Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization

12/14/2020
by   Fakai Wang, et al.
0

Accurate vertebra localization and identification are required in many clinical applications of spine disorder diagnosis and surgery planning. However, significant challenges are posed in this task by highly varying pathologies (such as vertebral compression fracture, scoliosis, and vertebral fixation) and imaging conditions (such as limited field of view and metal streak artifacts). This paper proposes a robust and accurate method that effectively exploits the anatomical knowledge of the spine to facilitate vertebra localization and identification. A key point localization model is trained to produce activation maps of vertebra centers. They are then re-sampled along the spine centerline to produce spine-rectified activation maps, which are further aggregated into 1-D activation signals. Following this, an anatomically-constrained optimization module is introduced to jointly search for the optimal vertebra centers under a soft constraint that regulates the distance between vertebrae and a hard constraint on the consecutive vertebra indices. When being evaluated on a major public benchmark of 302 highly pathological CT images, the proposed method reports the state of the art identification (id.) rate of 97.4 of 94.7

READ FULL TEXT

page 1

page 3

page 7

page 8

research
05/17/2017

Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

Automatic localization and labeling of vertebra in 3D medical images pla...
research
07/24/2023

Multi-View Vertebra Localization and Identification from CT Images

Accurately localizing and identifying vertebrae from CT images is crucia...
research
11/17/2017

Thoracic Disease Identification and Localization with Limited Supervision

Accurate identification and localization of abnormalities from radiology...
research
09/29/2020

Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks

This paper presents a method for automatic segmentation, localization, a...
research
12/14/2018

Single molecule localization by ℓ_2-ℓ_0 constrained optimization

Single Molecule Localization Microscopy (SMLM) enables the acquisition o...
research
04/12/2020

Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization

Dental panoramic X-ray imaging is a popular diagnostic method owing to i...
research
10/23/2021

Vertebrae segmentation, identification and localization using a graph optimization and a synergistic cycle

This paper considers the segmentation, identification and localization o...

Please sign up or login with your details

Forgot password? Click here to reset