The Bio-medical Infrared Image Processing Laboratory at Tripura University (A Central University) was established on 5th March,2014 funded by Department of Biotechnology(DBT), Govt. of India and has a short experience in thermography related to detection of breast cancer and pain in human body in the domain of Biomedical Engineering. Many aspects and observations of Thermal imaging in Breast cancer and pain detection vased on temperature analysis and image processing have been studied in the area of Medical Thermal Imaging(MTI). The research scholars have been working on Biomedical Engineering based on thermography field for the last two months and also learning and gaining experience in this domain day by day. The Laboratory is contacting various national and international laboratories who are working in the same field i.e., Breast thermography and Thermography for pain detection and also collaborating with PMR Department of Agartala Government Medical College (AGMC) and Gobind Ballav Pant (GBP) Hospital, Agartala for medical consultancy about the pain thermography and Regional Cancer Centre(RCC), Agartala Government Medical College (AGMC), Agartala for Breast cancer related guide and confirmation.

1. Flir T650sc Infrared Thermal Imaging Camera of 640 x 480 IR Resolution with thermal sensitivity <30mK@30 degree centigrade.
2. One no of HP Z420 Workstation with 3.7 GHz speed.
3. One no of high performance desktop computer of HP Pavilion 21-a256 in All-in-one-desktop pc.
4. One no of high performance laptop of model-HP-15-D004tu Notebook PC.
5. Two nos. of 2TB External Hard Disk.
6. Three nos. of 1TB External Hard Disk.
7. One 6 KVA Online UPS.
8. Two nos. of color photo printer, Model No- HP Photo Smart Ink Advantage 6525 e-All-in-one printer.

FLIR T650sc HIGH SENSITIVITY INFRARED CAMERA ARRIVED AT BIOMEDICAL INFRARED IMAGE PROCESSING LABORATORY

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FLIR E60 HIGH SENSITIVITY INFRARED CAMERA ARRIVED AT BIOMEDICAL INFRARED IMAGE PROCESSING LABORATORY

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DBT-TU-JU database is to provide a breast thermogram database that is annotated with the ground truth images of the suspicious regions. Along with the result of breast thermography,the database comprises of the results of other breast imaging methodologies. the DBT-TU-JU database contains 1100 breast thermograms of 100 subjects. Due to the necessity of evaluating any breast abnormality detection system, this study emphasizes the generation of the ground truth images of the hotspot areas, whose presence in a breast thermogram signifies the presence of breast abnormality. With the generated ground truth images, we compared the results of six state-of-the-art image segmentation methods using five supervised evaluation metrics to identify the proficient segmentation methods for hotspot extraction. Based on the evaluation results, the Fractional-Order Darwinian particle swarm optimization, Region growing, Mean shift and Fuzzy cmeans clustering are found to be more efficient in comparison to k-means clustering and Threshold based segmentation methods.

Sample Images of DBT-TU-JU Dataset

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[1] Mrinal Kanti Bhowmik, Usha Rani Gogoi, Gautam Majumdar, Dhritiman Datta, Anjan Kumar Ghosh, Debotosh Bhattacharjee, "Designing of Ground Truth Annotated DBT-TU-JU Breast Thermogram Database towards Early Abnormality Prediction", IEEE Journal of Biomedical and Health Informatics (JBHI) (Formerly IEEE Transactions on Information Technology in Biomedicine), Indexed by Science Citation Index (SCI), vol. 22, issue 4, 2018. DOI.10.1109/JBHI.2017.2740500.  Download

Thermograms of the knee area of patients suffering from inflammatory arthritis diseases have been digitally recorded by our research team from 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 (5th author). The acquisition of thermogram has been performed by following the proposed capturing standards detailed above in the paper. Six thermogram views (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) of knee region was captured

Sample Images

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Journals

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[1] Kakali Das, Satyabrata Nath, and Mrinal Kanti Bhowmik "Role of Infrared Imaging for Detection of Subclinical Inflammation of Joint", Journal of Clinical and Diagnostic Research, JCDR Pre Publishing, Indexed by Web of Science, Accepted on: 9th October, 2021.

[2] 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.

[3] 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

[4] 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

[5] 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

[6] 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

[7] 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

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[1] 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, 4^th - 7^th June, 2018.  Download

[2] 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, 3^rd - 5^th July, 2017, Indian Institute of Technology Delhi(IIT-Delhi), Electronic ISBN: 978-1-5090-3038-5.  Download

[3] 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), 17^th - 21^st April, 2016, Baltimore Convention Center, Baltimore, MD, United States(Scopus Index).  Download

[4] 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, 3^rd - 5^th July, 2017, Indian Institute of Technology (IIT) Delhi, Electronic ISBN: 978-1-5090-3038-5.  Download

[5] 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, 14^th - 15^th September, 2015, Assam University, Silchar, ISBN: 978-1-4672-6707-2.  Download

[6] 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, 26^th - 27^th July, 2014.