IBIA: Indian Biological Images Archive
Image Data Submission Report
Generated on: 26 May 2026
| Project Accession: | IBIAP_1000000025 |
| Title: | PGIMER-IITKGP mammogram database images for microcalcification |
| Representative Image: |  |
| Description: | This database is created for microcalcification detection in mammograms. The images are in DICOM format, and the masks are text files containing the boundary points of the mark for the microcalcifications. The images are collected from PGIMER by the researchers of IIT Kharagpur. |
| Publications: | https://doi.org/10.1007/s10278-019-00249-5 |
| Associated Codes (URL only): | N/A |
| Funding agency: | |
| Grant Number: | |
| Ethics Statement: | N/A |
| Any Other Information : | The codes used in this study are available within the image dataset directory/folder. |
| Additional File: | N/A |
| Acknowledgments: | We acknowledge Prof. Niranjan Khandelwal, Prof. Tulika Singh of PGIMER, Dr Anup Sadhu of Kolkata Medical College, and Dr Vikrant A. Karale of IIT Kharagpur for their help in the preparation of the database. |
| Sr.No | First name | Last name | Organization | Designation | |
|---|---|---|---|---|---|
| 1 | Sudipta | Mukhopadhyay | smukho@ece.iitkgp.ac.in | IIT Kharagpur | Principal Investigator |
| 2 | Vikrant | Karale | vicky753@gmail.com | IIT Kharagpur | Research Scholar |
| 3 | Joshua | Ebenezer | joshuapeterebenezer@gmail.com | IIT Kharagpur | Research Scholar |
| 4 | Jayasree | Chakraborty | jayasree2@gmail.com | IIT Kharagpur | Research Scholar |
| 5 | Tulika | Singh | tulikardx@yahoo.com | PGIMER | Co-Investigator |
| 6 | Niranjan | Khandelwal | khandelwal.rad@gmail.com | PGIMER | Co-Principal Investigator |
| 7 | Anup | Sadhu | sadhujee1@gmail.com | Kolkata Medical College | Unspecified |
| Study Accession: | MAMOS_1000000030 |
| Title: | PGIMER-IITKGP mammogram database images for macrocalcification |
| Imaging Type: | Mammography (MAMO) |
| Imaging Sub-type: | Diagnostic Radiology |
| Summary: | 60 mammograms with calcification and 50 mammograms without microcalcification are added in the database. Images are in DICOM format. Each microcalcification image has a corresponding text file to depict the boundary of the microcalcification. MATLAB files are provided to convert the text files to a mask image and vice versa. A ReadMe file provides how to use these codes. |
| Keywords: | mammogram; macrocalcification; breast cancer; diagnostic imaging |
| Additional / Any Other Information: | N/A |
| Release Date: | April 16, 2026 |
| Access Licence Type: | Open Access |
Table 1. The sample types registered under this study are as follows:
The total number of samples registered under this study is: 110
| Sample Type ID | Organism | Taxon ID | Biological Entity | Laterality | Source Tissue | Source Cell/Cell-line | Cell Organelle |
|---|---|---|---|---|---|---|---|
| MAMOSMT_10000000070 | Homo sapiens | 9606 | Breast | Both | N/A | N/A | N/A |
Table 3. The experiment types registered under this study are as follows:
| Experiment Type ID | Instrument Name | Instrument Type | Manufacturer | Model |
|---|---|---|---|---|
| MAMOET_10000000036 | Mammography Machine | Digital mammography | Siemens | Mammomat Novation DR |
| Experimental Design Summary (MAMOET_10000000036) |
|---|
| Preprocessing Breast Region Segmentation, First, breast region is segmented using multilevel hierarchical thresholding (MLHT) to limit the search within the breast region. It also helps to remove various artifacts like tags or labels outside the breast region which may be detected as microcalcifications due to their high-intensity. Pre-emphasis Microcalcifications appear as tiny bright spots in mammograms. Since they often have very low contrast with respect to the background, a novel multiscale 2D non-linear energy operator (2D NEO) is proposed, which can enhance the contrast of microcalcifications over the background in mammograms. The Teagers energy operator (TEO) is a non-linear energy operator in 1D. PGIMER-IITKGP mammogram database is direct radiography (DR)-type private database having a resolution of 0.07 mm and a grayscale resolution of 12 bits, acquired from Post Graduate Institute of Medical Education and Research, Chandigarh, India. A set of 110 images, including 50 normal images and 60 images having one to five microcalcification clusters, are selected. The subtlety rating information of microcalcification clusters is not available for the PGIMER-IITKGP mammogram database. |
| Acquired Images Annotation Description (MAMOET_10000000036) |
|---|
| The locations of individual microcalcifications in the clusters for PGIMER-IITKGP database are identified by the experienced radiologist TS. |