3D reconstruction of the encapsulating contour of arteriovenous malformations for radiosurgery using digital subtraction angiography

Citation
E. Coste et al., 3D reconstruction of the encapsulating contour of arteriovenous malformations for radiosurgery using digital subtraction angiography, INT J RAD O, 50(1), 2001, pp. 247-255
Citations number
26
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Onconogenesis & Cancer Research
Journal title
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
ISSN journal
03603016 → ACNP
Volume
50
Issue
1
Year of publication
2001
Pages
247 - 255
Database
ISI
SICI code
0360-3016(20010501)50:1<247:3ROTEC>2.0.ZU;2-N
Abstract
Purpose: Treatment planning for radiosurgery depends on the precise definit ion of radiation target volumes. For vascular pathologies such as arteriove nous malformations (AVM), the most usual technique remains standard X-ray p rojection imaging, most often carried out under stereotactic conditions. To further benefit from the advantages of two-dimensional digital subtraction angiography (DSA), the authors have developed a method for determining the three-dimensional shape of arteriovenous malformations from two views. Methods and Materials: After correction of image intensifier distortion and calibration of both views, the 3D shape of the AVM was determined from two DSA projections using epipolarity geometry, The AVM-encapsulating contour was modeled by triangulation of a stack of almost parallel ellipses. The me thod was technically validated using artificial targets in a skull phantom, Clinical validation was carried out on 10 patients who were examined using both conventional angiography under stereotactic conditions (SX-ray) and D SA, Results: There was excellent agreement between the artificial target volume s measured with SX-ray and with DSA, The correspondence between AVM volumes found for patients was not as good as with the phantom, Conclusions: The different image characteristics of the two modalities lead to some differences in AVM estimations. However, the results were sufficie ntly satisfactory to justify routine use of this AVM modeling technique for radiosurgery planning. (C) 2001 Elsevier Science Inc.