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MRI Signal Intensity Based B-Spline Nonrigid Registration for Pre- and Intraoperative Imaging During Prostate Brachytherapy

Oguro S., Tokuda J., Elhawary H., Haker S., Kikinis R., Tempany C.M., Hata N.


Institution:	Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:	J Magn Reson Imaging
Publication Date:	Nov-2009
Volume Number:	30
Issue Number:	5
Pages:	1052-1058
Citation:	J Magn Reson Imaging. 2009 Nov;30(5):1052-8.
PubMed ID:	19856437
PMCID:	PMC2801562
Keywords:	Prostate cancer, Image Registration, prostate brachytherapy, B-Spline, signal intensity-based nonrigid registration
Appears in Collections:	SNR, NA-MIC, NAC, NCIGT, Prostate Group, SLICER, SPL
Sponsors:	New Energy and Industrial Technology Development Organization, Japan NIH U41 RR019703 NIH P01 CA067165 NIH R01 CA111288 NIH U54 EB005149 NIH R01 CA109246 NIH P41 RR13218
Generated Citation:	Oguro S., Tokuda J., Elhawary H., Haker S., Kikinis R., Tempany C.M., Hata N. MRI Signal Intensity Based B-Spline Nonrigid Registration for Pre- and Intraoperative Imaging During Prostate Brachytherapy. J Magn Reson Imaging. 2009 Nov;30(5):1052-8. PMID: 19856437. PMCID: PMC2801562.
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To apply an intensity-based nonrigid registration algorithm to MRI-guided prostate brachytherapy clinical data and to assess its accuracy. MATERIALS AND METHODS:: A nonrigid registration of preoperative MRI to intraoperative MRI images was carried out in 16 cases using a Basis-Spline algorithm in a retrospective manner. The registration was assessed qualitatively by experts' visual inspection and quantitatively by measuring the Dice similarity coefficient (DSC) for total gland (TG), central gland (CG), and peripheral zone (PZ), the mutual information (MI) metric, and the fiducial registration error (FRE) between corresponding anatomical landmarks for both the nonrigid and a rigid registration method. RESULTS:: All 16 cases were successfully registered in less than 5 min. After the nonrigid registration, DSC values for TG, CG, PZ were 0.91, 0.89, 0.79, respectively, the MI metric was -0.19±0.07 and FRE presented a value of 2.3±1.8 mm. All the metrics were significantly better than in the case of rigid registration, as determined by one-sided t-tests. CONCLUSION:: The intensity-based nonrigid registration method using clinical data was demonstrated to be feasible and showed statistically improved metrics when compare to only rigid registration. The method is a valuable tool to integrate pre- and intraoperative images for brachytherapy.

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