Binary and nonbinary description of hypointensity in human brain MR images

12/31/2010
by   Xiaojing Chen, et al.
0

Accumulating evidence has shown that iron is involved in the mechanism underlying many neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease and Huntington's disease. Abnormal (higher) iron accumulation has been detected in the brains of most neurodegenerative patients, especially in the basal ganglia region. Presence of iron leads to changes in MR signal in both magnitude and phase. Accordingly, tissues with high iron concentration appear hypo-intense (darker than usual) in MR contrasts. In this report, we proposed an improved binary hypointensity description and a novel nonbinary hypointensity description based on principle components analysis. Moreover, Kendall's rank correlation coefficient was used to compare the complementary and redundant information provided by the two methods in order to better understand the individual descriptions of iron accumulation in the brain.

READ FULL TEXT
research
03/26/2019

CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy

This paper presents a new approach for relatively accurate brain region ...
research
06/13/2018

End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN

In this work, we use a deep learning framework for simultaneous classifi...
research
04/11/2019

FRNET: Flattened Residual Network for Infant MRI Skull Stripping

Skull stripping for brain MR images is a basic segmentation task. Althou...
research
12/05/2019

Analysis of effectiveness of thresholding in perfusion ROI detection on T2-weighted MR images with abnormal brain anatomy

The brain perfusion ROI detection being a preliminary step, designed to ...

Please sign up or login with your details

Forgot password? Click here to reset