Share This Author
Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2D and 3D medical images
A new multi-scale segmentation technique for line-like structures in 2D and 3D medical images is presented, based on normalized first and second derivatives and on the eigenvector analysis of the hessian matrix, which allows for the estimation of the local diameter, the longitudinal direction and the contrast of the vessel.
Automated model-based vertebra detection, identification, and segmentation in CT images
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
The organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups are detailed.
Automatic Model-Based Segmentation of the Heart in CT Images
The model-based approach for the fully automatic segmentation of the whole heart (four chambers, myocardium, and great vessels) from 3-D CT images shows better interphase and interpatient shape variability characterization than commonly used principal component analysis.
Simultaneous segmentation and tree reconstruction of the airways for virtual bronchoscopy
- Thorsten Schlathoelter, C. Lorenz, I. Carlsen, S. Renisch, T. Deschamps
- Computer ScienceSPIE Medical Imaging
- 9 May 2002
A simultaneous segmentation/skeletonization algorithm is presented that extracts all major airway branches and large parts of the minor distal branches (up to 7th order) using a front propagation approach and allows the full reconstruction of the tracheobronchial tree.
Automated 3-D PDM construction from segmented images using deformable models
- M. Kaus, V. Pekar, C. Lorenz, R. Truyen, S. Lobregt, J. Weese
- Computer ScienceIEEE Transactions on Medical Imaging
- 28 July 2003
A novel method for the automated construction of three-dimensional PDM from segmented images based on a novel deformable model technique is presented and it is demonstrated that the method accurately represents and predicts shapes.
Automatic extraction of the pulmonary artery tree from multi-slice CT data
An automated method is presented for the extraction of the pulmonary vessel tree from multi-slice CT data and a method for the separation of pulmonary arteries from veins is investigated.
An approach to 2D/3D registration of a vertebra in 2D X-ray fluoroscopies with 3D CT images
For this 2D/3D registration task a novel voxel-based method is presented that allows for a much faster implementation and does not require segmentation of the vertebra's contours in the x-ray projection.
A General Framework for Tree Segmentation and Reconstruction from Medical Volume Data
A general framework for the simultaneous segmentation and reconstruction of the arterial system and the airway system is presented and applied to the extraction of coronary arteries from multi detector-row CT data.