6533b7d7fe1ef96bd1267c19
RESEARCH PRODUCT
An adapted optical flow algorithm for robust quantification of cardiac wall motion from standard cine-MR examinations
François BrunottePaul WalkerL. LegrandM. XavierAlain Lalandesubject
MaleBrightnessPhysics::Medical Physics[INFO.INFO-IM] Computer Science [cs]/Medical Imaging02 engineering and technology030218 nuclear medicine & medical imagingmotion estimation0302 clinical medicineCine-MRI0202 electrical engineering electronic engineering information engineeringImage Processing Computer-AssistedComputer visionMESH : FemaleOptical filterMESH : AlgorithmsMathematicsMESH: Middle Aged[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingGeneral MedicineMESH: Magnetic Resonance Imaging CineMiddle AgedMESH : AdultMESH : Magnetic Resonance Imaging CineMESH: Image Processing Computer-AssistedComputer Science Applicationscardiovascular system020201 artificial intelligence & image processingFemaleAlgorithmsMESH : Image Processing Computer-AssistedBiotechnologyAdultMESH : MaleOptical flowMagnetic Resonance Imaging CineImage processingMESH: Algorithmsheartoptical flow03 medical and health sciencesMESH : HeartRobustness (computer science)Motion estimation[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathology[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansMESH : Middle AgedElectrical and Electronic EngineeringCentimeterMESH: HumansPixelbusiness.industryMESH : HumansMESH: AdultMESH: MaleMESH: HeartArtificial intelligencebusinessMESH: Female[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologydescription
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.
year | journal | country | edition | language |
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2012-06-14 |