Title :
Extraction of vascular network in 3D images
Author :
Prinet, Véeronique ; Monga, Olivier ; Ma, Songde
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
Abstract :
Thin network extraction from three dimensional (3D) images is a new issue in image processing. It is of major importance in medical vascular imaging for diagnostics, therapy planning and surgery. Here, the authors develop a framework for automatic vascular network extraction from the volumic image. The approach consists in treating the 3D image as a hyper-surface of IR4. It is shown that the crest points of this hyper-surface correspond to the center line of the thin network in the image. Promising results are shown on synthetic and real vascular images
Keywords :
biomedical NMR; computerised tomography; feature extraction; medical image processing; IR4; MRI; crest points; hyper-surface; medical diagnostic imaging; medical vascular imaging; real vascular images; spiral CT; surgery; synthetic vascular images; therapy planning; thin network; vascular network extraction; volumic image; Anatomical structure; Biomedical imaging; Data mining; Image retrieval; Intelligent networks; Laboratories; Pattern recognition; Shape; Space technology; Surface treatment;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560491
