Marcel Dominik Nickel

No ORCID on file · 2 papers in corpus

other 2022

Comparison of a deep learning-accelerated T2-weighted turbo spin echo sequence and its conventional counterpart for female pelvic MRI: reduced acquisition times and improved image quality

Insights into imaging ·doi:10.1186/s13244-022-01321-5

OBJECTIVES: To investigate the feasibility of a deep learning-accelerated T2-weighted turbo spin echo (TSE) sequence (T2DL) applied to female pelvic MRI, using standard T2-weighted TSE (T2S) as reference. METHODS: In total, 24 volunteers a…

diagnostic-accuracy 2021

Can Dynamic Contrast-enhanced MRI Contribute to Improved Assessment of Rectosigmoid Involvement in Deep Infiltrating Endometriosis?

In vivo (Athens, Greece) ·doi:10.21873/invivo.12494

BACKGROUND/AIM: To determine whether a prototypical compressed-sensing volume-interpolated breath-hold (csVIBE) provides diagnostic value in detecting rectosigmoid infiltration in deep infiltrating endometriosis (DIE). PATIENTS AND METHODS…