Paper Info
Title
MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention.
Abstract
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.
Year
DOI
Venue
2016
10.1007/978-3-319-46630-9_16
Lecture Notes in Computer Science
DocType
Volume
ISSN
Conference
9968
0302-9743
Citations 
PageRank 
References 
2
0.38
10
Authors
6
Name
Order
Citations
PageRank
John A. Onofrey1236.16
Ilkay Öksüz2549.32
Saradwata Sarkar361.46
Rajesh Venkataraman461.46
Lawrence H. Staib552663.63
Xenophon Papademetris624816.31