Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms.
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| Title: | Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms. |
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| Authors: | Sidky, Emil Y.1 sidky@uchicago.edu, Xiaochuan Pan1 xpan@uchicago.edu, Reiser, Ingrid S.1, Nishikawa, Robert M.1, Moore, Richard H.2, Kopans, Daniel B.2 |
| Source: | Medical Physics. Nov2009, Vol. 36 Issue 11, p4920-4932. 13p. 13 Black and White Photographs, 1 Diagram, 3 Graphs. |
| Subjects: | Algorithms, Medical radiography, Tomography, Medical imaging systems, Diagnostic imaging |
| Abstract: | Purpose: The authors develop a practical, iterative algorithm for image-reconstruction in undersampled tomographic systems, such as digital breast tomosynthesis (DBT). Methods: The algorithm controls image regularity by minimizing the image total p variation (TpV), a function that reduces to the total variation when p=1.0 or the image roughness when p=2.0. Constraints on the image, such as image positivity and estimated projection-data tolerance, are enforced by projection onto convex sets. The fact that the tomographic system is undersampled translates to the mathematical property that many widely varied resultant volumes may correspond to a given data tolerance. Thus the application of image regularity serves two purposes: (1) Reduction in the number of resultant volumes out of those allowed by fixing the data tolerance, finding the minimum image TpV for fixed data tolerance, and (2) traditional regularization, sacrificing data fidelity for higher image regularity. The present algorithm allows for this dual role of image regularity in undersampled tomography. Results: The proposed image-reconstruction algorithm is applied to three clinical DBT data sets. The DBT cases include one with microcalcifications and two with masses. Conclusions: Results indicate that there may be a substantial advantage in using the present image-reconstruction algorithm for microcalcification imaging. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 44910121 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sidky%2C+Emil+Y%2E%22">Sidky, Emil Y.</searchLink><relatesTo>1</relatesTo><i> sidky@uchicago.edu</i><br /><searchLink fieldCode="AR" term="%22Xiaochuan+Pan%22">Xiaochuan Pan</searchLink><relatesTo>1</relatesTo><i> xpan@uchicago.edu</i><br /><searchLink fieldCode="AR" term="%22Reiser%2C+Ingrid+S%2E%22">Reiser, Ingrid S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Nishikawa%2C+Robert+M%2E%22">Nishikawa, Robert M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Moore%2C+Richard+H%2E%22">Moore, Richard H.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kopans%2C+Daniel+B%2E%22">Kopans, Daniel B.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Nov2009, Vol. 36 Issue 11, p4920-4932. 13p. 13 Black and White Photographs, 1 Diagram, 3 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+radiography%22">Medical radiography</searchLink><br /><searchLink fieldCode="DE" term="%22Tomography%22">Tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+imaging+systems%22">Medical imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: The authors develop a practical, iterative algorithm for image-reconstruction in undersampled tomographic systems, such as digital breast tomosynthesis (DBT). Methods: The algorithm controls image regularity by minimizing the image total p variation (TpV), a function that reduces to the total variation when p=1.0 or the image roughness when p=2.0. Constraints on the image, such as image positivity and estimated projection-data tolerance, are enforced by projection onto convex sets. The fact that the tomographic system is undersampled translates to the mathematical property that many widely varied resultant volumes may correspond to a given data tolerance. Thus the application of image regularity serves two purposes: (1) Reduction in the number of resultant volumes out of those allowed by fixing the data tolerance, finding the minimum image TpV for fixed data tolerance, and (2) traditional regularization, sacrificing data fidelity for higher image regularity. The present algorithm allows for this dual role of image regularity in undersampled tomography. Results: The proposed image-reconstruction algorithm is applied to three clinical DBT data sets. The DBT cases include one with microcalcifications and two with masses. Conclusions: Results indicate that there may be a substantial advantage in using the present image-reconstruction algorithm for microcalcification imaging. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1118/1.3232211 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 4920 Subjects: – SubjectFull: Algorithms Type: general – SubjectFull: Medical radiography Type: general – SubjectFull: Tomography Type: general – SubjectFull: Medical imaging systems Type: general – SubjectFull: Diagnostic imaging Type: general Titles: – TitleFull: Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sidky, Emil Y. – PersonEntity: Name: NameFull: Xiaochuan Pan – PersonEntity: Name: NameFull: Reiser, Ingrid S. – PersonEntity: Name: NameFull: Nishikawa, Robert M. – PersonEntity: Name: NameFull: Moore, Richard H. – PersonEntity: Name: NameFull: Kopans, Daniel B. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 00942405 Numbering: – Type: volume Value: 36 – Type: issue Value: 11 Titles: – TitleFull: Medical Physics Type: main |
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