Siemens Healthineers advanced Cinematic Rendering as a volume rendering technology. Cinematic rendering is an image processing technique applied in medical diagnostics to create three-dimensional, photorealistic images of cross-sectional data, such as computed-tomography, or magnetic resonance imaging (MRI). In 2017, Klaus Engel, Franz Fellner and Robert Schneider were nominated for the German Future Prize for their interdisciplinary collaboration on Cinematic Rendering.
Based on the volumetric Monte-Carlo Path Tracing algorithm, cinematic rendering traces hundreds to thousands of light path per pixel through the data generated by a virtual camera. The light input is averaged along these path and transported from high-dynamic-range images back to the virtual camera sensor. The scattering, absorption and emission is then simulated along the optical paths by means of the interaction between the light and the volumetric data, resulting in vivid, realistic anatomical images of similar image quality similar to CGI sequences used in the film industry.
Approved for use in the medical field, cinematic rendering is being applied to a range of different areas that include radiology (to supplement available cross-sectional images), surgery (to plan preoperative procedures, such as oral and maxillofacial surgery, trauma surgery and orthopedics), as well as cardiovascular surgery and interventional radiology. The system can also be used across disciplines to, for example, train post-graduate medical personnel, as well as support patient education and interdisciplinary clinical meetings (such as tumor boards).
Cinematic rendering technology is currently applied as a virtual educational method at specialized facilities, institutions, and centers to teach the subject of anatomy [1] to both medical students and other healthcare professions, for example, at the JKU Faculty of Medicine [2] at the Johannes Kepler University Linz, and for post-graduate programs in clinical areas as well as medical assistant professions.
Siemens Healthineers advanced Cinematic Rendering as a volume rendering technology. Cinematic rendering is an image processing technique applied in medical diagnostics to create three-dimensional, photorealistic images of cross-sectional data, such as computed-tomography, or magnetic resonance imaging (MRI). In 2017, Klaus Engel, Franz Fellner and Robert Schneider were nominated for the German Future Prize for their interdisciplinary collaboration on Cinematic Rendering.
Based on the volumetric Monte-Carlo Path Tracing algorithm, cinematic rendering traces hundreds to thousands of light path per pixel through the data generated by a virtual camera. The light input is averaged along these path and transported from high-dynamic-range images back to the virtual camera sensor. The scattering, absorption and emission is then simulated along the optical paths by means of the interaction between the light and the volumetric data, resulting in vivid, realistic anatomical images of similar image quality similar to CGI sequences used in the film industry.
Approved for use in the medical field, cinematic rendering is being applied to a range of different areas that include radiology (to supplement available cross-sectional images), surgery (to plan preoperative procedures, such as oral and maxillofacial surgery, trauma surgery and orthopedics), as well as cardiovascular surgery and interventional radiology. The system can also be used across disciplines to, for example, train post-graduate medical personnel, as well as support patient education and interdisciplinary clinical meetings (such as tumor boards).
Cinematic rendering technology is currently applied as a virtual educational method at specialized facilities, institutions, and centers to teach the subject of anatomy [1] to both medical students and other healthcare professions, for example, at the JKU Faculty of Medicine [2] at the Johannes Kepler University Linz, and for post-graduate programs in clinical areas as well as medical assistant professions.