Earticle

초록

영어

Medical image processing is an multifaceted field at the intersection of computer science, electrical engineering, physics, mathematics and medicine. Medical Image processing has developed versatile computational and mathematical methods for solving problems pertain-ing to medical images and their use for biomedical research and clinical care. The prominent and important motive of Medical Image Processing is to extract clinically relevant infor-mation or knowledge from medical images. MIP focuses on the computational analysis of the images, not their acquisition. The methods can be grouped categorized as: image segmenta-tion, image registration, image-based physiological modeling, Research in Medical Image Processing (MIP) is mainly driven by a technology oriented point of view. MIP research should always be able to give an answer to the question of what is the potential benefit of a solved MIP problem or a newly developed MIP-based system supporting a diagnostic or therapeutic process, in terms of outcome criteria like, e.g., Quality Adjusted Life Years (QALYs) for the patient or cost savings in health care. This paper presents the concept and the strategy of how the Most Relevant MIP problems (MRMIP) shall be identified and as-sessed in the context of improving evaluation of MIP solutions.

목차

Abstract
 1. Introduction
 2. Definitions, Material and Methods
  2.1 Review Stage
 3. Image Based Physiological Modeling
 4. Mathematical Methods in Medical Imaging [5] 
 5. Medality Specific Computing.
 6. Software Used In MIP
 7. Conclusion
 Acknowledgments
 References

키워드

저자

• Atul Mishra [ BBD University, Lucknow, India ]
• Abhishek Rai [ BBD University, Lucknow, India ]
• Akhilesh Yadav [ BBD University, Lucknow, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605