Monte Carlo simulation studies for the determination of microcalcification thickness and glandular ratio through dual-energy mammography. (August 2017)
- Record Type:
- Journal Article
- Title:
- Monte Carlo simulation studies for the determination of microcalcification thickness and glandular ratio through dual-energy mammography. (August 2017)
- Main Title:
- Monte Carlo simulation studies for the determination of microcalcification thickness and glandular ratio through dual-energy mammography
- Authors:
- Del Lama, L.S.
Godeli, J.
Poletti, M.E. - Abstract:
- Abstract: The majority of breast carcinomas can be associated to the presence of calcifications before the development of a mass. However, the overlapping tissues can obscure the visualization of microcalcification clusters due to the reduced contrast-noise ratio (CNR). In order to overcome this complication, one potential solution is the use of the dual-energy (DE) technique, in which two different images are acquired at low (LE) and high (HE) energies or kVp to highlight specific lesions or cancel out tissue background. In this work, the DE features were computationally studied considering simulated acquisitions from a modified PENELOPE Monte Carlo code. The employed irradiation geometry considered typical distances used in digital mammography, a CsI detection system and an updated breast model composed of skin, microcalcifications and glandular and adipose tissues. The breast thickness ranged from 2 to 6 cm with glandularities of 25%, 50% and 75%, where microcalcifications with dimensions from 100 up to 600 μ m were positioned. In general, results pointed an efficiency index better than 87% for the microcalcification thicknesses and better than 95% for the glandular ratio. The simulations evaluated in this work can be used to optimize the elements from the DE imaging chain, in order to become a complementary tool for the conventional single-exposure images, especially for the visualization and estimation of calcification thicknesses and glandular ratios. Abstract :Abstract: The majority of breast carcinomas can be associated to the presence of calcifications before the development of a mass. However, the overlapping tissues can obscure the visualization of microcalcification clusters due to the reduced contrast-noise ratio (CNR). In order to overcome this complication, one potential solution is the use of the dual-energy (DE) technique, in which two different images are acquired at low (LE) and high (HE) energies or kVp to highlight specific lesions or cancel out tissue background. In this work, the DE features were computationally studied considering simulated acquisitions from a modified PENELOPE Monte Carlo code. The employed irradiation geometry considered typical distances used in digital mammography, a CsI detection system and an updated breast model composed of skin, microcalcifications and glandular and adipose tissues. The breast thickness ranged from 2 to 6 cm with glandularities of 25%, 50% and 75%, where microcalcifications with dimensions from 100 up to 600 μ m were positioned. In general, results pointed an efficiency index better than 87% for the microcalcification thicknesses and better than 95% for the glandular ratio. The simulations evaluated in this work can be used to optimize the elements from the DE imaging chain, in order to become a complementary tool for the conventional single-exposure images, especially for the visualization and estimation of calcification thicknesses and glandular ratios. Abstract : Highlights: An updated breast model was simulated for dual-energy applications. Several parameters were tested and evaluated for detection and estimation. Good correlation was found between estimated and nominal values. Microcalcifications as small as 200 μ m were detected. Microcalcification thicknesses as small as 200 μ m were well estimated. … (more)
- Is Part Of:
- Radiation physics and chemistry. Volume 137(2017)
- Journal:
- Radiation physics and chemistry
- Issue:
- Volume 137(2017)
- Issue Display:
- Volume 137, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 137
- Issue:
- 2017
- Issue Sort Value:
- 2017-0137-2017-0000
- Page Start:
- 157
- Page End:
- 162
- Publication Date:
- 2017-08
- Subjects:
- Dual-energy mammography -- Monte Carlo simulations -- Breast cancer
Radiation chemistry -- Periodicals
Radiometry -- Periodicals
Radiation -- Periodicals
Chimie sous rayonnement -- Périodiques
539.2 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0969806X ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/radiation-physics-and-chemistry/ ↗ - DOI:
- 10.1016/j.radphyschem.2016.02.005 ↗
- Languages:
- English
- ISSNs:
- 0969-806X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7227.984000
British Library DSC - BLDSS-3PM
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