Abstract
The gold standard for early detection of breast cancer has been the mammogram. However, this technique still has limitation for women with dense breast. Combining mammogram with digital breast tomosynthesis overcomes the limitation but increases exposure dose approximately twice. This study focuses on reducing radiation dose by synthesizing the 2D mammographic image from multiple tomosynthesis projection images using an image Super-Resolution technique based on sparse representation. We evaluated the result images using peak signal to noise ratio (PSNR), mean structure similarity (MSSIM) and phantom passing score. We compared the synthesized 2D mammographic image from multiple projection images to the one from a single central projection image. The one from multiple images yields better result with. 27.2426 PSNR and 0.4436 MSSIM. For the phantom passing score, we obtained 5, 2, 4 for fibers, group of micocalcifications, and masses, respectively.
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References
A Fundamental of Breast Tomosynthesis: Improving the Performance of Mammography, www.hologic.com/data/WP-00007-Tomo-0808.pdf
Gennaro, G., et al.: Digital Breast Tomosynthesis versus Digital Mammography: A Clinical Performance Study. European Radiology. 20(7), 1545-1553 (2010)
Good, W.F., et al.: Digital Breast Tomosynthesis: A Pilot Observer Study. A JR. 190(4), 865-869 (2008)
Noroozian, M., et al.: Digital Breast Tomosynthesis Is Comparable to Mammographic Spot Views for Mass Characterization. Radiology. 262(1), 61-68 (2012)
Poplack, S.P., TosTeson, T.D., Kogel, C.A., Nagy, H.M.: Digital Breast Tomosynthesis: Initial Experience in 98 Women with Abnormal Digital Screening Mammography. AJR. 189(3), 616-623 (2007)
Skaan, P., et al.: Comparison of Digital Mammography Alone and Digital Mammography plus Tomosynthesis in a Population-based Screening Program. Radiology. 257(1), 47-56 (2013)
Breast Tomosynthesis: The Use of Breast Tomosynthesis in Clinical Setting, http://www.breasttomo.com/sites/breasttomo.com/files/010-WP-00060-Rev2_June2012- TomoWhitePaper.pdf
Gur, D., et al.: Dose Reduction in Digital Breast Tomosynthesis (DBT) Screening Using Syntheically Reconstructed Projection Images. Acad Radiol. 19(2), 166-171 (2012)
Hologic Selenia Dimensions C-View Software Module, http://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterials/Medic alDevies/MedicalDevicesAdvisoryCommittee/RadiologicalDevicesPanel/UCM325903.pdf
Schie, G.V., Mann, R., Imhof-Tas, M., Karssemeijer, N.: Generating Synthetic Mammo-grams from Reconstructed Tomosynthesis Volumes. IEEE Transaction on Medical Imaging. 32(12), 2322-2331 (2013)
Park, S.C., Park, M.K., Kang, M.G.: Super-resolution Image Reconstruction: A Technical Overview. In: IEEE Signal Processing Magazine. 21-36 (2003)
He, H., Sui, W.C.: Single Image Super-resolution Using Gaussian Process regression. In: IEEE Conference on Computer Vision and Pattern Recognition, pp.449-456. (2011)
Yang, J., Wright, J., Huang, T., Ma, Y.: Image Super-Resolution as Sparse Representation of Raw Image Patches. In: IEEE Conference on Computer Vision and Recognition, pp. 1-8 (2008)
Ning, B., Gao, X.: Multi-fram Image Super-Resolution Reconstruction Using Sparse Cooccurrence Prior and Sub-pixel Registration. Neurocomputing. 117, 128-137 (2013)
Yang, J., Wright, J., Huang, T., Ma, Y.: Image Super-Resolution via Sparse Represention. IEEE Transaction on Image Processing. 19(11), 2861-2873 (2010)
Mammography Accreditation Program Requirements, http://www.acr.org/~/media/ACR/Documents/Accreditation/Mammography/Requirements .pdf
MQSA Inspection Procedure 6.06, http://www.fda.gov/downloads/Radiation-EmittingProducts/MammographyQualityStandardsActandProgram/FacilityCertificationandInspection/UCM240433.pdf
Role of the Medical Physicist in Clinical Implementation of Breast Tomosyntheis, http://www.aapm.org/meetings/amos2/pdf/59-17210-92736-449.pdf
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Kantharak, S., Chalidabhongse, T.H., Prueksadee, J. (2015). A Synthesis of 2D Mammographic Image Using Super- Resolution Technique: A Phantom Study. In: Kim, K. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46578-3_34
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DOI: https://doi.org/10.1007/978-3-662-46578-3_34
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