6533b826fe1ef96bd1284489
RESEARCH PRODUCT
Tracking of blood vessels motion from 4D-flow MRI data
Mocia AgbalessiAlain LalandeOlivier BouchotToshiyuki HayaseJean-joseph ChristopheMiguel Angel FernándezDamiano Lombardisubject
4D flow MRIAortic wall trackingData assimilationKalman filter[MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA][MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]description
This paper presents a novel approach to track objects from 4D Flow MRI data. A salient feature of the proposed method is that it fully exploits the geometrical and dynamical nature of the information provided by this imaging modality. The underlying idea consists in formulating the tracking problem as a data assimilation problem, in which both position and velocity observations are extracted from the 4D Flow MRI data series. Optimal estate estimation is then performed in a sequential fashion via Kalman filtering. The capabilities of the method are extensively assessed in a numerical study involving synthetic and clinical data.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2022-09-23 |