This book is instrumental to building a bridge between scientists and clinicians in the field
of spine imaging by introducing state-of-the-art computational methods in the context of
clinical applications. Spine imaging via computed tomography magnetic resonance imaging and
other radiologic imaging modalities is essential for noninvasively visualizing and assessing
spinal pathology. Computational methods support and enhance the physician's ability to utilize
these imaging techniques for diagnosis non-invasive treatment and intervention in clinical
practice.Chapters cover a broad range of topics encompassing radiological imaging modalities
clinical imaging applications for common spine diseases image processing computer-aided
diagnosis quantitative analysis data reconstruction and visualization statistical modeling
image-guided spine intervention and robotic surgery.This volume serves a broad audience as
contributions were written by both clinicians and researchers which reflects the intended
readership as well being a potentially comprehensive book for all spine related clinicians
technicians scientists and graduate students.
