Breast Cancer Detection

Detection of microcalcification cluster Detection of masses (blue boundaries are detected masses and red circles are ground truths)

Breast cancer is by far the most common cancer diagnosed in women worldwide, ranking second in both sexes combined. It is the most common cause of death from cancer in women worldwide, ranking fifth in both sexes combined. Mammography is the most efficient and well-known technique for the early detection of breast cancer. Screening mammography typically involves taking two views of the breast, from above (cranial-caudal view, CC) and from an oblique or angled view (mediolateral-oblique view, MLO). There are various abnormalities found in mammograms like Microcalcification, Mass, Architectural Distortion and Bilateral Asymmetry, which can act as an early sign of breast cancer. Microcalcifications are actually tiny specks of mineral deposits such as calcium. They are found scattered throughout the breast tissue, and they often occur in clusters. A mass is a space-occupying lesion seen on at least two projections or 'viewpoints' (CC, MLO). Mammograms can often show a breast lump or mass before it can be felt by palpation, which helps in early diagnosis of breast cancer. An architectural distortion is basically a disruption of the normal 'random' pattern of curvilinear and fine linear radiopaque structures normally seen on Mammograms. There is no visible mass, but the distortion often appears as a 'stellate' shape or with radiating spiculations. Bilateral asymmetry, as the name suggests, can be defined as the lack of symmetry between the same view images of the left and right breasts of a woman.

Highlights:

1. SICI Partnership Development Grant , 2012.

Publications:

1. Vikrant A. Karale, Tulika Singh, Anup Sadhu, Niranjan Khandelwal, and Sudipta Mukhopadhyay, "Reduction of false positives in the screening CAD tool for microcalcification detection", Sadhana, Vol. 45, No. 1, 2020 (DOI:10:1007/s12046-019-1260-4).

2. Vikrant A. Karale, Joshua P. Ebenezer, Jayasree Chakraborty, Tulika Singh, Anup Sadhu, Niranjan Khandelwal, and Sudipta Mukhopadhyay,“A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms”, Journal of digital imaging, Vol. 32, No. 5, pp. 728-745, 2019, (DOI:10:1007/s10278-019- 00249-5).

3. Vikrant A. Karale, Sudipta Mukhopadhyay, Tulika Singh, Niranjan Khandelwal, and Anup Sadhu, "Automated detection of microcalcification clusters in mammograms," in SPIE Medical Imaging, vol. 10134, pp. 101342R-101342R-7, International Society for Optics and Photonics, 2017.

4. Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Rangaraj M. Rangayyan, Anup Sadhu, Veenu Singla, Niranjan Khandelwal, Pinakpani Bhattacharyya, Paulo M. Azevedo-Marques, "Detection of the nipple in mammograms with Gabor filters and the Radon transform", Biomedical Signal Processing and Control (Elsevier), Pages 80–89, Volume 15, January 2015.

5. Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, and Anup Sadhu, “Automatic Characterization of Masses in Mammograms”, 6th International Conference on Bio-Medical Engineering and Informatics, Hangzhou, China, 16-18 December, 2013.

6. Rangaraj M. Rangayyan, Shantanu Banik, Jayasree Chakraborty, Sudipta Mukhopadhyay, and J. E. Leo Desautels, "Measures of Divergence of Oriented Patterns for the Detection of Architectural Distortion in Prior Mammograms" International Journal of Computer Assisted Radiology and Surgery, Vol. 8, No. 4,:pp: 527-545, 2013.

8. Rangaraj M. Rangayyan, Jayasree Chakraborty, Shantanu Banik, Sudipta Mukhopadhyay and Leo Desautels, “Detection of Architectural Distortion Using Coherence in Relation to the Expected Orientation of Breast Tissue”, 20-22 June, 2012, Rome, CBMS 2012.

9. J. Chakraborty, S. Mukhopadhyay, V. Singla, N. Khandelwal and R. M. Rangayyan, "Detection of masses in mammograms using region growing controlled by multilevel thresholding," 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Rome, pp. 1-6, 2012.

10. Jayasree Chakraborty, Sudipta Mukhopadhyay, Veenu Singla, Niranjan Khandelwal, Pinakpani Bhattacharyya, "Automatic Detection of Pectoral Muscle Using Average Gradient and Shape Based Feature", Journal of Digital Imaging J Digit Imaging, Vol. 25, no 3, pp: 387–399, Jun 2012.

11. Mainak Jas, Jayasree Chakraborty, Sudipta Mukhopadhyay, "An Atlas Based Approach to Segmenting MLO View Mammograms", ICIEV12, 18-19 May, 2012, Dhaka, Bangladesh.

12. Jayasree Chakraborty, Rangaraj M. Rangayyan, Shantanu Banik, Sudipta Mukhopadhyay, and J. E. Leo Desautels, "Detection of Architectural Distortion in Prior Mammograms Using Statistical Measures of Orientation of Texture", poster presentation, SPIE Medical Imaging, 4-9 February 2012, San Diego, California.

Patents:

1. Sudipta Mukhopadhyay, Vikrant Karale, "A system and method to detect microcalcification clusters in mammogram" patent application No. TEMP/E-1/2676/2018-KOL dated 19-Jan-2018.

2. Sudipta Mukhopadhyay, Subhendu Seth, "Method or apparatus to detect the microcalcifications in X-Ray Images using Nonlinear Energy Operator", patent application no.1372/KOL/2010, PTC application No. PCT/IN2011/000824 dated 05-Dec-2011.