Source:http://linkedlifedata.com/resource/pubmed/id/17050518
Switch to
Predicate | Object |
---|---|
rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2006-10-19
|
pubmed:abstractText |
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.
|
pubmed:language |
eng
|
pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Oct
|
pubmed:issn |
1527-1323
|
pubmed:author | |
pubmed:copyrightInfo |
.(c) RSNA, 2006.
|
pubmed:issnType |
Electronic
|
pubmed:volume |
26 Suppl 1
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
S45-62
|
pubmed:meshHeading |
pubmed-meshheading:17050518-Algorithms,
pubmed-meshheading:17050518-Angiography,
pubmed-meshheading:17050518-Artificial Intelligence,
pubmed-meshheading:17050518-Humans,
pubmed-meshheading:17050518-Radiographic Image Enhancement,
pubmed-meshheading:17050518-Radiographic Image Interpretation, Computer-Assisted,
pubmed-meshheading:17050518-Tomography, X-Ray Computed
|
pubmed:year |
2006
|
pubmed:articleTitle |
New techniques in CT angiography.
|
pubmed:affiliation |
Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, USA. michael.lell@idr.imed.uni-erlangen.de
|
pubmed:publicationType |
Journal Article,
Review,
Research Support, Non-U.S. Gov't
|