(:toc:)
Special Issue on Spine Imaging, Image-based Modeling, and Image Guided Intervention
Spine is one of the utmost important multifunctional structures in the human body. It provides physical support with great flexibility to the upper body. It governs the instantaneous reflex action and conveys neural signals transmitting between the brain and the majority of the body. Due to the wide diversity of functions that the spine serves, spine disorders trigger various and severe problems which considerably reduce patients¡¦ living quality, and cause a huge burden of morbidity and financial cost to society. Spine imaging is increasingly important in diagnosis, detection, prognosis, intervention, therapy, and treatment of spine related diseases or conditions. Current modalities used on spine include all existing and emerging imaging (e.g. hybrid imaging) modalities. This field starts to attract numerous applications in a wide spectrum, from image acquisition and image analysis to image guided intervention. This special issue is intended to highlight the state-of-the-art, emerging challenges, and innovative approaches in spine imaging, image analysis, and image guided intervention. Suggested topics include but are not limited to:
Submission of manuscripts: July 15, 2014
First acceptance/rejection notification: October 1, 2014
Revised manuscripts due: December 1, 2014
Final acceptance/rejection notification: February 1, 2015
Publication of Special Issue: TBD
Shuo Li, PhD
GE Healthcare & Western University
London, Ontario, Canada
Email: Shuo.Li@ge.com
Web: http://digitalimaginggroup.ca/members/shuo.php
Phone: +1(519)317-8922
Jianhua Yao, PhD
National Institutes of Health
Email: jyao@cc.nih.gov
Web: http://www.cc.nih.gov/drd/staff/jianhua_yao.html
Phone: +1(301)402-3225
Nassir Navab, PhD
TU Munich & Johns Hopkins University
Garching, Munich, Germany
Email: nassir.navab@tum.de
Web: http://campar.in.tum.de/Main/NassirNavab
Phone: +49(89)289-17058
Special Issue on Computational Methods and Clinical Applications for Spine Imaging
The spine represents both a vital central acis for the musculoskeletal system and a flexible protective shell surrounding the most important neural pathway in the body, the spinal cord. Spinal disease is common and causes a huge burden of morbidity and cost to society. Examples include degenerative disc disease, spinal stenosis, scoliosis, fracture, ligamentous injury, infection, tumour, and spondyloarthropathy. Treatment varies with the disease entity and the clinical scenario can be nonspecific. As a result, imagin is often required to help make the diagnosis. Frequently obtained studies include plain radiographs, DXA, bone scans, CT and MR. Computation methods play a steadily increasing role in improving speed, confidence, and accuracy in reaching a final diagnosis. For this special issue, we invite authors to submit original research papers or high- quality review articles on a wide range of topics including, but not limited to:
Submission of manuscripts: November 15, 2013
First Review done: February 1, 2014
Submission of revised manuscripts: March 1, 2014
Publication date: TBD
Jianhua Yao (National Institutes of Health)
Email: jyao@cc.nih.gov
Web: http://www.cc.nih.gov/drd/staff/jianhua_yao.html
Tobias Klinder (Philips Research)
Email: tobias.klinder@philips.com
Aly A. Farag (University of Louisville)
Email: aly.farag@louisville.edu
Web: http://www.cvip.uofl.edu
Shuo Li (GE Healthcare & University of Western Ontario)
Email: Shuo.Li@ge.com
Web: http://digitalimaginggroup.ca/members/shuo.php
Dr. Gregory J.Garvin, M.D., Radiologist
St. Joseph's Health Care, London, Ontario
Dr. KengYeow Tay, M.D., Radiologist
Victoria Hospital, London, Ontario
Dr. Joseph E.Burns, MD PhD, Radiologist
Department of Radiological Sciences, University of California, Irvine, School of Medicine
Dr. Summers, MD, PhD, Radiologist
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health