Thin-section diffusion-weighted magnetic resonance imaging of the brain with parallel imaging

Area of Science:

• Radiology
• Medical Imaging
• Neuroimaging

Background:

• Thin-section diffusion-weighted imaging (DWI) improves lesion detection but increases scan times.
• Parallel imaging (PI) accelerates MRI acquisition by utilizing coil sensitivity information.

Purpose of the Study:

• To prospectively evaluate a 3-mm thin-section DWI technique integrated with PI.
• Assess qualitative and quantitative performance using both imaging techniques.

Main Methods:

• 30 patients underwent conventional 5-mm DWI and 3-mm thin-section DWI with PI.
• Quantitative measurements included signal-to-noise ratio (SNR), relative signal intensity (rSI), and apparent diffusion coefficient (ADC).
• Image quality and contrast-to-noise ratio (CNR) for lesions were also assessed.

Main Results:

• Thin-section DWI with PI showed significantly higher relative signal intensities (P<0.05).
• Image quality scores and lesion CNR were superior with the thin-section DWI and PI combination.
• No significant differences were observed in SNR or ADC values between the two techniques.

Conclusions:

• Combining thin-section DWI with PI enhances image quality, rSI, and CNR.
• This approach provides diagnostic information without compromising essential quantitative measures like SNR and ADC.
• The technique offers an acceptable imaging time for clinical application.