Using Image Processing on MRI Scans

Chetan Patil, M. G. Mathura, S. Madhumitha, S. Sumam David, Merwyn Fernandes, Anand Venugopal, B. Unnikrishnan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Alzheimer's disease (AD) is an irreversible and progressive brain disease that gradually destroys memory and thinking skills to an extent that it starts affecting the daily life. It has become the most common cause of dementia among older people. The work presented in this paper evaluates the utility of image processing on the Magnetic Resonance Imaging (MRI) scans to estimate the possibility of an early detection of AD. The total brain atrophy and specifically the hippocampal atrophy are considered strong diagnostic tests for AD. T1 weighted MRIs have been used for the purpose of image processing to evaluate atrophy. The paper demonstrates the applications of several image processing techniques such as K-means clustering, wavelet transform, watershed algorithm and also a customized algorithm tailored for the specific case. It has been implemented on the open source platforms, OpenCV and Qt, which facilitates the implementation and utility of the developed product in the hospitals without requiring any proprietary software. The results obtained from the project could aid the analysis to detect AD along with correlation with the psychiatric results and could thus assist the doctors in detecting AD at an early stage. This could progressively help in understanding and treating AD.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479918232
DOIs
Publication statusPublished - 21-04-2015
Event2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015 - Calicut, India
Duration: 19-02-201521-02-2015

Conference

Conference2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015
CountryIndia
CityCalicut
Period19-02-1521-02-15

Fingerprint

Image processing
Brain
Magnetic Resonance Imaging
Watersheds
Magnetic resonance imaging
Wavelet transforms
Data storage equipment

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Software

Cite this

Patil, C., Mathura, M. G., Madhumitha, S., David, S. S., Fernandes, M., Venugopal, A., & Unnikrishnan, B. (2015). Using Image Processing on MRI Scans. In 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015 [7091517] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPICES.2015.7091517
Patil, Chetan ; Mathura, M. G. ; Madhumitha, S. ; David, S. Sumam ; Fernandes, Merwyn ; Venugopal, Anand ; Unnikrishnan, B. / Using Image Processing on MRI Scans. 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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Patil, C, Mathura, MG, Madhumitha, S, David, SS, Fernandes, M, Venugopal, A & Unnikrishnan, B 2015, Using Image Processing on MRI Scans. in 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015., 7091517, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015, Calicut, India, 19-02-15. https://doi.org/10.1109/SPICES.2015.7091517

Using Image Processing on MRI Scans. / Patil, Chetan; Mathura, M. G.; Madhumitha, S.; David, S. Sumam; Fernandes, Merwyn; Venugopal, Anand; Unnikrishnan, B.

2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7091517.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Unnikrishnan, B.

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AB - Alzheimer's disease (AD) is an irreversible and progressive brain disease that gradually destroys memory and thinking skills to an extent that it starts affecting the daily life. It has become the most common cause of dementia among older people. The work presented in this paper evaluates the utility of image processing on the Magnetic Resonance Imaging (MRI) scans to estimate the possibility of an early detection of AD. The total brain atrophy and specifically the hippocampal atrophy are considered strong diagnostic tests for AD. T1 weighted MRIs have been used for the purpose of image processing to evaluate atrophy. The paper demonstrates the applications of several image processing techniques such as K-means clustering, wavelet transform, watershed algorithm and also a customized algorithm tailored for the specific case. It has been implemented on the open source platforms, OpenCV and Qt, which facilitates the implementation and utility of the developed product in the hospitals without requiring any proprietary software. The results obtained from the project could aid the analysis to detect AD along with correlation with the psychiatric results and could thus assist the doctors in detecting AD at an early stage. This could progressively help in understanding and treating AD.

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Patil C, Mathura MG, Madhumitha S, David SS, Fernandes M, Venugopal A et al. Using Image Processing on MRI Scans. In 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7091517 https://doi.org/10.1109/SPICES.2015.7091517