Dominik Nickel

ORCID: 0000-0002-0360-7233 · 2 papers in corpus
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

ObjectivesTo 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.MethodsIn total, 24 volunteers and 48 …

article 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:…