| Literature DB >> 17050518 |
Michael M Lell1, Katharina Anders, Michael Uder, Ernst Klotz, Hendrik Ditt, Fernando Vega-Higuera, Tobias Boskamp, Werner A Bautz, Bernd F Tomandl.
Abstract
Computed tomographic (CT) angiography has been improved significantly with the introduction of four- to 64-section spiral CT scanners, which offer rapid acquisition of isotropic data sets. A variety of techniques have been proposed for postprocessing of the resulting images. The most widely used techniques are multiplanar reformation (MPR), thin-slab maximum intensity projection, and volume rendering. Sophisticated segmentation algorithms, vessel analysis tools based on a centerline approach, and automatic lumen boundary definition are emerging techniques; bone removal with thresholding or subtraction algorithms has been introduced. These techniques increasingly provide a quality of vessel analysis comparable to that achieved with intraarterial three-dimensional rotational angiography. Neurovascular applications for these various image postprocessing methods include steno-occlusive disease, dural sinus thrombosis, vascular malformations, and cerebral aneurysms. However, one should keep in mind the potential pitfalls of these techniques and always double-check the final results with source or MPR imaging. .(c) RSNA, 2006.Entities:
Mesh:
Year: 2006 PMID: 17050518 DOI: 10.1148/rg.26si065508
Source DB: PubMed Journal: Radiographics ISSN: 0271-5333 Impact factor: 5.333