Work

Automated analysis of perfusion weighted MRI using asymmetry in vascular territories

Year: 2015

Type: article

Source: Magnetic Resonance Imaging

DOI: 10.1016/j.mri.2015.01.009

Authors: Neil R. Chatterjee, Sameer A. Ansari, Parmede Vakil, Shyam Prabhakaran, Timothy J. Carroll, Michael C. Hurley

Institution: Northwestern University

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Heart, Lung, and Blood Institute, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering

Awards: Time Resolved MRA of the Intracranial Vasculature, G1846228612, Graduate Training Program for Magnetic Resonance Imaging, G3417334617, Improved Measurement of Celebral Perfusion with MRI, Non-invasive detection of heart transplant rejection with MRI

OpenAlex ID: W2017315120

FWCI: 1.077

Cites: 18

Cited by: 9

Related to: 10