elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

AI-based Evaluation of cardiac real-time MRI with congenital heart disease

Rosauer, Philipp and Koslow, Wadim and Bach, Anja and Hoff, Alex and Tank, Jens and Gerlach, Darius (2022) AI-based Evaluation of cardiac real-time MRI with congenital heart disease. Helmholtz Imaging Conference 2022, 2022-05-31 - 2022-06-01, Berlin, Deutschland.

[img] PDF
924kB

Abstract

Cardiac MRI scans are an important tool used by cardiologists. It can be utilized for diagnoses and assessment of vital parameters like the stroke volume or blood flow. The significant reduction in acquisition time that is achievable nowadays allows the recording of realtime 3D videos of the human heart. Such high frame rates yield very large amounts of data. To evaluate this data highly efficiently and with as little manual intervention as possible, it must be processed and interpreted automatically. We introduce the key challenges in such automated evaluations of realtime cardiac MRI. As patients are able breath freely during the examination, the effect of respiration on parameters such as blood flow and stroke volume can be investigated. However, this leads to the challenge of respiratory synchronization. Also, as the 3D representation of the heart is acquired slice by slice, the cardiac cycles in those slices must be synchronized. Another challenge is the physiological segmentation of the images. Especially for pathological hearts (e.g. univentricular hearts) this is a great challenge as high accuracy and automation are demanded. Furthermore, we present our workflow to tackle those challenges and show and discuss first results. One result is a breath- and cardiac cycle synchronized segmented univentricular heart in 4D (3D+time).

Item URL in elib:https://elib.dlr.de/191719/
Document Type:Conference or Workshop Item (Poster)
Title:AI-based Evaluation of cardiac real-time MRI with congenital heart disease
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Rosauer, PhilippUNSPECIFIEDhttps://orcid.org/0000-0001-9984-3013UNSPECIFIED
Koslow, WadimUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bach, AnjaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hoff, AlexUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tank, JensUNSPECIFIEDhttps://orcid.org/0000-0002-5672-1187UNSPECIFIED
Gerlach, DariusUNSPECIFIEDhttps://orcid.org/0000-0001-7044-6065UNSPECIFIED
Date:31 May 2022
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Cardiac MRI, realt-time MRI, UNet, Semantic Segmentation, Machine Learning
Event Title:Helmholtz Imaging Conference 2022
Event Location:Berlin, Deutschland
Event Type:national Conference
Event Start Date:31 May 2022
Event End Date:1 June 2022
Organizer:Helmholtz Imaging
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Köln-Porz
Institutes and Institutions:Institute for Software Technology > High-Performance Computing
Institute of Aerospace Medicine > Cardiovascular Medicine in Aerospace
Institute for Software Technology
Deposited By: Rosauer, Philipp
Deposited On:15 Dec 2022 12:05
Last Modified:24 Apr 2024 20:52

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.