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Automatic correction of gaps in cerebrovascular segmentations extracted from 3D time-of-flight MRA datasets.

Standard

Automatic correction of gaps in cerebrovascular segmentations extracted from 3D time-of-flight MRA datasets. / Forkert, Nils; Schmidt-Richberg, A; Fiehler, Jens; Illies, Till; Möller, D; Handels, H; Säring, Dennis.

in: METHOD INFORM MED, Jahrgang 51, Nr. 5, 5, 2012, S. 415-422.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Forkert, N, Schmidt-Richberg, A, Fiehler, J, Illies, T, Möller, D, Handels, H & Säring, D 2012, 'Automatic correction of gaps in cerebrovascular segmentations extracted from 3D time-of-flight MRA datasets.', METHOD INFORM MED, Jg. 51, Nr. 5, 5, S. 415-422. <http://www.ncbi.nlm.nih.gov/pubmed/22935785?dopt=Citation>

APA

Forkert, N., Schmidt-Richberg, A., Fiehler, J., Illies, T., Möller, D., Handels, H., & Säring, D. (2012). Automatic correction of gaps in cerebrovascular segmentations extracted from 3D time-of-flight MRA datasets. METHOD INFORM MED, 51(5), 415-422. [5]. http://www.ncbi.nlm.nih.gov/pubmed/22935785?dopt=Citation

Vancouver

Forkert N, Schmidt-Richberg A, Fiehler J, Illies T, Möller D, Handels H et al. Automatic correction of gaps in cerebrovascular segmentations extracted from 3D time-of-flight MRA datasets. METHOD INFORM MED. 2012;51(5):415-422. 5.

Bibtex

@article{2eaaa3219052410ab26f2b5cf51fcd31,
title = "Automatic correction of gaps in cerebrovascular segmentations extracted from 3D time-of-flight MRA datasets.",
abstract = "Exact cerebrovascular segmentations are required for several applications in today's clinical routine. A major drawback of typical automatic segmentation methods is the occurrence of gaps within the segmentation. These gaps are typically located at small vessel structures exhibiting low intensities. Manual correction is very time-consuming and not suitable in clinical practice. This work presents a post-processing method for the automatic detection and closing of gaps in cerebrovascular segmentations.",
keywords = "Humans, Imaging, Three-Dimensional/*methods, Image Interpretation, Computer-Assisted/*methods, Cerebral Arteries/*radiography, Cerebral Veins/*radiography, *Databases as Topic, Magnetic Resonance Angiography/*standards, Humans, Imaging, Three-Dimensional/*methods, Image Interpretation, Computer-Assisted/*methods, Cerebral Arteries/*radiography, Cerebral Veins/*radiography, *Databases as Topic, Magnetic Resonance Angiography/*standards",
author = "Nils Forkert and A Schmidt-Richberg and Jens Fiehler and Till Illies and D M{\"o}ller and H Handels and Dennis S{\"a}ring",
year = "2012",
language = "English",
volume = "51",
pages = "415--422",
journal = "METHOD INFORM MED",
issn = "0026-1270",
publisher = "Schattauer",
number = "5",

}

RIS

TY - JOUR

T1 - Automatic correction of gaps in cerebrovascular segmentations extracted from 3D time-of-flight MRA datasets.

AU - Forkert, Nils

AU - Schmidt-Richberg, A

AU - Fiehler, Jens

AU - Illies, Till

AU - Möller, D

AU - Handels, H

AU - Säring, Dennis

PY - 2012

Y1 - 2012

N2 - Exact cerebrovascular segmentations are required for several applications in today's clinical routine. A major drawback of typical automatic segmentation methods is the occurrence of gaps within the segmentation. These gaps are typically located at small vessel structures exhibiting low intensities. Manual correction is very time-consuming and not suitable in clinical practice. This work presents a post-processing method for the automatic detection and closing of gaps in cerebrovascular segmentations.

AB - Exact cerebrovascular segmentations are required for several applications in today's clinical routine. A major drawback of typical automatic segmentation methods is the occurrence of gaps within the segmentation. These gaps are typically located at small vessel structures exhibiting low intensities. Manual correction is very time-consuming and not suitable in clinical practice. This work presents a post-processing method for the automatic detection and closing of gaps in cerebrovascular segmentations.

KW - Humans

KW - Imaging, Three-Dimensional/methods

KW - Image Interpretation, Computer-Assisted/methods

KW - Cerebral Arteries/radiography

KW - Cerebral Veins/radiography

KW - Databases as Topic

KW - Magnetic Resonance Angiography/standards

KW - Humans

KW - Imaging, Three-Dimensional/methods

KW - Image Interpretation, Computer-Assisted/methods

KW - Cerebral Arteries/radiography

KW - Cerebral Veins/radiography

KW - Databases as Topic

KW - Magnetic Resonance Angiography/standards

M3 - SCORING: Journal article

VL - 51

SP - 415

EP - 422

JO - METHOD INFORM MED

JF - METHOD INFORM MED

SN - 0026-1270

IS - 5

M1 - 5

ER -