Real-time myocardium segmentation for the assessment of cardiac function variation

Fabian Zoehrer; Markus Huellebrand; Teodora Chitiboi; Thekla Oechtering; Malte Sieren; Jens Frahm; Horst K. Hahn; Anja Hennemuth

doi:10.1117/12.2254373

Real-time myocardium segmentation for the assessment of cardiac function variation

Fabian Zoehrer^*, Markus Huellebrand, Teodora Chitiboi, Thekla Oechtering, Malte Sieren, Jens Frahm, Horst K. Hahn, Anja Hennemuth

^*Korrespondierende/r Autor/-in für diese Arbeit

2 Zitate (Scopus)

Abstract

Recent developments in MRI enable the acquisition of image sequences with high spatio-temporal resolution. Cardiac motion can be captured without gating and triggering. Image size and contrast relations differ from conventional cardiac MRI cine sequences requiring new adapted analysis methods. We suggest a novel segmentation approach utilizing contrast invariant polar scanning techniques. It has been tested with 20 datasets of arrhythmia patients. The results do not differ significantly more between automatic and manual segmentations than between observers. This indicates that the presented solution could enable clinical applications of real-time MRI for the examination of arrhythmic cardiac motion in the future.

Originalsprache	Englisch
Titel	Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Redakteure/-innen	Andrzej Krol, Barjor Gimi
Seitenumfang	7
Band	10137
Herausgeber (Verlag)	SPIE
Erscheinungsdatum	13.03.2017
Aufsatznummer	101370L
ISBN (Print)	978-151060719-4
DOIs	https://doi.org/10.1117/12.2254373
Publikationsstatus	Veröffentlicht - 13.03.2017
Veranstaltung	Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling - Orlando, USA / Vereinigte Staaten Dauer: 14.02.2017 → 16.02.2017

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Forschungsschwerpunkt: Biomedizintechnik

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2.22-30 Radiologie
2.22-12 Kardiologie, Angiologie

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10.1117/12.2254373

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Zoehrer, F., Huellebrand, M., Chitiboi, T., Oechtering, T., Sieren, M., Frahm, J., Hahn, H. K., & Hennemuth, A. (2017). Real-time myocardium segmentation for the assessment of cardiac function variation. in A. Krol, & B. Gimi (Hrsg.), Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging (Band 10137). Artikel 101370L (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Band 10137). SPIE. https://doi.org/10.1117/12.2254373

Zoehrer, Fabian ; Huellebrand, Markus ; Chitiboi, Teodora et al. / Real-time myocardium segmentation for the assessment of cardiac function variation. Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging. Hrsg. / Andrzej Krol ; Barjor Gimi. Band 10137 SPIE, 2017. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

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title = "Real-time myocardium segmentation for the assessment of cardiac function variation",

abstract = "Recent developments in MRI enable the acquisition of image sequences with high spatio-temporal resolution. Cardiac motion can be captured without gating and triggering. Image size and contrast relations differ from conventional cardiac MRI cine sequences requiring new adapted analysis methods. We suggest a novel segmentation approach utilizing contrast invariant polar scanning techniques. It has been tested with 20 datasets of arrhythmia patients. The results do not differ significantly more between automatic and manual segmentations than between observers. This indicates that the presented solution could enable clinical applications of real-time MRI for the examination of arrhythmic cardiac motion in the future.",

author = "Fabian Zoehrer and Markus Huellebrand and Teodora Chitiboi and Thekla Oechtering and Malte Sieren and Jens Frahm and Hahn, \{Horst K.\} and Anja Hennemuth",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling ; Conference date: 14-02-2017 Through 16-02-2017",

year = "2017",

month = mar,

day = "13",

doi = "10.1117/12.2254373",

language = "English",

isbn = "978-151060719-4",

volume = "10137",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

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booktitle = "Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging",

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Zoehrer, F, Huellebrand, M, Chitiboi, T, Oechtering, T , Sieren, M, Frahm, J, Hahn, HK & Hennemuth, A 2017, Real-time myocardium segmentation for the assessment of cardiac function variation. in A Krol & B Gimi (Hrsg.), Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging. Bd. 10137, 101370L, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bd. 10137, SPIE, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, Orlando, Florida, USA / Vereinigte Staaten, 14.02.17. https://doi.org/10.1117/12.2254373

Real-time myocardium segmentation for the assessment of cardiac function variation. / Zoehrer, Fabian; Huellebrand, Markus; Chitiboi, Teodora et al.
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging. Hrsg. / Andrzej Krol; Barjor Gimi. Band 10137 SPIE, 2017. 101370L (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Band 10137).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Real-time myocardium segmentation for the assessment of cardiac function variation

AU - Zoehrer, Fabian

AU - Huellebrand, Markus

AU - Chitiboi, Teodora

AU - Oechtering, Thekla

AU - Sieren, Malte

AU - Frahm, Jens

AU - Hahn, Horst K.

AU - Hennemuth, Anja

PY - 2017/3/13

Y1 - 2017/3/13

N2 - Recent developments in MRI enable the acquisition of image sequences with high spatio-temporal resolution. Cardiac motion can be captured without gating and triggering. Image size and contrast relations differ from conventional cardiac MRI cine sequences requiring new adapted analysis methods. We suggest a novel segmentation approach utilizing contrast invariant polar scanning techniques. It has been tested with 20 datasets of arrhythmia patients. The results do not differ significantly more between automatic and manual segmentations than between observers. This indicates that the presented solution could enable clinical applications of real-time MRI for the examination of arrhythmic cardiac motion in the future.

AB - Recent developments in MRI enable the acquisition of image sequences with high spatio-temporal resolution. Cardiac motion can be captured without gating and triggering. Image size and contrast relations differ from conventional cardiac MRI cine sequences requiring new adapted analysis methods. We suggest a novel segmentation approach utilizing contrast invariant polar scanning techniques. It has been tested with 20 datasets of arrhythmia patients. The results do not differ significantly more between automatic and manual segmentations than between observers. This indicates that the presented solution could enable clinical applications of real-time MRI for the examination of arrhythmic cardiac motion in the future.

UR - https://www.scopus.com/pages/publications/85020259664

U2 - 10.1117/12.2254373

DO - 10.1117/12.2254373

M3 - Conference contribution

SN - 978-151060719-4

VL - 10137

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging

A2 - Krol, Andrzej

A2 - Gimi, Barjor

PB - SPIE

T2 - Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling

Y2 - 14 February 2017 through 16 February 2017

ER -

Zoehrer F, Huellebrand M, Chitiboi T, Oechtering T , Sieren M, Frahm J et al. Real-time myocardium segmentation for the assessment of cardiac function variation. in Krol A, Gimi B, Hrsg., Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging. Band 10137. SPIE. 2017. 101370L. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2254373

Real-time myocardium segmentation for the assessment of cardiac function variation

Abstract

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Strategische Forschungsbereiche und Zentren

DFG-Fachsystematik

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