Composite MRA: statistical approach to generate an MR angiogram from multiple contrasts.

ABSTRACT:

Purpose

To develop a method to use information from multiple MRI contrasts to produce a composite angiogram with reduced sequence-specific artifacts and improved vessel depiction.

Methods

Bayesian posterior vessel probability was determined as a function of black blood (BB), contrast enhanced angiography (CE-MRA), and phase-contrast MRA (PC-MRA) intensities from training subjects (N = 4). To generate composite angiogram in evaluation subjects (N = 12), the voxel-wise vessel probabilities were weighted with a confidence measure and combined as a weighted product to yield angiogram intensity. For 23 internal carotid artery (ICA) segments (N = 23) from evaluation subjects, segmentation accuracy of composite MRA was evaluated and compared against CE-MRA using dice similarity coe

SUBMITTER: Kim D 

PROVIDER: S-EPMC6879793 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature