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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Quantitative Analysis of Diffusion Weighted MR Images of Brain Tumor Using Signal Intensity Gradient Technique
S S Shanbhag1, G R Udupi1, K M Patil2
1Electronics and Communication Engineering, Gogte Institute of Technology, Belgaum 590008, India.
Journal of Medical Engineering
|March 24, 2016
Summary
Diffusion weighted-magnetic resonance imaging (DW-MRI) can differentiate brain tumors like glioma and meningioma. Quantitative analysis of signal intensity gradients revealed distinct patterns, aiding in differential diagnosis.
Area of Science:
- Neuroimaging
- Oncology
- Radiology
Background:
- Brain tumors, including glioma and meningioma, require accurate classification for effective treatment.
- Diffusion weighted-magnetic resonance imaging (DW-MRI) offers insights into tissue microstructure.
Purpose of the Study:
- To assess the utility of DW-MRI in distinguishing between glioma and meningioma.
- To investigate if signal intensity characteristics on DW images correlate with tumor histology and cellularity.
Main Methods:
- Quantitative analysis of signal intensity variations using the signal intensity gradient (SIG) parameter on DW images.
- Comparison of SIG values within the tumor volume and the contralateral hemisphere (RSIG) in 20 glioma and 12 meningioma patients.
Main Results:
- Relative SIG (RSIG) values showed a significantly higher increase in glioma (10.08-28.36 times) compared to meningioma (5.60-9.86 times) relative to the contralateral hemisphere.
- RSIG values demonstrated a statistically significant difference (P < 0.01) between glioma and meningioma groups, with no overlap.
Conclusions:
- Quantitative RSIG values derived from DW-MRI can effectively differentiate between glioma and meningioma.
- This imaging biomarker holds potential for improving the clinical diagnosis and treatment planning of brain tumors.
