Title :
On improving the accuracy of T1 mapping of the human brain
Author :
Yung-Yeh Chang ; Kraft, Kenneth A. ; Docef, Alen
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Commonwealth Univ., Richmond, VA, USA
fDate :
Aug. 29 2011-Sept. 2 2011
Abstract :
The focus of the presented research is to improve the ac-curacy in T1 mapping of the human brain using magnetic resonance imaging (MRI). Quantitative T1 imaging is essen-tial for the non-invasive detection and characterization of brain edema. Existing techniques are either very slow or provide inadequate accuracy. A method for improving the accuracy of the Inversion Recovery Fast Spin Echo MRI sequence is investigated. The approach is based on matching the image reconstruction algorithm to the noise present in the magnetic resonance echo signal measurements. A reduction in T1 estimation error by 36% is achieved.
Keywords :
biomedical MRI; brain; echo; estimation theory; image denoising; image matching; image reconstruction; medical image processing; object detection; human brain T1 mapping accuracy improvement; image reconstruction algorithm; inversion recovery fast spin echo MRI sequence; magnetic resonance echo signal measurements; magnetic resonance imaging; noninvasive brain edema characterization; noninvasive brain edema detection; Accuracy; Electron tubes; Estimation error; Imaging; Noise; Noise measurement;
Conference_Titel :
Signal Processing Conference, 2011 19th European
Conference_Location :
Barcelona