Keywords: Breast, Breast, DWI Breast AI/ML reconstructions on scanner
Motivation: - DWI can detect and characterize breast lesions with encouraging performance but suffers from geometric distortions especially at higher resolutions, limiting clinical uptake. Multi-shot EPI DWI (msDWI) decreases distortions but is sensitive to motion and requires longer acquisition times. Deep learning-enhanced (msDWI-DL) approaches may further improve image quality.
Goal(s): Evaluate msDWI and msDWI-DL versus conventional single-shot DWI (ssDWI) in clinical breast MRI.
Approach: Conducted qualitative and quantitative comparison of image quality and lesion conspicuity for ssDWI, msDWI, and high resolution msDWI-DL.
Results: msDWI and msDWI-DL demonstrated less distortion versus ssDWI. msDWI-DL had higher noise but may also provide greater lesion conspicuity.
Impact: This study demonstrated that multishot EPI breast DWI can significantly reduce geometric distortions and potentially improve lesion conspicuity over single-shot EPI DWI, especially using an AI based reconstruction technique to increase spatial resolution without adding to scan time.
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