Titlebook: Computational Methods and Clinical Applications for Spine Imaging; Proceedings of the W Jianhua Yao,Tobias Klinder,Shuo Li Conference proce

prodrome

SLAY

A Robust Segmentation Framework for Spine Trauma Diagnosis shape boundaries, the Willmore energy helps to capture the detail shape and curvature information of the vertebrae. Experiment on CT images of normal and fractured spinal vertebrae demonstrate promising results in 3D segmentation.

朦朧

2D-PCA Based Tensor Level Set Framework for Vertebral Body Segmentation various Gaussian noise levels. The experimental results show that the noise immunity and the segmentation accuracy of our framework are much higher than scalar level sets approaches. Additionally, the construction of the shape model using 2D-PCA is computationally more efficient than PCA.

pulmonary

饑荒

Quantitative Monitoring of Syndesmophyte Growth in Ankylosing Spondylitis Using Computed Tomographystudies of syndesmophyte development and growth. After one year, the 3D algorithm showed an increase in syndesmophyte volume in 75?% of patients, while radiography showed an increase in only 15?% of patients.

LUDE

來這真柔軟

Segmentation of Lumbar Intervertebral Discs from High-Resolution 3D MR Images Using Multi-level State obtained with the multi-level model were significantly better than those obtained with the traditional shape model. These initial results warrant further investigation of potential benefits that the multi-level statistical shape models can have in spine image analysis.

骨

FORGO

Anthrp