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Image Registration for Targeted MRI-guided Transperineal Prostate Biopsy

Institution:
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
John Wiley & Sons, Inc.
Publication Date:
Oct-2012
Journal:
Journal of Magnetic Resonance Imaging
Volume Number:
36
Issue Number:
4
Pages:
987-992
Citation:
J Magn Reson Imaging. 2012 Oct;36(4):987-92.
Links:
http://dx.doi.org/10.1002/jmri.23688
PubMed ID:
22645031
PMCID:
PMC3434292
Keywords:
prostate cancer, image-guided interventions, Prostate Biopsy, image registration, nonrigid registration, mutual information, performance characterization
Appears in Collections:
Prostate Group, NA-MIC, NAC, NCIGT, SLICER, SNR, SPL
Sponsors:
P01 CA067165/CA/NCI NIH HHS/United States
P41 EB015898/EB/NIBIB NIH HHS/United States
P41 RR013218/RR/NCRR NIH HHS/United States
P41 RR019703/RR/NCRR NIH HHS/United States
R01 CA111288/CA/NCI NIH HHS/United States
U01 CA151261/CA/NCI NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Fedorov A., Tuncali K., Fennessy F.M., Tokuda J., Hata N., Wells III W.M., Kikinis R., Tempany C.M. Image Registration for Targeted MRI-guided Transperineal Prostate Biopsy. J Magn Reson Imaging. 2012 Oct;36(4):987-92. PMID: 22645031. PMCID: PMC3434292.
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PURPOSE: To develop and evaluate image registration methodology for automated re-identification of tumor-suspicious foci from preprocedural MR exams during MR-guided transperineal prostate core biopsy. MATERIALS AND METHODS: A hierarchical approach for automated registration between planning and intra-procedural T2-weighted prostate MRI was developed and evaluated on the images acquired during 10 consecutive MR-guided biopsies. Registration accuracy was quantified at image-based landmarks and by evaluating spatial overlap for the manually segmented prostate and sub-structures. Registration reliability was evaluated by simulating initial mis-registration and analyzing the convergence behavior. Registration precision was characterized at the planned biopsy targets. RESULTS: The total computation time was compatible with a clinical setting, being at most 2 min. Deformable registration led to a significant improvement in spatial overlap of the prostate and peripheral zone contours compared with both rigid and affine registration. Average in-slice landmark registration error was 1.3 ± 0.5 mm. Experiments simulating initial mis-registration resulted in an estimated average capture range of 6 mm and an average in-slice registration precision of ±0.3 mm. CONCLUSION: Our registration approach requires minimum user interaction and is compatible with the time constraints of our interventional clinical workflow. The initial evaluation shows acceptable accuracy, reliability and consistency of the method.

Additional Material
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Fedorov-JMRI2012-fig1.jpg (203.645kB)