Viewpoints on Medical Image Processing
- Medical image processing provides core innovation for medical imaging. This paper is focused on recent developments from science to applications analyzing the past fifteen years of history of the proceedings of the German annual meeting on medical image processing (BVM). Furthermore, some members of the program committee present their personal points of views: (i) multi-modality for imaging andMedical image processing provides core innovation for medical imaging. This paper is focused on recent developments from science to applications analyzing the past fifteen years of history of the proceedings of the German annual meeting on medical image processing (BVM). Furthermore, some members of the program committee present their personal points of views: (i) multi-modality for imaging and diagnosis, (ii) analysis of diffusion-weighted imaging, (iii) model-based image analysis, (iv) registration of section images, (v) from images to information in digital endoscopy, and (vi) virtual reality and robotics. Medical imaging and medical image computing is seen as field of rapid development with clear trends to integrated applications in diagnostics, treatment planning and treatment.…


| Author: | Thomas M. DesernoORCiD, Heinz HandelsORCiD, Klaus H. Maier-HeinORCiD, Sven Mersmann, Christoph PalmOTHORCiDGND, Thomas TolxdorffORCiDGND, Gudrun Wagenknecht, Thomas WittenbergORCiD |
|---|---|
| DOI: | https://doi.org/10.2174/1573405611309020002 |
| Parent Title (English): | Current Medical Imaging Reviews |
| Subtitle (English): | From Science to Application |
| Document Type: | Article |
| Language: | English |
| Year of first Publication: | 2013 |
| Release Date: | 2019/12/20 |
| Tag: | Diffusion-weighted imaging; Digital endoscopy; Image analysis; Image processing; Medical imaging; Model-based imaging; Multi-modal imaging; Vizualization |
| GND Keyword: | Bildgebendes Verfahren; Bildverarbeitung; Medizin |
| Volume: | 9 |
| Issue: | 2 |
| First Page: | 79 |
| Last Page: | 88 |
| Institutes: | Fakultät Informatik und Mathematik |
| Research Center of Biomedical Engineering - RCBE | |
| Fakultät Informatik und Mathematik / Labor Regensburg Medical Image Computing (ReMIC) | |
| Begutachtungsstatus: | peer-reviewed |
| research focus: | Gesundheit und Soziales |
| Frontdoor-URL: | https://opus4.kobv.de/opus4-oth-regensburg/121 |


