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Titolo:
Symbolic description of intracerebral vessels segmented from magnetic resonance angiograms and evaluation by comparison with X-ray angiograms
Autore:
Bullitt, E; Aylward, S; Smith, K; Mukherji, S; Jiroutek, M; Muller, K;
Indirizzi:
Univ N Carolina, Div Neurosurg, Med Image Display & Anal Grp, Chapel Hill,NC 27599 USA Univ N Carolina Chapel Hill NC USA 27599 al Grp, Chapel Hill,NC 27599 USA
Titolo Testata:
MEDICAL IMAGE ANALYSIS
fascicolo: 2, volume: 5, anno: 2001,
pagine: 157 - 169
SICI:
1361-8415(200106)5:2<157:SDOIVS>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Soggetto:
3-DIMENSIONAL RECONSTRUCTION; PROJECTION VIEWS; VASCULAR TREES; REGISTRATION; CURVES; PAIRS; ERROR; MRA;
Keywords:
magnetic resonance angiography; digital subtraction angiography; registration; segmentation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
37
Recensione:
Indirizzi per estratti:
Indirizzo: Bullitt, E Univ N Carolina, Div Neurosurg, Med Image Display & Anal Grp, CB 7060,148 Burnett Womack, Chapel Hill, NC 27599 USA Univ N Carolina CB 7060,148 Burnett Womack Chapel Hill NC USA 27599
Citazione:
E. Bullitt et al., "Symbolic description of intracerebral vessels segmented from magnetic resonance angiograms and evaluation by comparison with X-ray angiograms", MED IMAGE A, 5(2), 2001, pp. 157-169

Abstract

We describe and evaluate methods that create detailed vessel trees by linking vessels that have been segmented from magnetic resonance angiograms (MRA). The tree-definition process can automatically exclude erroneous vessel segmentations. The parent-child connectivity information provided by our vessel trees is important to both surgical planning and to guidance of endovascular procedures. We evaluated the branch connection accuracy of our 3D vessel trees by asking two neuroradiologists to evaluate 140 parent-child connections comprising seven vascular trees against 17 digital subtraction angiography (DSA) views. Each reviewer rated each connection as (1) Correct, (2) Incorrect, (3) Partially correct (a minor error without clinical significance), or (4) Indeterminate. Analysis was summarized for each evaluator bycalculating 95% confidence intervals for both the proportion completely correct and the proportion clinically acceptable (completely or partially correct). In order to protect the overall Type I error rate, alpha-splitting was done using a top down strategy. We additionally evaluated segmentation completeness by examining each slice in 11 MRA datasets in order to determine unlabeled vessels identifiable in cross-section following segmentation. Results indicate that only one vascular parent-child connection was judged incorrect by both reviewers. MRA segmentations appeared complete within MRA resolution limits. We conclude that our methods permit creation of detailedvascular trees from segmented 3D image data. We review the literature and compare other approaches to our own. We provide examples of clinically useful visualizations enabled by our methodology and taken from a visualizationprogram now in clinical use. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/10/20 alle ore 12:54:05