Image Processing in Biomedical Science

  • Lakshay Bajaj
  • Kannu Gupta
  • Yasha Hasija
Part of the Studies in Computational Intelligence book series (SCI, volume 730)


Images have been of utmost importance in the life of humans as vision is one of the most important sense, therefore, images play a vital role in every individual’s perception. As a result, image processing from its very first application in the 1920s to till date has advanced many folds. There are various fields in which image processing flourished but one of the major and upcoming field is Medical Science. There has been a dramatic expansion in Medical Image Processing in last two decades due to its ever-increasing and non-ending applications. The main reason that the field evolved in such short time is because of its interdisciplinary nature, it attracts expertise from different background like Computer Science, Biotechnology, Statistics, Biology, etc. Computerised Tomography (CT), Positron Emission Tomography (PET), Magnetic Resonance Imaging (MRI), X-Ray, Gamma Ray, and Ultrasound are some of the commonly used medical imaging technologies used today. The rush in the development of new technology demands to meet the challenges faced such as—how to improve the quality of an image, how to automate medical imaging and predictions, and how to expand its reach to all medical fields. The sole and only purpose of this chapter is to provide an introduction to medical image application and techniques so that more interest can be developed for further research in the same field.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Biotechnology EngineeringDelhi Technological UniversityDelhiIndia
  2. 2.Department of Computer Science EngineeringDelhi Technological UniversityDelhiIndia

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