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New techniques in CT angiography

: Lell, M.M.; Anders, K.; Uder, M.; Klotz, E.; Ditt, H.; Vega-Higuera, F.; Boskamp, T.; Bautz, W.A.; Tomandl, B.F.


Radiographics : RG 26 (2006), Supplement 1, pp.S45-S62
ISSN: 0271-5333
ISSN: 1527-1323
Journal Article
Fraunhofer MEVIS ()
algorithm; analysis; angiography; artificial intelligence; CT; disease; human; instrumentation; method; radiographic image enhancement; radiographic image interpretation; computer-assisted; research; review; segmentation; tomography; x-ray computed; trend; vessel analysis

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.