Deformable prostate registration from MR and TRUS images using surface error driven FEM models

Farheen Taquee; Orcun Goksel; S. Sara Mahdavi; Mira Keyes; W. James Morris; Ingrid Spadinger; Septimiu Salcudean

doi:10.1117/12.911688

17 February 2012 Deformable prostate registration from MR and TRUS images using surface error driven FEM models

Farheen Taquee, Orcun Goksel, S. Sara Mahdavi, Mira Keyes, W. James Morris, Ingrid Spadinger, Septimiu Salcudean

Proceedings Volume 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling; 831612 (2012) https://doi.org/10.1117/12.911688
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

The fusion of TransRectal Ultrasound (TRUS) and Magnetic Resonance (MR) images of the prostate can aid diagnosis and treatment planning for prostate cancer. Surface segmentations of the prostate are available in both modalities. Our goal is to develop a 3D deformable registration method based on these segmentations and a biomechanical model. The segmented source volume is meshed and a linear finite element model is created for it. This volume is deformed to the target image volume by applying surface forces computed by assuming a negative relative pressure between the non-overlapping regions of the volumes and the overlapping ones. This pressure drives the model to increase the volume overlap until the surfaces are aligned. We tested our algorithm on prostate surfaces extracted from post-operative MR and TRUS images for 14 patients, using a model with elasticity parameters in the range reported in the literature for the prostate. We used three evaluation metrics for validating our technique: the Dice Similarity Coefficient (DSC) (ideally equal to 1.0), which is a measure of volume alignment, the volume change in source surface during registration, which is a measure of volume preservation, and the distance between the urethras to assess the anatomical correctness of the method. We obtained a DSC of 0.96±0.02 and a mean distance between the urethras of 1.5±1.4 mm. The change in the volume of the source surface was 1.5±1.4%. Our results show that this method is a promising tool for physicallybased deformable surface registration.

Citation Download Citation

Farheen Taquee, Orcun Goksel, S. Sara Mahdavi, Mira Keyes, W. James Morris, Ingrid Spadinger, and Septimiu Salcudean "Deformable prostate registration from MR and TRUS images using surface error driven FEM models", Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 831612 (17 February 2012); https://doi.org/10.1117/12.911688

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available