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International Journal of Computer Assisted Radiology and Surgery

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01-06-2015 | Original Article

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

Authors: 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

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 6/2015

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.

See http://www.spl.harvard.edu/publications/item/view/2718.

The source code and license are available at https://github.com/SlicerProstate.

The source code and detailed license are available at https://github.com/siavashk/GMM-FEM.

http://www.r-project.org/.

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Title: Open-source image registration for MRI–TRUS fusion-guided prostate interventions
Authors: 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
Publication date: 01-06-2015
Publisher: Springer Berlin Heidelberg
Published in: International Journal of Computer Assisted Radiology and Surgery / Issue 6/2015
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-015-1180-7

Keynote webinar | Spotlight on medication adherence

Springer Medicine

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

Abstract

Purpose

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusions

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