4D cardiac segmentation of the epicardium and left ventricle

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

Externe Organisationen

  • Northeastern University
  • University of Utah
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksWorld Congress on Medical Physics and Biomedical Engineering
UntertitelImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Seiten2004-2007
Seitenumfang4
Auflage4
PublikationsstatusVeröffentlicht - 2009
VeranstaltungWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Deutschland
Dauer: 7 Sept. 200912 Sept. 2009

Publikationsreihe

NameIFMBE Proceedings
Nummer4
Band25
ISSN (Print)1680-0737

Abstract

We present an efficient pipeline for the segmentation and tracking of the Epicardium (Epi) and Left Ventricle (LV) from a set of 3D cardiac MRI sequences. The surface structure is handled as an array of planar active contours, interconnected between adjacent slices and frames, providing spatial and temporal consistency. In a given cardiac phase, the stacking of slice contours constitute a 3D mesh with a cylindrical topology. In a first stage the heart region is automatically localized by making use of the time variance of the heart region. Extraction of heart border is performed by means of energy minimization. Finally, we construct a 3D tensor array from all time surfaces in cylindrical coordinates and time and space consistency of the segmentation is enforced by fitting an m-variate tensor smoothing spline to the final 3D array.

ASJC Scopus Sachgebiete

Zitieren

4D cardiac segmentation of the epicardium and left ventricle. / Pons-Moll, Gerard; Tadmor, G.; MacLeod, R. S. et al.
World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4. Aufl. 2009. S. 2004-2007 (IFMBE Proceedings; Band 25, Nr. 4).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Pons-Moll, G, Tadmor, G, MacLeod, RS, Rosenhahn, B & Brooks, DH 2009, 4D cardiac segmentation of the epicardium and left ventricle. in World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4 Aufl., IFMBE Proceedings, Nr. 4, Bd. 25, S. 2004-2007, World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, Munich, Deutschland, 7 Sept. 2009. https://doi.org/10.1007/978-3-642-03882-2_532
Pons-Moll, G., Tadmor, G., MacLeod, R. S., Rosenhahn, B., & Brooks, D. H. (2009). 4D cardiac segmentation of the epicardium and left ventricle. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics (4 Aufl., S. 2004-2007). (IFMBE Proceedings; Band 25, Nr. 4). https://doi.org/10.1007/978-3-642-03882-2_532
Pons-Moll G, Tadmor G, MacLeod RS, Rosenhahn B, Brooks DH. 4D cardiac segmentation of the epicardium and left ventricle. in World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4 Aufl. 2009. S. 2004-2007. (IFMBE Proceedings; 4). doi: 10.1007/978-3-642-03882-2_532
Pons-Moll, Gerard ; Tadmor, G. ; MacLeod, R. S. et al. / 4D cardiac segmentation of the epicardium and left ventricle. World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4. Aufl. 2009. S. 2004-2007 (IFMBE Proceedings; 4).
Download
@inproceedings{9f6fa9a22f984ff3935140cc7fb057dc,
title = "4D cardiac segmentation of the epicardium and left ventricle",
abstract = "We present an efficient pipeline for the segmentation and tracking of the Epicardium (Epi) and Left Ventricle (LV) from a set of 3D cardiac MRI sequences. The surface structure is handled as an array of planar active contours, interconnected between adjacent slices and frames, providing spatial and temporal consistency. In a given cardiac phase, the stacking of slice contours constitute a 3D mesh with a cylindrical topology. In a first stage the heart region is automatically localized by making use of the time variance of the heart region. Extraction of heart border is performed by means of energy minimization. Finally, we construct a 3D tensor array from all time surfaces in cylindrical coordinates and time and space consistency of the segmentation is enforced by fitting an m-variate tensor smoothing spline to the final 3D array.",
keywords = "Active contour, Cardiac segmentation, Tracking",
author = "Gerard Pons-Moll and G. Tadmor and MacLeod, {R. S.} and Bodo Rosenhahn and Brooks, {D. H.}",
year = "2009",
doi = "10.1007/978-3-642-03882-2_532",
language = "English",
isbn = "9783642038815",
series = "IFMBE Proceedings",
number = "4",
pages = "2004--2007",
booktitle = "World Congress on Medical Physics and Biomedical Engineering",
edition = "4",
note = "World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics ; Conference date: 07-09-2009 Through 12-09-2009",

}

Download

TY - GEN

T1 - 4D cardiac segmentation of the epicardium and left ventricle

AU - Pons-Moll, Gerard

AU - Tadmor, G.

AU - MacLeod, R. S.

AU - Rosenhahn, Bodo

AU - Brooks, D. H.

PY - 2009

Y1 - 2009

N2 - We present an efficient pipeline for the segmentation and tracking of the Epicardium (Epi) and Left Ventricle (LV) from a set of 3D cardiac MRI sequences. The surface structure is handled as an array of planar active contours, interconnected between adjacent slices and frames, providing spatial and temporal consistency. In a given cardiac phase, the stacking of slice contours constitute a 3D mesh with a cylindrical topology. In a first stage the heart region is automatically localized by making use of the time variance of the heart region. Extraction of heart border is performed by means of energy minimization. Finally, we construct a 3D tensor array from all time surfaces in cylindrical coordinates and time and space consistency of the segmentation is enforced by fitting an m-variate tensor smoothing spline to the final 3D array.

AB - We present an efficient pipeline for the segmentation and tracking of the Epicardium (Epi) and Left Ventricle (LV) from a set of 3D cardiac MRI sequences. The surface structure is handled as an array of planar active contours, interconnected between adjacent slices and frames, providing spatial and temporal consistency. In a given cardiac phase, the stacking of slice contours constitute a 3D mesh with a cylindrical topology. In a first stage the heart region is automatically localized by making use of the time variance of the heart region. Extraction of heart border is performed by means of energy minimization. Finally, we construct a 3D tensor array from all time surfaces in cylindrical coordinates and time and space consistency of the segmentation is enforced by fitting an m-variate tensor smoothing spline to the final 3D array.

KW - Active contour

KW - Cardiac segmentation

KW - Tracking

UR - http://www.scopus.com/inward/record.url?scp=77950142288&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-03882-2_532

DO - 10.1007/978-3-642-03882-2_532

M3 - Conference contribution

AN - SCOPUS:77950142288

SN - 9783642038815

T3 - IFMBE Proceedings

SP - 2004

EP - 2007

BT - World Congress on Medical Physics and Biomedical Engineering

T2 - World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics

Y2 - 7 September 2009 through 12 September 2009

ER -

Von denselben Autoren