English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

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

Zoehrer, F., Huellebrand, M., Chitiboi, T., Oechtering, T., Sieren, M., Frahm, J., et al. (2017). Real-time myocardium segmentation for the assessment of cardiac function variation. In A. Krol, & B. Gimi (Eds.), Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging (pp. 101370L-1-101370L-7). Bellingham, Wash.: SPIE. doi:10.1117/12.2254373.

Item is

Files

show Files
hide Files
:
2463474.pdf (Publisher version), 952KB
Name:
2463474.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Zoehrer, F., Author
Huellebrand, M., Author
Chitiboi, T., Author
Oechtering, T., Author
Sieren, M., Author
Frahm, J.1, Author           
Hahn, H. K., Author
Hennemuth, A., Author
Affiliations:
1Biomedical NMR Research GmbH, MPI for biophysical chemistry, Max Planck Society, ou_578634              

Content

show
hide
Free keywords: Myocardium segmentation, real-time MRI, cardiac imaging, heart function analysis, arrhythmia
 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.

Details

show
hide
Language(s): eng - English
 Dates: 2017-03-132017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1117/12.2254373
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Source Genre: Book
 Creator(s):
Krol, A., Editor
Gimi, B., Editor
Affiliations:
-
Publ. Info: Bellingham, Wash. : SPIE
Pages: Ca. 700 S.; getr. Zählung Volume / Issue: - Sequence Number: - Start / End Page: 101370L-1 - 101370L-7 Identifier: ISBN: 978-1-5106-0719-4

Source 2

show
hide
Title: Proceedings of SPIE
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 10137 Sequence Number: - Start / End Page: - Identifier: -