Browsing NTNU Open by Author "Schulz, Anselm"
Now showing items 1-4 of 4
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CT-based migration analysis is more precise than radio-stereometric analysis for tibial implants: a phantom study on a porcine cadaver
Engseth, Lars; Schulz, Anselm; Pripp, Are Hugo; Rörhl, Stephan M. H.; Øhrn, Frank-David (Peer reviewed; Journal article, 2023)Background and purpose: Radiostereometric analysis (RSA) is the gold standard for migration analysis, but computed tomography analysis methods (CTRSA) have shown comparable results in other joints. We attempted to validate ... -
Dose reduction does not impact the precision of CT-based RSA in tibial implants: a diagnostic accuracy study on precision in a porcine cadaver
Øhrn, Frank-David; Engseth, Lars; Pripp, Are Hugo; Röhrl, Stephan Maximilian; Schulz, Anselm (Peer reviewed; Journal article, 2023)Background and purpose: Radiostereometric analysis (RSA) is the gold standard for evaluation of migration of implants. CT-RSA has been shown to have precision at the level of RSA in hip, shoulder, and knee joint replacements. ... -
Low-contrast detectability and potential for radiation dose reduction using deep learning image reconstruction-A 20-reader study on a semi-anthropomorphic liver phantom
Njølstad, Tormund; Dybwad, Anniken; Salvesen, Øyvind Olav; Andersen, Hilde Kjernlie; Schulz, Anselm (Peer reviewed; Journal article, 2022)Background A novel deep learning image reconstruction (DLIR) algorithm for CT has recently been clinically approved. Purpose To assess low-contrast detectability and dose reduction potential for CT images reconstructed ... -
Low-contrast detectability and potential for radiation dose reduction using deep learning image reconstruction—A 20-reader study on a semi-anthropomorphic liver phantom
Njølstad, Tormund Salvesen; Jensen, Kristin; Dybwad, Anniken; Salvesen, Øyvind; Andersen, Hilde Kjernlie; Schulz, Anselm (Peer reviewed; Journal article, 2022)Background A novel deep learning image reconstruction (DLIR) algorithm for CT has recently been clinically approved. Purpose To assess low-contrast detectability and dose reduction potential for CT images reconstructed ...