Mammography image restoration based on a radiographic scattering model from a single projection: Experimental study
In conventional mammography, contrast sensitivity remains limited due to the superimposition of breast tissue and scattered X-rays, which induces low visibility of lesions in the breast and, thus, an excessive number of false-positive findings. Several methods, including digital breast tomosynthesis...
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Published in | Journal of the Korean Physical Society Vol. 70; no. 6; pp. 640 - 646 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Seoul
The Korean Physical Society
01.03.2017
Springer Nature B.V 한국물리학회 |
Subjects | |
Online Access | Get full text |
ISSN | 0374-4884 1976-8524 |
DOI | 10.3938/jkps.70.640 |
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Summary: | In conventional mammography, contrast sensitivity remains limited due to the superimposition of breast tissue and scattered X-rays, which induces low visibility of lesions in the breast and, thus, an excessive number of false-positive findings. Several methods, including digital breast tomosynthesis as a multiplanar imaging modality, air-gap and slot techniques for the reduction of scatters, phase-contrast imaging as another image-contrast modality,
etc.
, have been investigated in attempt to overcome these difficulties. However, those techniques typically require a higher imaging dose or special equipment. In this work, as an alternative, we propose a new image restoration method based on a radiographic scattering model in which the intensity of scattered X-rays and the direct transmission function of a given medium are estimated from a single projection by using the dark-channel prior. We implemented the proposed algorithm and performed an experiment to demonstrate its viability. Our results indicate that most of the structures in the examined breast were very discernable even with no adjustment in the display-window level, thus preserving superior image features and edge sharpening. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 G704-000411.2017.70.6.005 |
ISSN: | 0374-4884 1976-8524 |
DOI: | 10.3938/jkps.70.640 |