[Application of brain diffusion-weighted imaging performed using readout segmentation of long variable echo trains]

Area of Science:

• Radiology and Imaging Science
• Medical Physics
• Neuroimaging

Context:

• Advanced magnetic resonance (MR) imaging techniques are crucial for diagnosing neurological disorders.
• Standard echo planar imaging (EPI) suffers from susceptibility distortions and T2* blurring, limiting image quality.
• High-resolution diffusion-weighted imaging (DWI) is essential for detailed anatomical and pathological assessment.

Purpose:

• To evaluate the preliminary clinical utility of the novel Readout Segmentation of Long Variable Echo Trains (RESOLVE) sequence for magnetic resonance imaging.
• To assess RESOLVE's ability to minimize artifacts and provide high-resolution DWI compared to conventional EPI-DWI.
• To demonstrate the application of RESOLVE-DWI and diffusion tensor imaging (DTI) in clinical cases of neurological disorders.

Summary:

• The study reports the initial use of the RESOLVE sequence, a novel MR imaging technique utilizing a readout segmented EPI strategy.
• RESOLVE enables high-resolution DWI by reducing susceptibility distortions and T2* blurring, as validated through phantom studies.
• Clinical application in two cases (cerebellar infarction, intracranial epidermoid cyst) showed RESOLVE-DWI clearly visualized structures obscured by artifacts in standard EPI-DWI.
• Diffusion tensor imaging analyses of RESOLVE-DWI data provided detailed information on fiber tracts and cranial nerves.

Impact:

• The RESOLVE sequence offers superior image quality for DWI in neurological imaging, improving visualization of critical structures.
• This technique has the potential to enhance diagnostic accuracy for various neurological conditions.
• RESOLVE-DWI combined with DTI analysis provides valuable insights into white matter tracts and cranial nerve integrity.