Titlebook: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging; Jianhua Yao,Ben Glocker,Shuo Li Book 2015 Springer I

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An Active Optical Flow Model for Dose Prediction in Spinal SBRT Planseatment plans that maximally protect spinal cord while effectively controlling surrounding tumors. Spinal cord dose distribution is primarily affected by the shapes of tumor boundaries near the organ. In this work, we estimate such boundary effects and predict dose distribution by exploring an activ

Perigee

doxazosin

Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data atlas-based registration for achieving an accurate segmentation of the thoracic and the lumbar vertebrae in the spine as imaged by computed tomography. The method has been evaluated on ten data sets provided as a part of the segmentation challenge hosted by the 2nd MICCAI workshop on Computational

揭穿真相

Segmentation of Lumbar Vertebrae Slices from CT Imagesndom field model incorporating constraints learned from labelled superpixel features. The method is shown to provide consistently accurate segmentations of different vertebrae from a variety of subjects.

微粒

overrule

An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Immical complexity and articulation of spinal structures, as well as due to image spatial resolution, inhomogeneity and low signal-to-noise ratio. In this paper, we describe an improved framework for vertebra segmentation that is based on an existing shape-constrained deformable model, which was modif

不如樂死去

considerable

Automatic Segmentation of the Spinal Cord Using Continuous Max Flow with Cross-sectional Similarity ation-specific segmentation techniques have been proposed in the literature, but only few of them are fully automatic and even fewer approaches maintain a convex formulation. In this paper, we show how to integrate a cross-sectional similarity prior into the convex continuous max-flow framework that

Cerebrovascular

Automated Radiological Grading of Spinal MRI2 MRI scans. It involves detecting and labeling all the vertebrae in the scan and then learning a regression from the disc region to the grading. In developing the regression function we investigate a spectrum of support regions which involve differing degrees of segmentation of the scan: our intent

Muscularis

Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Setshe geometrical parameters of all lumbar vertebral bodies and intervertebral discs are automatically extracted from a mid-sagittal slice using a graphical model based approach. After that, a three-dimensional (3D) variable-radius soft tube model of the lumbar spine column is built to guide the 3D dis