Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration
Author(s)
Type
Journal Article
Date Issued
2015-12-01
ISSN
1361-8415
Publisher
ELSEVIER SCIENCE BV
Start Page
332
End Page
344
Journal / Book Title
MEDICAL IMAGE ANALYSIS
Volume
26
Issue
1
Copyright Statement
© 2015 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000367490800026&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Computer Science, Artificial Intelligence
Computer Science, Interdisciplinary Applications
Engineering, Biomedical
Radiology, Nuclear Medicine & Medical Imaging
Computer Science
Engineering
Statistical shape modelling
Organ motion
Tissue deformation
Kernel regression
Image registration
NONRIGID REGISTRATION
SHAPE MODELS
FUSION
BIOPSY
INTERVENTIONS
CONSTRUCTION
GUIDANCE
Computer Simulation
Humans
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Male
Models, Anatomic
Multimodal Imaging
Patient-Specific Modeling
Pattern Recognition, Automated
Prostate
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique
Ultrasonography
09 Engineering
11 Medical And Health Sciences
Nuclear Medicine & Medical Imaging
Publication Status
Published
