Category Archives: MEDICAL IMAGING

MATLAB Workshop on Image processing in Chennai


          3 Day Programme

On
“IMAGE PROCESSING & MATLAB
PROGRAMMING”


9 – 11 March 2012

Convener
Mrs.T.Catherine Bina
Head, Computer Centre

Coordinators
Mrs.B.Vijayalakshmi
Mr.R.Prabakaran

Anna University, Chennai
Organized by
Computer Centre
MIT Campus, Anna University,
Chromepet,
Chennai-600 044
Tamil Nadu, INDIA.

List of Free Online EBooks for Medical Image Processing & Computer vision

This is a list of all the free online resources on Medical Image processing and computer vision

All those People who are doing projects related to the computer vision, Biometrics, Face recognition systems will be benefited by this resource

  1. M. Aiello, Spatial Reasoning: Theory and Practice. (2002) ILLC Dissertations series 2002-2, pages 224. ISBN 90-5776-079-7.
  2. D.H. Ballard, C.M. Brown; Computer Vision, Prentice-Hall Inc New Jersey, 1982, ISBN 0-13-165316-4 .
  3. B.G. Batchelor, P.F. Whelan; Intelligent Vision Systems for Industry, Springer-Verlag, 1997, ISBN 3-540-19969-1.
  4. O. Bimber, R. Raskar. Spatial Augmented Reality: Merging Real and Virtual Worlds, A K Peters LTD, 2005, ISBN: 1-56881-230-2.

The Basics of MRI : Magnetic Resonance Imaging (Free E-book)

The Basics of MRI

VIEW the BOOK

About the Author

Dr. Hornak is Professor of Chemistry and Imaging Science at the Rochester Institute of Technology where he teaches courses in magnetic resonance imaging, nuclear magnetic resonance spectroscopy, analytical chemistry, and physical chemistry. He is also Director of the Magnetic Resonance Laboratory, a research and development laboratory on the RIT campus. His research interests include multi-spectral tissue classification with magnetic resonance images, near-surface MRI, low-frequency electron spin resonance of free radicals, magnetic resonance hardware development, and magnetic resonance imaging of materials.

Lecture notes : Algortihms used for Medical Image Processing

This course has two components. On the one hand, it is an introduction to digital image analysis presenting selected fundamental problems in medical image analysis, computer vision, photo/video editing, and graphics. We cover such basic concepts as image segmentation, registration, object recognition/matching, tracking, texture, etc. On the other hand, this is an applied course on standard computer science algorithms where students develop practical understanding of dynamic programming, graph based algorithms, computational geometry methods, etc. In fact, image analysis provides a stimulating environment for studying algorithms as their outputs can be intuitively visualized. Students with previous background in algorithms will be exposed to applications in image analysis, while students already familiar with problems in imaging will learn efficient methods based on standard CS algorithms. The course emphasizes the design, analysis, and implementation of algorithms in the context of 2D/3D medical images, photo and video data.

Biosignal 2012-21st Biennial International Conference 28-30th June

The conference should give a forum for information exchange among theoreticians, engineers, and medical people. Original papers, research results, and contributions concerning interesting technical solutions will be appreciated as well as clinical experiences and survey lectures for presentation in the following areas:

  1. Biological signal processing
  2. Medical imaging and image analysis
  3. Modeling in biomedicine
  4. Cell and tissue engineering
  5. Bioinformatics

The conference will be open to contributions from related fields.

Conference Chairman: 
Prof. Ivo Provaznik, Brno University of Technology

Organiser: 
Department of Biomedical Engineering, Faculty of Electrical Engineering and
Computer Science, Brno University of Technology

IEEE Workshop on Mathematical Methods in Biomedical Image Analysis 2012

Call for papers
Biomedical image analysis is a fast evolving field driven by the advancement of imaging modalities and high content screening techniques. Many clinical applications are also emerging that use biomedical image processing for decision support.  The workshop will bring together researchers in computer vision, medical imaging, computational biology, graphics and robotics communities interested in problems that involve mathematical modeling or analysis in biomedical images, which include emerging molecular and cellular images. 
Topics of interests include but are not limited to:
  •     2D/3D/4D Registration
  •     Biomedical Image Databases / Retrieval
  •     Biomedical Image Motion Analysis
  •     Biomedical Image Reconstruction Methods