Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction

Sebastian Gassenmaier, Verena Warm, Dominik M. Nickel, Elisabeth Weiland, Judith Herrmann, Haidara Almansour, Daniel Wessling, Saif Afat

Cancers 2023 article cited by 26

importance 4/10 partially solved Advanced MRI Techniques and Applications prostate imaging stage: research

Thin-slice prostate MRI could improve cancer diagnostics but unacceptably prolongs acquisition time.

Better prostate MRI images can improve cancer detection, but longer scans reduce scanner throughput.

Deep learning image reconstruction accelerated thin-slice (2mm) T2-weighted TSE prostate MRI so it was acquired in similar time to conventional 3mm imaging in a 30-patient prospective study.

Axial acquisition time 4:12 min (conventional 3mm) vs 4:37 min (thin-slice 2mm T2DLR)

Thin-slice imaging achieved with only ~25 seconds additional scan time in a small single-center study.

Venue Cancers
Published 2023
Work type article
Authors Sebastian Gassenmaier, Verena Warm, Dominik M. Nickel, Elisabeth Weiland, Judith Herrmann, Haidara Almansour, Daniel Wessling, Saif Afat
Citations 26 (OpenAlex, at import time)
References 33
Model or method deep learning image reconstruction (specific architecture not stated in source)
Organization not stated in source
Primary source https://doi.org/10.3390/cancers15030578
Open access gold
Keywords deep learning, MRI reconstruction, prostate cancer, thin-slice imaging
4 / 10

real but narrower advance

Real but narrow imaging advance: thin-slice prostate MRI with ~25s extra scan time; single-center 30-patient study, no scale stated.

Basis: inferred. Judged from the source text, which gives no explicit scale. Stated scale: not stated in source. Method and limits.

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