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发帖数: 48 | 1 Computerized Medical Imaging and Graphics (CMIG)
Special Issue on Computational Methods and Clinical Applications for Spine
Imaging
Call for Papers
Guest editors:
Jianhua Yao (National Institutes of Health)
Email: j**[email protected]
http://www.cc.nih.gov/drd/staff/jianhua_yao.html
Tobias Klinder (Philips Research)
Email: t************[email protected]
Aly A. Farag (University of Louisville)
Email: a*******[email protected]
Webpage: http://www.cvip.uofl.edu
Shuo Li (GE Healthcare & University of Western Ontario)
Email: S*****[email protected]
Webpage: http://dig.lhsc.on.ca/members/shuo.php
Clinical Advisory Board:
Dr. Gregory J. Garvin, M.D., Radiologist, St. Joseph's Health Care, London,
Ontario
Dr. KengYeow Tay, M.D, Radiologist, Victorial Hosptial, 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
Dataset Available:
The digital imaging group of London is providing 10 pairs of spinal CT and
MRI. Each pair of CT and MR is from same subject. The use of this dataset is
optional. Interested authors can submit a request via:
http://dig.lhsc.on.ca/contact.php
Scope:
The spine represents both a vital central axis 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,
imaging is often required to help make the diagnosis. Frequently obtained
studies include plain radiographs, DXA, bone scans, CT, and MR.
Computational 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:
• Clinical applications of spine imaging
• Computer Aided Diagnosis of spine conditions
• Computer Aided Detection of spine-related diseases
• Emerging computational imaging techniques for spinal diseases
• Fast 3D reconstruction of spine
• Feature extraction, multiscale analysis, pattern recognition
• Image enhancement of spine imaging
• Image-guided spine intervention and treatment
• Multimodal image registration and fusion for spine imaging
• Novel visualization techniques
• Segmentation techniques for spine imaging
• Statistical and geometric modeling for spine and vertebra
• Spine and vertebra localization
Timeline:
Submission of manuscripts: Nov. 15, 2013
First Review done: Feb. 1, 2014
Submission of revised manuscripts: March 1, 2014
Publication date: TBD |
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