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Proceedings Paper

Conventional and phase contrast x-ray imaging techniques and ultrasound imaging method in breast tumor detection: initial comparison studies using phantom
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Paper Abstract

The objective of this study was to demonstrate the capability of the high-energy in-line phase contrast imaging in detecting the breast tumors which are undetectable by conventional x-ray imaging but detectable by ultrasound. Experimentally, a CIRS multipurpose breast phantom with heterogeneous 50% glandular and 50% adipose breast tissue was imaged by high-energy in-line phase contrast system, conventional x-ray system and ultrasonography machine. The high-energy in-line phase contrast projection was acquired at 120 kVp, 0.3 mAs with the focal spot size of 18.3 μm. The conventional x-ray projection was acquired at 40 kVp, 3.3 mAs with the focal spot size of 22.26 μm. Both of the x-ray imaging acquisitions were conducted with a unique mean glandular dose of 0.08 mGy. As the result, the high-energy in-line phase contrast system was able to detect one lesion-like object which was also detected by the ultrasonography. This object was spherical shape with the length of about 12.28 mm. Also, the conventional x-ray system was not able to detect any objects. This result indicated the advantages provided by high-energy in-line phase contrast over conventional x-ray system in detecting lesion-like object under the same radiation dose. To meet the needs of current clinical strategies for high-density breasts screening, breast phantoms with higher glandular densities will be employed in future studies.

Paper Details

Date Published: 19 February 2018
PDF: 6 pages
Proc. SPIE 10495, Biophotonics and Immune Responses XIII, 1049513 (19 February 2018); doi: 10.1117/12.2288555
Show Author Affiliations
Yuran Guo, The Univ. of Oklahoma (United States)
Di Wu, The Univ. of Oklahoma (United States)
Farid H. Omoumi, The Univ. of Oklahoma (United States)
Yuhua Li, The Univ. of Oklahoma (United States)
Molly Donovan Wong, The Univ. of Oklahoma (United States)
Muhammad U. Ghani, The Univ. of Oklahoma (United States)
Bin Zheng, The Univ. of Oklahoma (United States)
Hong Liu, The Univ. of Oklahoma (United States)


Published in SPIE Proceedings Vol. 10495:
Biophotonics and Immune Responses XIII
Wei R. Chen, Editor(s)

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