Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis
Microcalcifications and masses, as breast tissue anomalies (deviations from observed background regularity), may be viewed as statistically rare occurrences in a mammogram image. After recognizing their principal common features - bright image parts not belonging to the surrounding tissue,...
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| Format: | Article |
| Language: | English |
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VINCA Institute of Nuclear Sciences
2015-01-01
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| Series: | Nuclear Technology and Radiation Protection |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-3994/2015/1451-39941501061S.pdf |
| _version_ | 1818274051146121216 |
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| author | Stojić Tomislav M. |
| author_facet | Stojić Tomislav M. |
| author_sort | Stojić Tomislav M. |
| collection | DOAJ |
| description | Microcalcifications and masses, as breast tissue anomalies (deviations from
observed background regularity), may be viewed as statistically rare
occurrences in a mammogram image. After recognizing their principal common
features - bright image parts not belonging to the surrounding tissue, with
significant local contrast just around the edges - several modifications to
multifractal image analysis have been introduced. Starting from a mammogram
image, the proposed method creates corresponding multifractal images.
Additional post-processing, based on mathematical morphology, refines the
procedure by selecting and outlining only regions with possible
microcalcifications and masses. The proposed method was tested through
referent mammograms from the MiniMIAS database. In all cases involving the
said database, the method has successfully enhanced declared anomalies:
microcalcifications and masses. The results obtained have shown that the
described procedure may provide visual assistance to radiologists in clinical
mammogram examinations or be used as a preprocessing step for further
mammogram processing, such as segmentation, classification, and automatic
detection of suspected bright breast tissue lesions. |
| first_indexed | 2024-12-12T22:07:42Z |
| format | Article |
| id | doaj.art-abf126238d8b46518850e7816c818762 |
| institution | Directory Open Access Journal |
| issn | 1451-3994 |
| language | English |
| last_indexed | 2024-12-12T22:07:42Z |
| publishDate | 2015-01-01 |
| publisher | VINCA Institute of Nuclear Sciences |
| record_format | Article |
| series | Nuclear Technology and Radiation Protection |
| spelling | doaj.art-abf126238d8b46518850e7816c8187622022-12-22T00:10:20ZengVINCA Institute of Nuclear SciencesNuclear Technology and Radiation Protection1451-39942015-01-01301616910.2298/NTRP1501061S1451-39941501061SVisual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysisStojić Tomislav M.0Faculty of Mechanical Engineering, BelgradeMicrocalcifications and masses, as breast tissue anomalies (deviations from observed background regularity), may be viewed as statistically rare occurrences in a mammogram image. After recognizing their principal common features - bright image parts not belonging to the surrounding tissue, with significant local contrast just around the edges - several modifications to multifractal image analysis have been introduced. Starting from a mammogram image, the proposed method creates corresponding multifractal images. Additional post-processing, based on mathematical morphology, refines the procedure by selecting and outlining only regions with possible microcalcifications and masses. The proposed method was tested through referent mammograms from the MiniMIAS database. In all cases involving the said database, the method has successfully enhanced declared anomalies: microcalcifications and masses. The results obtained have shown that the described procedure may provide visual assistance to radiologists in clinical mammogram examinations or be used as a preprocessing step for further mammogram processing, such as segmentation, classification, and automatic detection of suspected bright breast tissue lesions.http://www.doiserbia.nb.rs/img/doi/1451-3994/2015/1451-39941501061S.pdfmammographymultifractal analysismicrocalcificationsmasseimage processing |
| spellingShingle | Stojić Tomislav M. Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis Nuclear Technology and Radiation Protection mammography multifractal analysis microcalcifications masse image processing |
| title | Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis |
| title_full | Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis |
| title_fullStr | Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis |
| title_full_unstemmed | Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis |
| title_short | Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis |
| title_sort | visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis |
| topic | mammography multifractal analysis microcalcifications masse image processing |
| url | http://www.doiserbia.nb.rs/img/doi/1451-3994/2015/1451-39941501061S.pdf |
| work_keys_str_mv | AT stojictomislavm visualenhancementofmicrocalcificationsandmassesindigitalmammogramsusingmodifiedmultifractalanalysis |