Back to Search
Start Over
An adapted optical flow algorithm for robust quantification of cardiac wall motion from standard cine-MR examinations
- Source :
- IEEE Transactions on Information Technology in Biomedicine (TITB), IEEE Transactions on Information Technology in Biomedicine (TITB), 2012, pp.1-10, IEEE Transactions on Information Technology in Biomedicine, IEEE Transactions on Information Technology in Biomedicine, Institute of Electrical and Electronics Engineers, 2012, 16 (5), pp.859-68. 〈10.1109/TITB.2012.2204893〉, IEEE Transactions on Information Technology in Biomedicine, Institute of Electrical and Electronics Engineers, 2012, 16 (5), pp.859-68. ⟨10.1109/TITB.2012.2204893⟩, IEEE Transactions on Information Technology in Biomedicine, Institute of Electrical and Electronics Engineers, 2012, pp.1-10
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
Abstract
- International audience; This paper presents a method for local myocardial motion estimation from a conventional steady-state free precession cine-MRI sequence using a modified phase-based optical flow (OF) technique. Initially, the technique was tested on synthetic images to evaluate its robustness with regards to Rician noise and to brightness variations. The method was then applied to cardiac images acquired on 11 healthy subjects. Myocardial velocity is measured in centimeter per second in each studied pixel and visualized as colored vectors superimposed on MRI images. The estimated phase-based OF results were compared with a reference OF method and gave similar results on synthetic images, i.e., without a significant difference of the mean angular error. Applied on cine-MRI of normal hearts, the calculated velocities from short-axis images concord with values obtained in the literature. The advantage of the presented method is its robustness with respect to Rician noise and to brightness changes often observed in cine-MRI sequences, and especially with the through-plane movement of the heart. Motion assessment using our method on cine-MR images gives promising results on motion estimation on a pixel-by-pixel basis, leading to a regional measurement of the time-velocity course of myocardial displacement in different segments of the heart wall.
- Subjects :
- Male
Brightness
Physics::Medical Physics
[INFO.INFO-IM] Computer Science [cs]/Medical Imaging
02 engineering and technology
030218 nuclear medicine & medical imaging
motion estimation
0302 clinical medicine
Cine-MRI
0202 electrical engineering, electronic engineering, information engineering
Image Processing, Computer-Assisted
Computer vision
MESH : Female
Optical filter
MESH : Algorithms
Mathematics
MESH: Middle Aged
[ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging
General Medicine
MESH: Magnetic Resonance Imaging, Cine
Middle Aged
MESH : Adult
MESH : Magnetic Resonance Imaging, Cine
MESH: Image Processing, Computer-Assisted
Computer Science Applications
cardiovascular system
020201 artificial intelligence & image processing
Female
Algorithms
MESH : Image Processing, Computer-Assisted
Biotechnology
Adult
MESH : Male
Optical flow
Magnetic Resonance Imaging, Cine
Image processing
MESH: Algorithms
heart
optical flow
03 medical and health sciences
MESH : Heart
Robustness (computer science)
Motion estimation
[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathology
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Humans
MESH : Middle Aged
Electrical and Electronic Engineering
Centimeter
MESH: Humans
Pixel
business.industry
MESH : Humans
MESH: Adult
MESH: Male
MESH: Heart
Artificial intelligence
business
MESH: Female
[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Subjects
Details
- Language :
- English
- ISSN :
- 10897771
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Information Technology in Biomedicine (TITB), IEEE Transactions on Information Technology in Biomedicine (TITB), 2012, pp.1-10, IEEE Transactions on Information Technology in Biomedicine, IEEE Transactions on Information Technology in Biomedicine, Institute of Electrical and Electronics Engineers, 2012, 16 (5), pp.859-68. 〈10.1109/TITB.2012.2204893〉, IEEE Transactions on Information Technology in Biomedicine, Institute of Electrical and Electronics Engineers, 2012, 16 (5), pp.859-68. ⟨10.1109/TITB.2012.2204893⟩, IEEE Transactions on Information Technology in Biomedicine, Institute of Electrical and Electronics Engineers, 2012, pp.1-10
- Accession number :
- edsair.doi.dedup.....c55021c55f93c22e4585bd527e4f88b3