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Open-source Image Registration for MRI-TRUS Fusion-guided Prostate Interventions

1Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
2Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada.
3Queen's University, Ontario, Canada.
4Department of Radiation Oncology, Brigham and Women's Hospital, Boston, MA, USA.
Publication Date:
Int J Comput Assist Radiol Surg
Volume Number:
Issue Number:
Int J Comput Assist Radiol Surg. 2015 Jun;10(6):925-34.
Presented at:
Image Processing in Computer Assisted Interventions (IPCAI) 2015
PubMed ID:
Prostate cancer, targeted biopsy, image-guided interventions, magnetic resonance imaging, ultrasound
Appears in Collections:
Prostate Group, NCIGT, SLICER, SPL
R01 CA111288/CA/NCI NIH HHS/United States
P41 RR019703/RR/NCRR NIH HHS/United States
P41 EB015898/EB/NIBIB NIH HHS/United States
U24 CA180918/CA/NCI NIH HHS/United States
Natural Sciences and Engineering Research Council of Canada (NSERC)
Canadian Institutes of Health (CIHR)
Networked Centres of Excellence on Graphics, Animation and New Media (GRAND)
Autodesk Research Inc.
UBC (FYF6456)
China Scholarship Council (201206105023)
Generated Citation:
Fedorov A., Khallaghi S., Sánchez C.A., Lasso A., Fels S., Tuncali K., Neubauer Sugar E., Kapur T., Zhang C., Wells III W.M., Nguyen P.L., Abolmaesumi P., Tempany C.M. Open-source Image Registration for MRI-TRUS Fusion-guided Prostate Interventions. Int J Comput Assist Radiol Surg. 2015 Jun;10(6):925-34. PMID: 25847666. PMCID: PMC4451374.
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PURPOSE: We propose two software tools for non-rigid registration of MRI and transrectal ultrasound (TRUS) images of the prostate. Our ultimate goal is to develop an open-source solution to support MRI-TRUS fusion image guidance of prostate interventions, such as targeted biopsy for prostate cancer detection and focal therapy. It is widely hypothesized that image registration is an essential component in such systems. METHODS: The two non-rigid registration methods are: (1) a deformable registration of the prostate segmentation distance maps with B-spline regularization and (2) a finite element-based deformable registration of the segmentation surfaces in the presence of partial data. We evaluate the methods retrospectively using clinical patient image data collected during standard clinical procedures. Computation time and Target Registration Error (TRE) calculated at the expert-identified anatomical landmarks were used as quantitative measures for the evaluation. RESULTS: The presented image registration tools were capable of completing deformable registration computation within 5 min. Average TRE was approximately 3 mm for both methods, which is comparable with the slice thickness in our MRI data. Both tools are available under nonrestrictive open-source license. CONCLUSIONS: We release open-source tools that may be used for registration during MRI-TRUS-guided prostate interventions. Our tools implement novel registration approaches and produce acceptable registration results. We believe these tools will lower the barriers in development and deployment of interventional research solutions and facilitate comparison with similar tools.

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