Back to search

Article

Perivascular Space Semi-Automatic Segmentation (PVSSAS): A Tool for Segmenting, Viewing and Editing Perivascular Spaces

2020-11-17

Abstract excerpt

<h4>Summary</h4> <h4>Objective</h4> In this study, we validate and describe a user-friendly tool for PVS tracing that uses a Frangi-based detection algorithm; which will be made freely available to aid in future clinical and research applications. All PVS detected by the semi-automated method had a match with the manual dataset and 94% of the manual PVS had a match within the semi-automated dataset. <h4>Methods<...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
704326a4-3204-5aff-94e7-8aac9d4b5b5f
DOI
10.1101/2020.11.16.385336
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Perivascular Space Semi-Automatic Segmentation (PVSSAS): A Tool for Segmenting, Viewing and Editing Perivascular SpacesDOI 10.1101/2020.11.16.385336
Select a neighboring publication to make it the new centre.