| Title: |
Automatic Quantification of Breast Arterial Calcification on Mammographic Images |
| Authors: |
Mazidi, N; Roobottom, C; Masala, G |
| Publisher Information: |
Springer Nature |
| Publication Year: |
2019 |
| Collection: |
eSpace - Manchester Metropolitan University's Research Repository |
| Description: |
© 2019, Springer Nature Singapore Pte Ltd. This paper describes the research and development of an automatic computer system that is used to quantify breast arterial calcifications in mammography scans. A few prior studies have attempted to establish a relationship between breast arterial calcification (BAC) and the rate of coronary artery disease (CAD) risk factors. The majority of these studies demonstrated a positive association between BAC and increasing age. Large scale cohort studies and retrospective studies have almost uniformly suggested a strong association between BAC and cardiovascular disease-related morbidity and mortality. This strong association of BAC with cardiovascular pathology suggests that BAC should also be persistently associated with radiographically determined CAD. A method of image processing, segmentation, and quantification used to highlight and recognise calcified blood vessels in the breast is proposed and described in detail. This project aims to introduce a new use for digital Mammography, which is currently solely used for diagnosing breast cancer in female patients. A method of detecting BAC is introduced at no additional cost, having an adequate degree of accuracy, around 82%, which means that this type of system could be used to assist a radiographer in diagnosing BAC by indicating whether the patient has a high or low severity of calcification. |
| Document Type: |
conference object |
| File Description: |
text |
| Language: |
English |
| Relation: |
https://e-space.mmu.ac.uk/623234/; https://link.springer.com/chapter/10.1007%2F978-981-13-8566-7_28 |
| Availability: |
https://e-space.mmu.ac.uk/623234/1/imed19-001.pdf |
| Rights: |
in_copyright ; info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.1FAE078B |
| Database: |
BASE |