Noninvasive measurement of intravascular pressure gradients based on 3D anatomy and 4D flow image fusion

Cardiovascular pressure gradients are an important clinical marker for the evaluation of the severity of cardiovascular diseases. The pressure estimation techniques based on the MRI velocity data demand accurate segmentation in order to set the boundary conditions. Segmentation is difficult to perform on these images due to minimal contrast between blood and vascular anatomy. Alternatively, imaging sequences such as 3D whole heart (anatomy) are more suitable for geometry extraction. In this work, we propose to enhance noninvasive pressure measurements through a fused anatomy and flow image data.

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