Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise.
Journal
IEEE transactions on medical imaging
ISSN: 1558-254X
Titre abrégé: IEEE Trans Med Imaging
Pays: United States
ID NLM: 8310780
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
pubmed:
10
6
2021
medline:
15
12
2021
entrez:
9
6
2021
Statut:
ppublish
Résumé
Virtual clinical trials (VCTs) of medical imaging require realistic models of human anatomy. For VCTs in breast imaging, a multi-scale Perlin noise method is proposed to simulate anatomical structures of breast tissue in the context of an ongoing breast phantom development effort. Four Perlin noise distributions were used to replace voxels representing the tissue compartments and Cooper's ligaments in the breast phantoms. Digital mammography and tomosynthesis projections were simulated using a clinical DBT system configuration. Power-spectrum analyses and higher-order statistics properties using Laplacian fractional entropy (LFE) of the parenchymal texture are presented. These objective measures were calculated in phantom and patient images using a sample of 140 clinical mammograms and 500 phantom images. Power-law exponents were calculated using the slope of the curve fitted in the low frequency [0.1, 1.0] mm
Identifiants
pubmed: 34106850
doi: 10.1109/TMI.2021.3087958
pmc: PMC8669622
mid: NIHMS1760805
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
3436-3445Subventions
Organisme : NCI NIH HHS
ID : R01 CA154444
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB018958
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB025829
Pays : United States
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