Image registration for interventional MRI-guided minimally invasive treatment of prostate cancer

Baowei Fei, Daniel T. Boll, Jeffery L. Duerk, David L. Wilson

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

We are investigating automatic image registration methods that can be used for interventional magnetic resonance imaging (iMRI) guided radiofrequency (RF) thermal ablation of prostate cancer. We tested the ability of slice-to-volume registration between iMRI slice images and high-resolution MRI volumes. Images were acquired from a conventional 1.5 T and an interventional 0.2 T MRI system. We evaluated the registration quality by calculating 3D displacement on a voxel-by-voxel basis over a volume of interest between slice-to-volume registration and volume-to-volume registration that was previously shown to be quite accurate. Visual inspections such as color overlay and contour overlap were also used for registration evaluation. More than 300 registration experiments were performed on MR images of volunteers. Results showed that the registration was quite robust and accurate (< 2 mm) for the transverse images covering the prostate.

Original languageEnglish (US)
Number of pages1
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - Dec 1 2002
Externally publishedYes
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

Fingerprint

Interventional Magnetic Resonance Imaging
Image registration
Magnetic resonance
Magnetic resonance imaging
Prostatic Neoplasms
Imaging techniques
Ablation
Prostate
Volunteers
Color
Hot Temperature
Inspection
Therapeutics
Experiments

Keywords

  • Image registration
  • Interventional magnetic resonance imaging (iMRI)
  • Medical imaging
  • Prostate cancer

ASJC Scopus subject areas

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

Cite this

Image registration for interventional MRI-guided minimally invasive treatment of prostate cancer. / Fei, Baowei; Boll, Daniel T.; Duerk, Jeffery L.; Wilson, David L.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 2, 01.12.2002.

Research output: Contribution to journalConference article

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