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HoloLens Biomedical Image Visualization
The aim of the project is to implement a software to interactively visualize dynamic 3D anatomical models using Microsoft’s HoloLense derived from highly-dimensional biomedical imaging datasets.
The advancements in biomedical imaging have led to evermore increasing data sizes and dimensions. While planar images have been the standard in the past, three and higher-dimensional datasets have become increasingly available and require sophisticated approaches of visualization and interrogation. The data quality and richness of data available from imaging tools, now allow new approaches of visualization which also open up a new dimension in teaching e.g. organ or/and cell anatomy. Moreover, the virtual reality technology could be a helpful tool in clinical medicine, biological and biomedical imaging research in the near future.
The advancements in biomedical imaging have led to evermore increasing data sizes and dimensions. While planar images have been the standard in the past, three and higher-dimensional datasets have become increasingly available and require sophisticated approaches of visualization and interrogation. The data quality and richness of data available from imaging tools, now allow new approaches of visualization which also open up a new dimension in teaching e.g. organ or/and cell anatomy. Moreover, the virtual reality technology could be a helpful tool in clinical medicine, biological and biomedical imaging research in the near future.
The objective of this research project is the implementation of a software framework to interactively visualize dynamic 3D anatomical models using Microsoft’s HoloLense. The anatomical models are derived from time-resolved 3D Magnetic Resonance and Computed Tomography image datasets and other data sources which are available to this project.
The objective of this research project is the implementation of a software framework to interactively visualize dynamic 3D anatomical models using Microsoft’s HoloLense. The anatomical models are derived from time-resolved 3D Magnetic Resonance and Computed Tomography image datasets and other data sources which are available to this project.
Dr. Beat Schuler, schuler@biomed.ee.ethz.ch; Prof. Dr. Sebastian Kozerke, kozerke@biomed.ee.ethz.ch
Dr. Beat Schuler, schuler@biomed.ee.ethz.ch; Prof. Dr. Sebastian Kozerke, kozerke@biomed.ee.ethz.ch