Graph-matching-based computed tomography angiography in peripheral arterial occlusive disease.

Submitted by king4icm on Mon, 01/19/2015 - 14:02
TitleGraph-matching-based computed tomography angiography in peripheral arterial occlusive disease.
Publication TypeJournal Article
Year of Publication2010
AuthorsBrockmann, C, Jochum, S, Hesser, J, Maksimov, D, Schnitzer, A, Weiss, C, Diezler, P, Schoenberg, SO, Diehl, S
JournalClinical imaging
Volume34
Pagination367–74
ISSN1873-4499
Keywords80 and over, Aged, Angiography, Angiography: methods, Computer-Assisted, Computer-Assisted: methods, Contrast Media, Contrast Media: diagnostic use, Digital Subtraction, Digital Subtraction: methods, Female, Humans, Image Processing, Imaging, Iohexol, Iohexol: analogs & derivatives, Iohexol: diagnostic use, Male, Middle Aged, Observer Variation, Peripheral Arterial Disease, Peripheral Arterial Disease: radiography, Prospective Studies, Radiographic Image Enhancement, Radiographic Image Enhancement: methods, Reproducibility of Results, Sensitivity and Specificity, Software, Three-Dimensional, Three-Dimensional: methods, Tomography, X-Ray Computed, X-Ray Computed: methods
Abstract

The objective of this study is to compare a graph-matching-based software and a conventional tool for postprocessing of computed tomography angiography (CTA) in correlation with the gold standard digital subtraction angiography. Sensitivity, specificity, accuracy, and interobserver agreement increased from 80.3% to 92.9%, from 69.1% to 92.4%, from 73.5% to 92.8%, and from 0.45 to 0.96, respectively, using the graph-matching-based technique. Graph-matching-based CTA increases sensitivity, specificity, accuracy, and interobserver agreement in comparison to a conventional bone elimination tool in the assessment of peripheral arterial occlusive disease.
URLhttp://www.ncbi.nlm.nih.gov/pubmed/20813301
DOI10.1016/j.clinimag.2009.10.034
Citation Key Brockmann2010
PubMed ID20813301