Assessment of local pulse wave velocity distribution in mice using k-t BLAST PC-CMR with semi-automatic area segmentation.
Volker HeroldStefan HerzPatrick WinterFabian Tobias GutjahrKristina AndelovicWolfgang Rudolf BauerPeter Michael JakobPublished in: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance (2017)
In the present work, we showed that k-t BLAST PC-MRI enables the measurement of the local PWV distribution in the mouse aorta. The semi-automatic segmentation method based on PC-CMR data allowed rapid determination of local PWV. The findings of this study demonstrate the ability of the proposed methods to non-invasively quantify the spatial variations in local PWV along the aorta of ApoE (-/-)-mice as a relevant model of atherosclerosis.
Keyphrases
- deep learning
- convolutional neural network
- high fat diet induced
- aortic valve
- pulmonary artery
- machine learning
- artificial intelligence
- blood pressure
- cardiovascular disease
- electronic health record
- high fat diet
- metabolic syndrome
- coronary artery
- magnetic resonance
- wild type
- pulmonary arterial hypertension
- solid phase extraction
- pulmonary hypertension
- neural network
- computed tomography
- blood flow
- adipose tissue
- diffusion weighted imaging
- molecularly imprinted