Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114639
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dc.contributorDepartment of Health Technology and Informatics-
dc.contributorDepartment of Computing-
dc.creatorChen, X-
dc.creatorNishikawa, RM-
dc.creatorChan, ST-
dc.creatorZhang, L-
dc.creatorMou, X-
dc.date.accessioned2025-08-18T03:02:30Z-
dc.date.available2025-08-18T03:02:30Z-
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10397/114639-
dc.descriptionSPIE Medical Imaging, 12-17 February 2011, Lake Buena Vista (Orlando), Florida, United Statesen_US
dc.language.isoenen_US
dc.publisherSPIE - International Society for Optical Engineeringen_US
dc.rightsCopyright 2011 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.en_US
dc.rightsThe following publication Xi Chen, Robert M. Nishikawa, Suk-tak Chan, Lei Zhang, and Xuanqin Mou "Image noise sensitivity of dual-energy digital mammography for calcification imaging", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 796155 (16 March 2011) is available at https://doi.org/10.1117/12.877932.en_US
dc.subjectDigital mammographyen_US
dc.subjectDual-energyen_US
dc.subjectImage noiseen_US
dc.subjectSensitivity analysisen_US
dc.titleImage noise sensitivity of dual-energy digital mammography for calcification imagingen_US
dc.typeConference Paperen_US
dc.identifier.volume7961-
dc.identifier.doi10.1117/12.877932-
dcterms.abstractDual-energy digital mammography (DEDM) can suppress the contrast between adipose and glandular tissues and generate dual-energy (DE) calcification signals. DE calcification signals are always influenced by many factors. Image noise is one of these factors. In this paper, the sensitivity of DE calcification signal to image noise was analyzed based on DEDM physical model. Image noise levels of two different commercially available digital mammography systems, GE Senographe Essential system and GE Senographe DS system, were measured. The mean noise was about 1.04% for Senographe Essential system, 1.42% for Senographe DS system at 28kVp/50mAs; and was 0.47% for Senographe Essential system, 0.79% for Senographe DS system at 48kVp/12.5mAs. Evaluations were performed by comparing RMS (Root-Mean-Square) of calcification signal fluctuations in background regions and CNR (Contrast-Noise-Ratio) of calcification signals in clusters when these two digital mammography systems were used. The results showed that image noise had a serious impact on DEDM calcification signals. If GE Senographe Essential system was used, calcification signal fluctuations were 200~300μm, and when calcification size is greater than 300μm, the probability of acquiring CNR≥3 is over 50%. If noise reduction techniques are used, the calcification threshold size of CNR≥3 can be lower.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of SPIE : the International Society for Optical Engineering, 2011, v. 7961, 796155-
dcterms.isPartOfProceedings of SPIE : the International Society for Optical Engineering-
dcterms.issued2011-
dc.identifier.scopus2-s2.0-79955786242-
dc.identifier.eissn1996-756X-
dc.identifier.artn796155-
dc.description.validate202508 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Othersen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported in part by grants for the National Science Fund of China (60472004, 60551003), Ministry of Education of China (106143), ICRG of Hong Kong Polytechnic University (YG-79), National Institutes of Health (S10 RR021039), National Institutes of Health / National Cancer Institute (P30 CA14599) and DOD BCRP predoctoral fellowship (W81XWH-080-1-0353). R. M. Nishikawa is a shareholder in and receives royalties from Hologic, Inc. He is a member of the scientific advisory board of Dexela, Ltd. He is a consultant to Siemens Medical Solutions USA and Carestream Health, Inc.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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