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01.06.2015 | Original Article | Ausgabe 6/2015

International Journal of Computer Assisted Radiology and Surgery 6/2015

Open-source image registration for MRI–TRUS fusion-guided prostate interventions

Zeitschrift:
International Journal of Computer Assisted Radiology and Surgery > Ausgabe 6/2015
Autoren:
Andriy Fedorov, Siavash Khallaghi, C. Antonio Sánchez, Andras Lasso, Sidney Fels, Kemal Tuncali, Emily Neubauer Sugar, Tina Kapur, Chenxi Zhang, William Wells, Paul L. Nguyen, Purang Abolmaesumi, Clare Tempany
Wichtige Hinweise

Conflict of interest

T.K. received a research grant from Siemens Healthcare. C.A.S., S.K., P.A. and S.F. received research grants from Autodesk Research Inc.

Ethical standard

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

Abstract

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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