Paper Info
Title
Compare the Application of Two Different b-Value in Diffusion Weighted Imaged to Signal Differences on 3T MRI
Abstract
Diffusion-weighted imaging is a specific MRI modality which is important for diagnosing brain infarction. In this study, we aim to find out that by using different b-values in DWI on 3T MRI for better diagnosis of acute or sub acute brain infarction. In 40 Patients with acute or sub acute brain infarction, we use the b-value 1000s/mm2 and 1500s/mm2 to process diffusion weighted images, and then these images were transferred to the imaging workstation for processing. We analyze the signal intensity and apparent diffusion coefficient (ADC) in the 1) infracted brain, 2) contra lateral normal brain, 3) background area of the infracted brain by circling the region of interest(ROI). It is shown that the higher b-value (1500s/mm2 compared to 1000s/mm2) yield lower signal intensity and ADC value in both the normal brain tissue and the infracted area, The signal to noise ratio (SNR) and contrast to noise ratio (CNR) also decrease as the b-value increases, Applying diffusion weighted imaging generated by the 3T MRI machine different b-values(1000s/mm2 and 1500s/mm2) to diagnose the brain infraction, we obtain better CNR and SNR by applying b-values 1000s/mm2 with statistically significant differences.
Year
DOI
Venue
2013
10.1109/ICIG.2013.184
ICIG
Keywords
Field
DocType
contralateral normal brain,signal intensity,image processing,brain infarction,diseases,adc value,brain infraction,b-value,neurophysiology,imaging workstation,biodiffusion,contra lateral normal brain,infracted brain background area,infracted brain,signal to noise ratio,cnr,roi,diffusion coefficient,normal brain tissue,acute brain infarction diagnosis,different b-value,contrast to noise ratio,diffusion weighted imaging,biomedical mri,3t mri machine,signal differences,brain,dwi,sub acute brain infarction,snr,different b-values,specific mri modality,subacute brain infarction diagnosis,diagnosing brain infarction,region of interest,apparent diffusion coefficient,mri machine,diffusion-weighted imaging,medical image processing,noise ratio,magnetic resonance imaging,attenuation,magnetic fields,blood flow
Effective diffusion coefficient,Diffusion MRI,Neurophysiology,Pattern recognition,Computer science,Signal-to-noise ratio,Infarction,Artificial intelligence,Region of interest,Nuclear magnetic resonance,Contrast-to-noise ratio,Brain tissue
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Hsien-Wen Chiang100.68
Hsien-Jen Chiang200.34
Shih-Yu Chao300.34
Tzu-Chao Chuang400.68
Jie-Zhi Cheng510213.00