title: Medical image computing in diagnosis and intervention of spinal diseases.
abstract: Spinal image analysis and computer assisted intervention have emerged as new and independent research areas, due to the importance of treatment of spinal diseases, increasing availability of spinal imaging, and advances in analytics and navigation tools. Among others, multiple modality spinal image analysis and spinal navigation tools have emerged as two keys in this new area. We believe that further focused research in these two areas will lead to a much more efficient and accelerated research path, avoiding detours that exist in other applications, such as in brain and heart.
authors.affiliation: Institute for Surgical Technology and Biomechanics (ISTB), The University of Bern, Stauffacherstrasse 78, 3014 Bern, Switzerland.
authors.forename: Guoyan
authors.initials: G
authors.lastname: Zheng
authors.affiliation: The University of Western Ontario, London, ON, Canada; The Digital Imaging Group of London, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada. Electronic address: sli287@uwo.ca.
authors.forename: Shuo
authors.initials: S
authors.lastname: Li
mesh_terms: D006801:Humans; D007089:Image Enhancement / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D064847:Multimodal Imaging / Q000379:methods; D056888:Patient Positioning / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013122:Spinal Diseases / Q000175:diagnosis* / Q000628:therapy*; D013131:Spine / Q000000981:diagnostic imaging* / Q000473:pathology*; D025321:Surgery, Computer-Assisted; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Computer assisted intervention; Medical image computing; Multiple modality spine image analysis; Spinal navigation; Spine