TY  - CHAP
SN  - 978-3-319-46630-9
EP  - 166
PB  - Springer International Publishing
Y1  - 2016///
T3  - Lecture Notes in Computer Science
SP  - 157
T2  - Simulation and Synthesis in Medical Imaging. First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
A1  - Onofrey, John A.
A1  - Oksuz, Ilkay
A1  - Sarkar, Saradwata
A1  - Venkataraman, Rajesh
A1  - Staib, Lawrence H.
A1  - Papademetris, Xenophon
AV  - none
ID  - eprints3651
TI  - MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention
UR  - http://dx.doi.org/10.1007/978-3-319-46630-9_16
N2  - Accurate and robust fusion of pre-procedure magnetic resonance imaging (MRI) to intra-procedure trans-rectal ultrasound (TRUS) imaging is necessary for image-guided prostate cancer biopsy procedures. The current clinical standard for image fusion relies on non-rigid surface-based registration between semi-automatically segmented prostate surfaces in both the MRI and TRUS. This surface-based registration method does not take advantage of internal anatomical prostate structures, which have the potential to provide useful information for image registration. However, non-rigid, multi-modal intensity-based MRI-TRUS registration is challenging due to highly non-linear intensities relationships between MRI and TRUS. In this paper, we present preliminary work using image synthesis to cast this problem into a mono-modal registration task by using a large database of over 100 clinical MRI-TRUS image pairs to learn a joint model of MR-TRUS appearance. Thus, given an MRI, we use this learned joint appearance model to synthesize the patient?s corresponding TRUS image appearance with which we could potentially perform mono-modal intensity-based registration. We present preliminary results of this approach.
ER  -