Multimodal Medical Image Fusion Using Soft Computer Algorithms

By Dr. Ebenezer Daniel, Dr. Anitha Mary and Dr. J. Gnanaraj | Published: Oct 2018 Volume: 7

Medical Images are often used for diagnosis of a variety of disease process. The findings noted on the images depend on the type of process that is used for obtaining the images. For example the images provided by CT scan and MRI are different. Combining these images might give better understanding of the disease process. Nuclear imaging modalities such as SPECT [Single Photon Emission Tomography] and PET [Positron Emission Tomography] give more information about the function of the organ that is scanned.

The availability of computer algorithms make combination of these images possible and give additional useful information. Commercial machines are available that carry out the combined procedures but are not available at most places and even if available are much more expensive than doing these image studies separately.


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This is a low cost technique that offers the advantages of combined modalities and could combine images taken at different times and different places too. The cost is low because the work is by the regular commonly used computers rather than specific embedded systems in the machines.

The advantage of combining various imaging modalities is that more useful information could be obtained by the different methods. While one mode gives better understanding of the anatomy the other one gives better understanding of the function. It is good to know if some areas are not functioning even if they appear to have normal anatomy. The clinical significance could be that the non-functioning areas have greater possibility of being diseased.

Daniel, Ebenezer, Mary, Anitha and Gnanaraj, J., (2018), Multimodal Medical Image Fusion Using Soft Computer Algorithms, mdCurrent-India, Volume 7. Available online at: This is a peer-reviewed article.

Dr. Ebenezer Daniel, received his Ph.D. in Electronics and Communication Engineering. He received his Bachelors of Technology (B.Tech) in Electronics & Communication Engineering from Mahatma Gandhi University, Kottayam, India and his Masters of Technology (M.Tech) in Communication Systems from Karunya University, Coimbatore. His area of research interest includes Medical Image Analysis, Artificial Intelligence and Developing Bio Inspired Optimization Algorithms.
Dr X Anitha Mary 64 Dr. Anitha Mary is the Associate Professor at the EIE department of Karunya University and has a Ph.D. in Electronics and Instrumentation Engineering.
gnanaraj Dr. J. Gnanaraj MS, MCh [Urology], FICS, FARSI, FIAGES is a urologist and laparoscopic surgeon trained at CMC Vellore. He has been appointed as a Professor in the Electronics and Instrumentation Engineering Department of Karunya University and is the Director of Medical Services of the charitable organization SEESHA. He has a special interest in rural surgery and has trained many surgeons in remote rural areas while working in the mission hospitals in rural India. He has helped 21 rural hospitals start minimally invasive surgeries. He has more than 150 publications in national and international journals, most of which are related to modifications necessary for rural surgical practice. He received the Barker Memorial award from the Tropical Doctor for the work regarding surgical camps in rural areas. He is also the recipient of the Innovations award of Emmanuel Hospital Association for health insurance programs in remote areas and the Antia Finseth innovation award for Single incision Gas less laparoscopic surgeries. During the past year, he has been training surgeons in innovative gas less single incision laparoscopic surgeries.

References (click to show/hide)

  1. Ebenezer Daniel, Anitha Jude. Optimum wavelet based masking for the contrast enhancement of medical images using enhanced cuckoo search algorithm. Computers in Biology & Medicine 71 (2016) 149–155.
  2. Ebenezer Daniel, Anitha Jude. Optimum green plane masking for the contrast enhancement of retinal images using enhanced genetic algorithm. Optik 126(2015) 1726–1730


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