Mrinal Kanti Bhowmik, Ph.D. (Engg.)
Department of Computer Science and Engineering
Tripura University (A Central University)
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IR(Infrared) Knee Joint Dataset




The acquisition of Knee thermogram dataset has been conducted in Physical Medicine and Rehabilitation (PMR) Department, Agartala Government Medical College (AGMC) of Govind Ballav Pant (GBP) Hospital, Agartala, Tripura (W), under the supervision of Dr. Satyabrata Nath, Assistant Professor, PMR Department, Agartala Government Medical College (AGMC), Govind Ballav Pant (GBP) Hospital, Govt. of Tripura. The Knee thermogram dataset contains total 1200 thermograms of 200 subjects. Six different view of knee regions are captured from each subject. Those six different views are anterior view, posterior view, exterior side of right knee, exterior side of left knee, the interior side of right knee, the interior side of left knee. The anterior view of contains maximum inflammatory information and can be accessible with permission by following the given link below. Among those 200, 105 subjects are belongs to arthritis affected patient group and rest 95 subjects are under the group of healthy volunteers without any health abnormality. Three types of arthritis oriented data are captured under arthritis affected thermogram and those types are Rheumatoid arthritis (RA), Osteoarthritis (OA), and Reactive arthritis (RE).

Importance/Utilities of the Dataset: The key features of the designed dataset are as follows:

i. The dataset contains newly created standardized knee thermograms focusing on arthritis disease diagnosis. Such dataset is presently not available for research purpose. Creation of such a dataset will expand the the area of research in thermogram base inflammatory knee disease diagnosis.

ii. The dataset contains inflamed region oriented ground truth marked knee thermograms. The ground truth marking is performed under the supervision of medical expert.

iii. The normal and arthritis affected knee thermograms are present in the dataset.

iv. The dataset contains Inter-arthritis marked labelled thermograms where three types of arthritis oriented thermograms are present.

v. Each thermogram of the dataset is labelled by consulting with medical expert in this domain.

Dataset Statistic:

Sl. No. Type of Images No. of Images
1. Healthy Knee 95
2. Arthritis Affected Knee
Rheumatoid Arthritis 30
Osteoarthritis 40
Reactive arthritis 35
Total knee Thermogram 200

Year of Developed of Dataset: 2018 (Dataset still growing)


Dataset Releasing Year: Permission pending from funding agency


Size of Dataset: ≈ 250 MB


Publications: Journals

[1]Shawli Bardhan, Satyabrata Nath, Tathagata Debnath, Debotosh Bhattacharjee and Mrinal Kanti Bhowmik, "Designing of an Inflammatory Knee Joint Thermogram Dataset for Arthritis Classification Using Deep Convolution Neural Network" Quantitative InfraRed Thermography Journal (QIRT), Taylor & Francis Online, Impact Factor: 1.231, Accepted on: 21st November, 2020.

[2] Mrinal Kanti Bhowmik, Kakali Das and Debotosh Bhattacharjee, "Temperature Profile Guided Segmentation for Detection of Early Subclinical Inflammation in Arthritis Knee Joints From Thermal Images" Infrared Physics & Technology, Published by Elsevier, Indexed by Science Citation Index Expanded (SCIE), Volume 99, pp 102-112, 2019, Impact Factor: 2.379, DOI: https://doi.org/10.1016/j.infrared.2019.04.011  Download

[3] Kakali Das, Mrinal Kanti Bhowmik, Omkar Chowdhuary, Debotosh Bhattacharjee and Barin Kumar De, "Accurate segmentation of inflammatory and abnormal regions using medical thermal imagery"  Australasian Physical & Engineering Sciences in Medicine, Published by Springer, Indexed by Science Citation Index Expanded(SCIE), 2019, ISSN 0158-9938, Impact Factor: 1.161, DOI: https://doi.org/10.1007/s13246-019-00753-6  Download

[4] Shawli Bardhan and Mrinal Kanti Bhowmik, "2-Stage classification of knee joint thermograms for rheumatoid arthritis prediction in subclinical inflammation"  Australasian Physical & Engineering Sciences in Medicine, Published by Springer, Indexed by Science Citation Index Expanded(SCIE), Volume 12, Issue 1, pp 259-277,  ISSN: 0158-9938, Impact Factor: 1.161, DOI: https://doi.org/10.1007/s13246-019-00726-9  Download

[5] Shawli Bardhan, Mrinal Kanti Bhowmik,Tathagata Debnath, Debotosh Bhattacharjee,"RASIT: Region shrinking based Accurate Segmentation of Inflammatory areas from Thermograms", Biocybernetics and Biomedical Engineering, published by Elsevier, Volume 38, Issue 4, pp. 903-917 ISSN: 0208-5216, Indexed by Science Citation Index Expanded(SCIE), Impact factor : 2.537, DOI: https://doi.org/10.1016/j.bbe.2018.07.002  Download


Proceedings

[1] Kakali Das Mrinal Kanti Bhowmik, and Dipti Prasad Mukherjee, "Segmentation of Knee Thermograms For Detecting Inflammation", Proceedings of 26th IEEE International Conference on Image Processing (ICIP) - Tier 2 Conference, 2019, Taipei, Taiwan.  Download

[2] Parijata Majumdar, Kakali Das, Niharika Nath, Mrinal Kanti Bhowmik, "Detection of Inflammation from temperature profile using Arthritis knee joint Datasets", Proceedings of  International Conference on Healthcare Informatics (ICHI), pp. 409-411. IEEE, Electronic ISSN: 2575-2634, 4th - 7th June, 2018.  Download

[3] Kakali Das, Gautam Majumdar and Mrinal Kanti Bhowmik, "Qualitative Measures of Breast Thermograms Towards Abnormality Prediction", Proceedings of 8th International Conference on Computing Communication and Networking Technologies (ICCCNT 2017), IEEE Xplore Digital Library, pp. 1-6, 3rd - 5th July, 2017, Indian Institute of Technology Delhi(IIT-Delhi), Electronic ISBN: 978-1-5090-3038-5.  Download

[4] Mrinal Kanti Bhowmik, Shawli Bardhan, Kakali Das, Debotosh Bhattacharjee, Satyabrata Nath, “Pain Related Inflammation Analysis using Infrared Images”, Proceedings of SPIE International Symposium on Commercial + Scientific Sensing and Imaging, SPIE, Vol. 9861, pp. 986116(1-14), 17th - 21st April, 2016, Baltimore Convention Center, Baltimore, MD, United States(Scopus Index).  Download

[5] Shawli Bardhan, Satyabrata Nath and Mrinal Kanti Bhowmik, " Evaluation of Background Subtraction Effect on Classification and Segmentation of Knee Thermogram", Proceedings of 8th International Conference on Computing Communication and Networking Technologies (ICCCNT 2017), IEEE Xplore Digital Library, pp. 1-7, 3rd - 5th July, 2017, Indian Institute of Technology (IIT) Delhi, Electronic ISBN: 978-1-5090-3038-5.  Download

[6] Shawli Bardhan, Mrinal Kanti Bhowmik, Satyabrata Nath, Debotosh Bhattacharjee, "A Review on Inflammatory Pain Detection in Human Body through Infrared Image Analysis", Proceedings of IEEE International Symposium on Advanced Computing and Communication (ISACC 2015), IEEE, pp. 251-257, 14th - 15th September, 2015, Assam University, Silchar, ISBN: 978-1-4672-6707-2.  Download

[7] Shawli Bardhan, Mrinal Kanti Bhowmik, “E-Pain Management using Thermography”, Published abstract in 1st National Seminar on E-resource and E-learning: Challenges and Opportunities, Organized by Department of Information Technology, Bir Bikram Memorial College, Agartala-799004, 26th - 27th July, 2014.


Copyright: The IR Knee Joint dataset is the property of Tripura University. This data can only be used for research or academic purposes. Any commercial use of the data whatsoever or incorporation of the data into a larger database intended for public distribution must be done with the explicit written consent of the administrators.


Sponsored/Funded By: Department of Bio-Technology (DBT), Government of India.


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