Quantitative modeling of lenticulostriate arteries on 7-T TOF-MRA for cerebral small vessel disease.

ABSTRACT:

Background

We developed a framework for segmenting and modeling lenticulostriate arteries (LSAs) on 7-T time-of-flight magnetic resonance angiography and tested its performance on cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) patients and controls.

Methods

We prospectively included 29 CADASIL patients and 21 controls. The framework includes a small-patch convolutional neural network (SP-CNN) for fine segmentation, a random forest for modeling LSAs, and a screening model for removing wrong branches. The segmentation performance of our SP-CNN was compared to competitive networks. External validation with different resolution was performed on ten patients with aneurysms. Dice similarity coefficient (DSC) and Hausdorff dista

SUBMITTER: Li Z 

PROVIDER: S-EPMC11538103 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature