Computer-assisted Visualization of Arteriovenous Malformations on the Home Personal Computer
- 1 March 2001
- journal article
- research article
- Published by Wolters Kluwer Health in Neurosurgery
- Vol. 48 (3) , 576-583
- https://doi.org/10.1097/00006123-200103000-00024
Abstract
Arteriovenous malformations (AVMs) are difficult lesions to treat, partly because it is difficult to formulate a three-dimensional mental image of the nidus and its supplying arteries, draining veins, and arteries of passage. Our purpose is to develop personal computer software that allows better visualization of complex, three-dimensional, connected vascular anatomy for surgical planning. Vessels are defined from magnetic resonance angiograms and are symbolically linked to form vascular trees. The nidus of the AVM is also defined by magnetic resonance angiography. These representations of the nidus and vasculature can be viewed together in a software program that allows the user to color-code groups of vessels or to selectively turn connected groups of vessels “off” to avoid obscuring the part of the image that the user wants to observe. Structures can be viewed from any angle. The vessels can also be shown intersecting any magnetic resonance angiogram slice or superimposed upon digital subtraction angiograms obtained from the same patient. We report results from two patients with AVMs in which our representations were compared with the findings during surgery. Our three-dimensional vascular trees correctly depicted the relationship of the nidus to feeding vessels in three dimensions. We show findings in an additional, unoperated patient for whom vessel trees were created from three-dimensional digital subtraction angiography data and compared with a volume rendering of the original data set. Computer-assisted, three-dimensional visualizations of complex vascular anatomy can be helpful in planning the surgical excision of AVMs. Software programs that produce these images can provide important information that is difficult to obtain by traditional techniques. This imaging method is also applicable to guidance of endovascular procedures and removal of complex tumors.Keywords
This publication has 8 references indexed in Scilit:
- Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume dataPublished by Springer Nature ,2005
- Registration of 3D cerebral vessels with 2D digital angiograms: Clinical evaluationAcademic Radiology, 1999
- Statistical 3D Vessel Segmentation Using a Rician DistributionPublished by Springer Nature ,1999
- Quantitation of Vessel Morphology from 3D MRAPublished by Springer Nature ,1999
- Interactive Segmentation with Intelligent ScissorsGraphical Models and Image Processing, 1998
- Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical imagesMedical Image Analysis, 1998
- 3D/2D registration via skeletal near projective invariance in tubular objectsPublished by Springer Nature ,1998
- Analysis of MR angiography volume data leading to the structural description of the cerebral vessel treePublished by Springer Nature ,1993