Motion and deformation compensation for freehand prostate biopsies

Siavash Khallaghi; Saman Nouranian; Samira Sojoudi; Hussam A. Ashab; Lindsay Machan; Silvia Chang; Peter Black; Martin Gleave; Larry Goldenberg; Purang Abolmaesumi

doi:10.1117/12.2043135

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12 March 2014 Motion and deformation compensation for freehand prostate biopsies

Siavash Khallaghi, Saman Nouranian, Samira Sojoudi, Hussam A. Ashab, Lindsay Machan, Silvia Chang, Peter Black, Martin Gleave, Larry Goldenberg, Purang Abolmaesumi

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Proceedings Volume 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling; 903620 (2014) https://doi.org/10.1117/12.2043135
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

In this paper, we present a registration pipeline to compensate for prostate motion and deformation during targeted freehand prostate biopsies. We perform 2D-3D registration by reconstructing a thin-volume around the real-time 2D ultrasound imaging plane. Constrained Sum of Squared Differences (SSD) and gradient descent optimization are used to rigidly align the moving volume to the fixed thin-volume. Subsequently, B-spline de- formable registration is performed to compensate for remaining non-linear deformations. SSD and zero-bounded Limited memory Broyden Fletcher Goldfarb Shannon (LBFGS) optimizer are used to find the optimum B-spline parameters. Registration results are validated on five prostate biopsy patients. Initial experiments suggest thin- volume-to-volume registration to be more effective than slice-to-volume registration. Also, a minimum consistent 2 mm improvement of Target Registration Error (TRE) is achieved following the deformable registration.

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Siavash Khallaghi, Saman Nouranian, Samira Sojoudi, Hussam A. Ashab, Lindsay Machan, Silvia Chang, Peter Black, Martin Gleave, Larry Goldenberg, and Purang Abolmaesumi "Motion and deformation compensation for freehand prostate biopsies", Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 903620 (12 March 2014); https://doi.org/10.1117/12.2043135

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