MR Imaging–based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength

PURPOSE: To describe a fully automated segmentation method that yields object-based morphologic estimates of enlarged perivascular spaces (ePVSs) in clinical-field-strength (3.0-T) magnetic resonance (MR) imaging data. MATERIALS AND METHODS: In this HIPAA-compliant study, MR imaging data were obtain...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Radiology
Main Authors: Boespflug, Erin L., Schwartz, Daniel L., Lahna, David, Pollock, Jeffrey, Iliff, Jeffrey J., Kaye, Jeffrey A., Rooney, William, Silbert, Lisa C.
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2018
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5790307/
https://ncbi.nlm.nih.gov/pubmed/28853674
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2017170205
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados