Digital Image Processing HAWK
Digital Image Processing in Medicine in the HAWK – New Course Starting in Göttingen
The HiGHmed consortium – made up of renowned German medical institutes – empowers aspiring leaders of the healthcare field of tomorrow, by promoting digital literacy and supporting digital integration across all fields of allied health. To achieve this, HiGHmed is developing HiGHmeducation – an innovative training framework for teaching health informatics and data science skills to physicians, nurses and other staff from all fields of allied health. Multiple newly established online courses are already underway, right across our various academic partner sites. These online courses can be taken individually and we will soon offering an integrated vocational training programme, which will allow participants to earn HiGHmed professional certificates in e-health.
As part of HiGHmed's joint teaching and training programme, the Hochschule für Angewandte Wissenschaft und Kunst (HAWK) in Göttingen will be running the third offering of its e-learning module, entitled “Image Processing in Medicine”.
Digital image processing involves the use of computer algorithms to process images in order to better display specific components of the image captured. This technology, when applied to medicine, can be used to improve diagnosis and treatment outcomes in patients – by differentiating layers of tissue to identify microfractures in bone, by generating 3D representations of a collection of 2D images and more.
The use of digital image processing permits the use of complex algorithms for the analysis of images, which can in turn offer sophisticated outcomes on simple tasks as well as allowing the implementation of processing too complex for analogue means. These algorithms can allow for classification, feature extraction, pattern recognition and filtering. However, without a basic understanding of the underlying methods and limitations thereof, users cannot accurately select the processing algorithms that are fit for task.
The course will involve both theoretical and practical components, covering topics including digital image capture, image processing, image noise and filtering, with sources including x-ray, computer tomography and magnetic resonance tomography.
By offering the course online, students can participate at a location and time convenient to them. The course will mix internal and external students, allowing a broader range of interaction and participation.
The next course begins on 6th April, 2021, and will be available to students and employees of the academic partners and the other institutions involved in the HiGHmed project. If you want to participate in our course, please send an e-mail to email@example.com.