Julius Henning Niehoff on Muck Rack

Julius Henning Niehoff

As seen in: Academic Radiology
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Automated Patient Registration in Magnetic Resonance Imaging Using Deep Learning-Based Height and Weight Estimation with 3D Camera: A Feasibility Study

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By Lynn Johann Frohwein, Christoph Moenninghoff, Jan Robert Kroeger, Julius Henning Niehoff, Iram Shahzadi, Sesha Subramanian, Alexey Surov, Jan Borggrefe, Birgi Tamersoy, Julius Henning Niehoff
| Academic Radiology
Accurate and efficient estimation of patient height and weight is crucial to ensure patient safety and optimize the quality of magnetic resonance imaging (MRI) procedures. Several height and weight estimation methods have been proposed for use in adult patient management, but none is widely established. Estimation by the medical technologists for radiology (MTR) based on personal experience remains to be the most common method.
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