Automatic recognition of subject-specific cerebrovascular trees.

ABSTRACT:

Purpose

An image filter designed for reconstructing cerebrovascular trees from MR images is described. Current imaging techniques capture major cerebral vessels reliably, but often fail to detect small vessels, whose contrast is suppressed due to limited resolution, slow blood flow rate, and distortions around bifurcations or nonvascular structures. An incomplete view of angioarchitecture limits the information available to physicians.

Methods

A novel Hessian-based filter for contrast-enhancement in MR angiography and venography for blood vessel reconstruction without introducing dangling segments is presented. We quantify filter performance with receiver-operating-characteristic and dice-similarity-coefficient analysis. Total extracted vascular length, number-of-segments, v

SUBMITTER: Hsu CY 

PROVIDER: S-EPMC4947568 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature