CBIR-CAD for Lung Nodules

Worldwide, lung cancer is the leading cause of cancer-related deaths in men, and the second most leading cause in women. In India, lung cancer constitutes 6.9% of all new cancer cases and 9.3% of all cancer-related deaths in both sexes. In the USA, Lung cancer accounts for most cancer deaths (about 27% of all cancer deaths) in both men and women. Only 15% of lung cancers are diagnosed at a localized stage, for which the 5-year survival rate is 54%. So, early detection of lung nodules, a potential manifestation of lung cancer, is very important to increase the 5-year survival rate. CT is the best modality for detection of lung cancer. A thoracic CT scan consists of hundreds of CT images, thus making nodule detection a very tiring process for the radiologists. Automated CAD will help the radiologists to increase the accuracy of nodule detection. Also, the proposed CDSS will help the clinician for differential diagnosis. The retrieved nodule cases for the given query nodule will help the budding radiologists in self-learning. 

Also, commercially available CADs are trained on the CT data of subjects from Caucasian race. In this scenario, CAD trained on the CT data from local subjects will improve the accuracy of the system.

Highlights:

1. Oct 2013 - Jan 2017: Completed a project titled, "Clinical decision support system and self-learning tool for radiologists for Lung CT using Content-Based Image Retrieval," sponsored by Ministry of Electronics and Information Technology, Govt. of India in collaboration with Postgraduate Institute of Medical Education & Research, Chandigarh.

2. Nov 2009 - Apr 2012: Completed a project titled, "Content-based Image Retrieval for Medical Images," sponsored by Ministry of Electronics and Information Technology, Govt. of India in collaboration with Postgraduate Institute of Medical Education & Research, Chandigarh.

Publications: 

Journals:

1. Shrikant A. Mehre, Ashis Kumar Dhara, Mandeep Garg, Naveen Kalra, Niranjan Khandelwal, and Sudipta Mukhopadhyay, "Content-Based Image Retrieval System for Pulmonary Nodules using Optimal Feature Sets and Class Membership-Based Retrieval," Journal of Digital Imaging, pp 1-24, October 2018.  DOI:https://doi.org/10.1007/s10278-018-0136-1

2. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg and Niranjan Khandelwal, "Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-learning and Diagnosis of Lung Cancer," Journal of Digital Imaging, Vol. 30, Issue 1, pp 63–77, February 2017.

3. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Satrajit Chakrabarty, Man-deep Garg, and Niranjan Khandelwal, "Quantitative Evaluation of Margin Sharpness of Pulmonary Nodules in Lung CT Images," IET Image Processing, Vol. 10, Iss. 9, pp. 631–637, 2016.

4. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, and Niranjan Khandelwal, “A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images,” Journal of Digital Imaging (ISSN: 0897-1889), Springer, vol. 29, no. 4, pp. 466-475, August 2016.

5. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Pramit Saha, Mandeep Garg, and Niranjan Khandelwal, "Differential Geometry-based Techniques for Characterization of Boundary Roughness of Pulmonary Nodules in CT Images," International Journal of Computer Assisted Radiology and Surgery, Springer, Vol 11, No. 3, pp. 337-349, 2016.

6. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Rahul Das Gupta, Mandeep Garg and Niranjan Khandelwal, "A Segmentation Framework of Pulmonary Nodules in Lung CT Images," Journal of Digital Imaging, Volume 29, Issue 1, pp 86-103, January 2016; DOI: 10.1007/s10278-015-9801-9.

7. Ashis Kumar Dhara, Chanukya Krishna Chama, Sudipta Mukhopadhyay, Niranjan Khandelwal, “Content-Based Image Retrieval System for Differential Diagnosis of Lung Cancer,” Indian Journal of Medical Informatics (IJMI), Vol 5, No 2, 2012.

8. Ashis Kumar Dhara, Sudipta Mukhopadhyay and Niranjan Khandelwal, “Computer Aided Detection and Analysis of Pulmonary Nodule from CT Images: A Survey,” IETE Journal of Technical Review, Vol. 29, No. 4, pp. 165-175, July-August 2012. 

Patents:

1. Sudipta Mukhopadhyay, Shrikant Mehre, "Method and apparatus for computer-aided detection of lung nodules in CT images," Patent filing no. TEMP/E-1/65748/2022-DEL dated 06-Oct-2022. (under evaluation)

Conferences:

1. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Shrikant A. Mehre, Niranjan Khandelwal, Nidhi Prabhakar, Mandeep Garg and Naveen Kalra, “A Study of Retrieval Accuracy of Pulmonary Nodules Based on External Attachment,” SPIE Medical Imaging 2017.

2. Mandeep Garg, Niranjan Khandelwal, Naveen Kalra, Sudipta Mukhopadhyay, Shrikant Mehre, “Content-based image retrieval (CBIR) based computer aided diagnosis (CAD) for evaluation of lung nodules: an indigenously developed tool assisting radiologists in self-learning and diagnosis of lung cancer,” ECR-2017.

3. Shrikant A. Mehre, Sudipta Mukhopadhyay, Anirvan Dutta, Nagam Chaithan Harsha, Ashis Kumar Dhara, and Niranjan Khandelwal, "An automated lung nodule detection system for CT images using synthetic minority oversampling," Proc. SPIE 9785, Medical Imaging 2016, San Diego, USA, 27 February - 03 March 2016.

4. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, and Niranjan Khandelwal, "Classification of Pulmonary Nodules in Lung CT Images using Shape and Texture Features," Proc. SPIE 9785, Medical Imaging 2016, San Diego, USA, 27 February - 03 March 2016.

5. Raunak Tibrewal, Rohan Jain Ashis Kumar Dhara, Sudipta Mukhopadhyay and Niranjan Khandelwal, "Automated Detection of Solitary Pulmonary Nodule from Lung CT Images using Rule Based Classifier," in the proceedings of International Conference on VLSI and Signal Processing 2014, 10-12 January, IIT Kharagpur

6. Chanukya Krishna Chama, Sudipta Mukhopadhyay, Prabir Kumar Biswas, Ashis Kumar Dhara, Niranjan Khandelwal, and Mahendra Kumar, “Automated Lung Field Segmentation in CT images using Mean Shift Clustering and Geometrical Features,” SPIE Medical Imaging, 9 - 14 February 2013, Florida, USA, Vol. 8670.

7. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Naved Alam and Niranjan Khandelwal, “Measurement of Spiculation Index in 3D for Solitary Pulmonary Nodules in Volumetric Lung CT Images,” SPIE Medical Imaging, 9 - 14 February 2013, Florida, USA, Vol. 8670.

8. Ashis Kumar Dhara, Sudipta Mukhopadhyay and Niranjan Khandelwal “3D texture analysis of solitary pulmonary nodules using co-concurrence matrix from volumetric lung CT images,” SPIE Medical Imaging, 9 - 14 February 2013, Florida, USA, Vol. 8670.

9. Ashis Kumar Dhara and Sudipta Mukhopadhyay, "A hybrid preprocessing method using geometry-based diffusion and selective enhancement filtering for pulmonary nodule detection," poster presentation, SPIE Medical Imaging, 4-9 February 2012, San Diego, California.