Image quality assessment and white matter hyperintensity quantification in two accelerated high-resolution 3D FLAIR...

Area of Science:

• Radiology
• Medical Imaging
• Artificial Intelligence in Medicine

Background:

• Accelerated high-resolution 3D FLAIR techniques are crucial for brain imaging.
• Comparing novel techniques like DL-SPACE and Wave-CAIPI FLAIR is essential for optimizing image acquisition.
• Assessing image quality, artifacts, and lesion conspicuity is vital for diagnostic accuracy.

Purpose of the Study:

• To compare the image quality of DL-SPACE FLAIR and Wave-CAIPI FLAIR for brain imaging.
• To evaluate qualitative and quantitative parameters between the two accelerated FLAIR techniques.
• To determine which technique provides superior visualization of brain structures and white matter hyperintensities (WMHs).

Main Methods:

• Retrospective review of 123 participants' brain imaging data acquired with DL-SPACE and Wave-CAIPI FLAIR.
• Qualitative assessment of image quality, artifacts, sharpness, and conspicuity by two radiologists using Likert scales.
• Quantitative analysis of signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), and automated quantification of WMH volumes.

Main Results:

• DL-SPACE FLAIR demonstrated significantly higher fine-structure conspicuity, lower artifacts, and better overall image quality (P < 0.001).
• Mean SNR values were significantly higher for DL-SPACE FLAIR in normal-appearing white matter (43.95 vs. 31.6) and lesions (31.35 vs. 21.28) (P < 0.001).
• Mean CNR for WMH was significantly higher with DL-SPACE FLAIR (11.34 vs. 8.22; P < 0.001), and WMH volumes were larger.

Conclusions:

• DL-SPACE FLAIR technique yields superior image quality, SNR, and CNR compared to Wave-CAIPI FLAIR.
• The findings suggest DL-SPACE FLAIR is a promising technique for accelerated high-resolution brain imaging.
• DL-SPACE FLAIR enhances the detection and characterization of brain pathologies like WMHs.