CAD for Interstitial Lung Disease (ILD)

According to the latest WHO data published in 2017, deaths due to Lung Disease in India has reached 896,779 or 10.19% of total deaths occurred in that year, securing 4th rank globally in the list of deaths caused by lung disease. The Interstitial Lung Disease (ILD) is one of the major cause apart from Chronic Obstructive Pulmonary Disease (COPD) and Asthma. ILD is a general category that includes many different lung conditions. In 2013, ILD affected 595,000 people globally, this resulted in 471,000 deaths. ILDs are regrouped more than 150 histological diagnoses associated with disorders of the lung parenchyma. ILD presents with symptoms similar to other chronic respiratory conditions and is frequently misdiagnosed as most commonly as COPD and heart failure. Prompt diagnosis of ILD is important to ensure appropriate care of the patients, and to enable them to be considered for clinical trials.

Interstitial Lung Disease (ILD) pattern impression can be captured in High-Resolution Computed Tomography (HRCT) and proven effective in practice for early detection. However, ILDs are a mixture of multiple patterns. ILDs can be characterized by the gradual alteration of the lung parenchyma leading to breathing dysfunction. They regroup more than 150 histological diagnoses associated with disorders of the lung parenchyma. The physician perceptual categories for identification of ILD are shown in figure below.

ILDs are a complex group of disorders. Many cases found to have a combination of multiple ILD patterns. Hence, in this study the most frequently occurring ILD patterns viz. Consolidation, Emphysema, Fibrosis, Ground Glass Opacity, Nodular and Normal are chosen.ILDs are characterized by their textural properties, The analysis of ILDs is commonly considered as a texture analysis problem. In literature, many textural feature extraction techniques such as DCT, DWT, and Gabor etc. are reported to be useful for classification and retrieval of ILD patterns.

The objective of the CDSS for the ILD is to help radiologists by providing the second opinion for the decision making on the type of ILD pattern by retrieving similar patterns from the database. However, the extent of the disease inside the lung boundary is often suffered from inter-personal variation between the radiologists due to its complexities.

Highlights:

1. Completed MeitY sponsored project Content-based Image Retrieval for Medical Images (Nov 2009 – Apr 2012)
2. Completed MeitY sponsored project Clinical decision support system and self-learning tool for radiologists for Lung CT using Content-Based Image Retrieval (Oct 2013 – Jan 2017)

Publications:

Conferences (10):

1. Jatindra K. Dash, Mandar Kale, Sudipta Mukhopadhyay, Niranjan Khandelwal, Nidhi Prabhakar, Mandeep Garg, and Naveen Kalra, “An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functions”, SPIE Medical Imaging 2017.
2. Mandar Kale, Sudipta Mukhopadhyay, Jatindra K. Dash, Mandeep Garg, and Niranjan Khandelwal, "Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine : role of databases on performance", Proc. SPIE 9785, Medical Imaging 2016, San Diego, USA , 27 February - 03 March, 2016.
3. Rahul Das Gupta, Sudipta Mukhopadhyay, Jatindra Kumar Dash, "Content Based Retrieval of Interstitial Lung Disease Patterns using Spatial Distribution of Intensity, Gradient Magnitude and Gradient Direction", Proc. International Conference on Systems in Medicine and Biology 2016, IIT Kharagpur, India, 04 January - 07 January, 2016.
4. Jatindra Kumar Dash, Vaddepalli Madhavi, Sudipta Mukhopadhyay, Niranjan Khandelwal and Prafulla Kumar, "Segmentation of Interstitial Lung Disease Patterns in HRCT images", presented in SPIE Medical Imaging, 21-26 February 2015, Orlando, FL, USA.
5. Jatindra Kumar Dash, Sudipta Mukhopadhyay, Mandeep Kumar Garg, Nidhi Prabhakar, Niranjan Khandelwal, "Multi-classifier framework for lung tissue classification", Proc. IEEE Students' Technology Symposium (IEEE TechSym 2014), 28 February - 2 March 2014, Indian Institute of Technology Kharagpur, India.
6. Jatindra Kumar Dash, Sudipta Mukhopadhyay, Niranjan Khandelwal, "Complementary Cumulative Precision Distribution: A new graphical metric for medical image retrieval system", Proc. SPIE 9037, Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, 15-20 February 2014.
7. Jatindra Kumar Dash, Sudipta Mukhopadhyay, Mandeep Kumar Garg, Nidhi Prabhakar, Niranjan Khandelwal, “Wavelet-based rotation invariant texture feature for lung tissue classification and retrieval”, Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 15-20 February 2014.
8. Jatindra K. Dash, Sudipta Mukhopadhyay, Nidhi Prabhakar, Mandeep Garg, and Niranjan Khandelwal, "Content-based image retrieval for interstitial lung diseases using classification confidence" ,SPIE Medical Imaging, 86702Y-86702Y-8, 2013.
9. Jatindra Kumar Dash, Rahul Das Gupta, Sudipta Mukhopadhyay, Niranjan Khandelwal, Pinakpani Bhattacharya, Mandeep Garg, "Content-based image retrieval for interstitial lung diseases" Signal Processing, Computing and Control (ISPCC), 2012 IEEE International Conference, 2012.
10. Jatindra K. Dash, Sudipta Mukhopadhyay and Niranjan Khandelwal, "Content-Based Image Retrieval System for Interstitial Lung Diseases", Indian Journal of Medical Informatics 6 (2), 42-43,2012.

Journals (5):

1. Jatindra Kumar Dash, Sudipta Mukhopadhyay, "Content-based image retrieval system for HRCT lung images: Assisting radiologists in self-learning and diagnosis of Interstitial Lung Diseases", accepted in Multimedia Tools and Applications (Springer Journal) on Nov 9, 2020.
2. Mandar Kale, Sudipta Mukhopadhyay, "Effective image retrieval method of natural images in a large database using fuzzy class membership," J. Electron. Imaging 29(5), 053012 (2020)
   1. Jatindra Kumar Dash, Sudipta Mukhopadhyay, Rahul Das Gupta, "Multiple classifier system using classification confidence for texture classification", Multimedia Tools Application, Online on January 2016 (DOI 10.1007/s11042-015-3231-z).
   2. Jatindra Kumar Dash, Sudipta Mukhopadhyay, Rahul Das Gupta, "Content-based image retrieval using fuzzy class membership and rules based on classifier confidence", IET Image Processing, Volume 9, Issue 9, pp 836-848, September 2015, doi: 10.1049/iet-ipr.2014.0299.
   3. RD Gupta, JK Dash, Sudipta Mukhopadhyay, "Rotation invariant textural feature extraction for image retrieval using eigen value analysis of intensity gradients and multi-resolution analysis", Pattern Recognition (Elsevier),2013.
   4. Sudipta Mukhopadhyay, Jatindra Kumar Dash, RD Gupta, "Content-based texture image retrieval using fuzzy class membership", Pattern Recognition Letters 34 (6), 646-654 . 2013
   5. Jatindra Kumar Dash, Sudipta Mukhopadhyay, "Similarity learning for texture image retrieval using multiple classifier system", Multimedia Tools and Applications.2012.