aceSlice-Wise Quality Assessment of High b Value Breast DWI via Deep Learning-Based Artifact Detection
Diffusion-weighted imaging (DWI) can support lesion detection and characterization in breast MRI. Therefore, DWI is increasingly being incorporated into breast MRI protocols to address some of the shortcomings of routine clinical breast MRI. However, especially high b value DWI can be prone to intensity artifacts that can affect diagnostic image assessment. To detect hyper- and hypointense artifacts on high b value DWI (b = 1500 s/mm2) using deep learning, employing either a binary classification (artifact prese…
A DenseNet121 model trained on 11,806 breast DWI slices can automatically flag hyper- and hypointense artifacts on high b-value images with high discrimination, supporting quality assessment for lesion detection.
Retrospective single-cohort design with limited examinations and need for external validation before clinical use.
Evidence
- Peer-reviewedJournal of Magnetic Resonance Imaging2026-10-05
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Truvace Impact Record TRV-2026-1291, v1: “Slice-Wise Quality Assessment of High b Value Breast DWI via Deep Learning-Based Artifact Detection.” Truvace, 2026-10-06. /record/TRV-2026-1291 (accessed at citation time). sha256 ad35d58710a4853a…
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