Sökning: id:"swepub:oai:DiVA.org:liu-150788" >
Automated multi-atl...
Automated multi-atlas segmentation of cardiac 4D flow MRI
-
- Bustamante, Mariana, 1983- (författare)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV
-
- Gupta, Vikas (författare)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV
-
- Forsberg, Daniel, 1981- (författare)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Sectra, Linköping, Sweden
-
visa fler...
-
- Carlhäll, Carljohan, 1973- (författare)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Fysiologiska kliniken US
-
- Engvall, Jan, 1953- (författare)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Fysiologiska kliniken US
-
- Ebbers, Tino, 1972- (författare)
- Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Fysiologiska kliniken US
-
visa färre...
-
(creator_code:org_t)
- Elsevier, 2018
- 2018
- Engelska.
-
Ingår i: Medical Image Analysis. - : Elsevier. - 1361-8415 .- 1361-8423. ; 49, s. 128-140
- Relaterad länk:
-
https://liu.diva-por... (primary) (Raw object)
-
visa fler...
-
http://liu.diva-port...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Four-dimensional (4D) flow magnetic resonance imaging (4D Flow MRI) enables acquisition of time-resolved three-directional velocity data in the entire heart and all major thoracic vessels. The segmentation of these tissues is typically performed using semi-automatic methods. Some of which primarily rely on the velocity data and result in a segmentation of the vessels only during the systolic phases. Other methods, mostly applied on the heart, rely on separately acquired balanced Steady State Free Precession (b-SSFP) MR images, after which the segmentations are superimposed on the 4D Flow MRI. While b-SSFP images typically cover the whole cardiac cycle and have good contrast, they suffer from a number of problems, such as large slice thickness, limited coverage of the cardiac anatomy, and being prone to displacement errors caused by respiratory motion. To address these limitations we propose a multi-atlas segmentation method, which relies only on 4D Flow MRI data, to automatically generate four-dimensional segmentations that include the entire thoracic cardiovascular system present in these datasets. The approach was evaluated on 4D Flow MR datasets from a cohort of 27 healthy volunteers and 83 patients with mildly impaired systolic left-ventricular function. Comparison of manual and automatic segmentations of the cardiac chambers at end-systolic and end-diastolic timeframes showed agreements comparable to those previously reported for automatic segmentation methods of b-SSFP MR images. Furthermore, automatic segmentation of the entire thoracic cardiovascular system improves visualization of 4D Flow MRI and facilitates computation of hemodynamic parameters.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Nyckelord
- 4D Flow MRI
- Cardiac segmentation
- Multi-atlas segmentation
- Heart
- Magnetic resonance imaging
- Automatic segmentations
- Directional velocities
- Hemodynamic parameters
- Left ventricular function
- Segmentation methods
- Semiautomatic methods
- Steady state free precessions
- Image segmentation
- adult
- anatomy
- article
- cohort analysis
- controlled study
- error
- female
- heart cycle
- heart left ventricle function
- human
- human tissue
- major clinical study
- male
- motion
- nuclear magnetic resonance imaging
- steady state
- thickness
- volunteer
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas