Brain MR angiography using automatic clipping techniques: Evaluation of workflow improvement compared to manual...

Area of Science:

• Medical Imaging
• Radiology
• Neuroimaging

Background:

• Manual clipping in brain MR angiography (MRA) is a labor-intensive process.
• Workflow efficiency and image quality are operator-dependent in MRA post-processing.

Purpose of the Study:

• To evaluate the effectiveness of an automatic clipping function (AutoClip) in MRA.
• To assess AutoClip's impact on workflow efficiency and image quality across varying operator experience levels.

Main Methods:

• Thirty brain MRA datasets were processed by three technologists with diverse MRI experience (12, 5, and 1 year).
• Processing time was recorded for both manual and automatic clipping methods.
• Image quality of major intracranial arteries was visually assessed using a five-point scale.

Main Results:

• AutoClip significantly decreased processing time for all operators.
• The most substantial time savings were observed in the least experienced operator.
• Image quality assessed visually was comparable between manual and automatic clipping, irrespective of operator experience.

Conclusions:

• AutoClip maintains diagnostic image quality while considerably reducing MRA post-processing time.
• This function offers significant benefits for less-experienced operators, potentially enhancing overall workflow efficiency.
• AutoClip can standardize MRA post-processing across operators with different experience levels.