Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis
Апстракт
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.
Кључне речи:
multifractal analysis / microcalcifications / masse / mammography / image processingИзвор:
Nuclear Technology & Radiation Protection, 2015, 30, 1, 61-69Издавач:
- Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
DOI: 10.2298/NTRP1501061S
ISSN: 1451-3994
WoS: 000354230200008
Scopus: 2-s2.0-84929255764
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Stojić, Tomislav PY - 2015 UR - https://machinery.mas.bg.ac.rs/handle/123456789/2210 AB - 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. PB - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd T2 - Nuclear Technology & Radiation Protection T1 - Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis EP - 69 IS - 1 SP - 61 VL - 30 DO - 10.2298/NTRP1501061S ER -
@article{ author = "Stojić, Tomislav", year = "2015", abstract = "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.", publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd", journal = "Nuclear Technology & Radiation Protection", title = "Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis", pages = "69-61", number = "1", volume = "30", doi = "10.2298/NTRP1501061S" }
Stojić, T.. (2015). Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis. in Nuclear Technology & Radiation Protection Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 30(1), 61-69. https://doi.org/10.2298/NTRP1501061S
Stojić T. Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis. in Nuclear Technology & Radiation Protection. 2015;30(1):61-69. doi:10.2298/NTRP1501061S .
Stojić, Tomislav, "Visual enhancement of microcalcifications and masses in digital mammograms using modified multifractal analysis" in Nuclear Technology & Radiation Protection, 30, no. 1 (2015):61-69, https://doi.org/10.2298/NTRP1501061S . .