable model
  • Interventional MRI
  • Medical image processing
  • Thermal ablation

ASJC Scopus subject areas

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

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