Mr. Eun Joon Kim Profile

Eun Joon Kim

at KAIST

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Proceedings Article | 20 March 2015 Paper

Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes

Wissam Baddar, Eun Joon Kim, Dae Hoe Kim, Yong Man Ro

Proceedings Volume 9414, 941421 (2015) https://doi.org/10.1117/12.2082031

KEYWORDS: Photovoltaics, Particles, Digital breast tomosynthesis, Breast, Signal to noise ratio, Feature extraction, Gaussian filters, Computer aided diagnosis and therapy, Tissues, Mammography

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This paper presents a novel method for enhancing the contrast of microcalcifications in digital breast tomosynthesis projection views for detection purposes. The proposed method relies on the correlation between the projection views in order to reduce the effect of noise, due to the low-dose exposure, and increase the contrast of the microcalcification particles for microcalcification cluster detection purposes. The method performs a series of multi-shift operations to capture the microcalcification particle movement information and compensate it in order to enhance microcalcification particles contrast. Furthermore, the proposed approach utilizes the projection view correlation in order to reduce the falsely detected regions of interest, and improve the classification of the detected regions into false positives or actual microcalcification clusters. Comparative experiments have been performed to quantitatively measure the contrast enhancement of microcalcification particles and its effect on the MC cluster detection. To that end, the contrast to noise ratio have been calculated and compared with some with previous methods. Furthermore, the free response receiver operating characteristic (FROC) curve have been used to measure the effect of the proposed enhancement on the microcalcification cluster detectability.

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