New Techniques in CT Angiography
Author(s) -
Michael Lell,
Katharina Anders,
Michael Uder,
Ernst Klotz,
Hendrik Ditt,
Fernando Vega-Higuera,
Tobias Boskamp,
W Bautz,
Bernd Tomandl
Publication year - 2006
Publication title -
radiographics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.866
H-Index - 172
eISSN - 1527-1323
pISSN - 0271-5333
DOI - 10.1148/rg.26si065508
Subject(s) - medicine , volume rendering , maximum intensity projection , angiography , neurovascular bundle , radiology , rotational angiography , segmentation , subtraction , artificial intelligence , computer vision , rendering (computer graphics) , computer science , surgery , arithmetic , mathematics
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.
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