Literature DB >> 28777746

Characterization of breast calcification types using dual energy x-ray method.

N Martini1, V Koukou, G Fountos, C Michail, A Bakas, I Kandarakis, R Speller, G Nikiforidis.   

Abstract

Calcifications are products of mineralization whose presence is usually associated with pathological conditions. The minerals mostly seen in several diseases are calcium oxalate (CaC2O4), calcium carbonate (CaCO3) and hydroxyapatite (HAp). Up to date, there is no in vivo method that could discriminate between minerals. To this aim, a dual energy x-ray method was developed in the present study. An analytical model was implemented for the determination of the Calcium/Phosphorus mass ratio ([Formula: see text]). The simulation was carried out using monoenergetic and polyenergetic x-rays and various calcification thicknesses (100-1000 [Formula: see text]) and types (CaC2O4, CaCO3, HAp). The experimental evaluation of the method was performed using the optimized irradiation conditions obtained from the simulation study. X-ray tubes, combined with energy dispersive and energy integrating (imaging) detectors, were used for the determination of the [Formula: see text] in phantoms of different mineral types and thicknesses. Based on the results of the experimental procedure, statistical significant difference was observed between the different types of minerals when calcification thicknesses were 300 [Formula: see text] or higher.

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Year:  2017        PMID: 28777746     DOI: 10.1088/1361-6560/aa8445

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  3 in total

1.  Classification of breast microcalcifications using dual-energy mammography.

Authors:  Bahaa Ghammraoui; Andrey Makeev; Ahmed Zidan; Alaadin Alayoubi; Stephen J Glick
Journal:  J Med Imaging (Bellingham)       Date:  2019-03-12

2.  Exploring CNN potential in discriminating benign and malignant calcifications in conventional and dual-energy FFDM: simulations and experimental observations.

Authors:  Andrey Makeev; Gabriela Rodal; Bahaa Ghammraoui; Andreu Badal; Stephen J Glick
Journal:  J Med Imaging (Bellingham)       Date:  2021-05-13

3.  Finite Element Modeling of Quantitative Ultrasound Analysis of the Surgical Margin of Breast Tumor.

Authors:  Koushik Paul; Samuel Razmi; Barbara A Pockaj; Leila Ladani; Jeremy Stromer
Journal:  Tomography       Date:  2022-03-01
  3 in total

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