Table of Contents

• A New Step-Wedge for the Volumetric Measurement of Mammographic DensityJennifer Diffey, Alan Hufton, Susan M. Astley. 1-9 [doi]
• Assessing Ground Truth of Glandular TissueChristina Olsén, Fredrik Georgsson. 10-17 [doi]
• Volumetric Breast Density Estimation on Mammograms Using Breast Tissue Equivalent Phantoms - An UpdateBindu J. Augustine, Gordon E. Mawdsley, Norman F. Boyd, Martin J. Yaffe. 18-25 [doi]
• An Alternative Approach to Measuring Volumetric Mammographic Breast DensityChristopher Tromans, Michael Brady. 26-33 [doi]
• Breast Density Dependent Computer Aided DetectionStyliani Petroudi, Michael Brady. 34-38 [doi]
• Evaluation of Effects of HRT on Breast DensityStyliani Petroudi, Kostas Marias, Michael Brady. 39-45 [doi]
• Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening MammographyRobert M. Nishikawa. 46-53 [doi]
• Use of Prompt Magnitude in Computer Aided Detection of Masses in MammogramsNico Karssemeijer. 54-60 [doi]
• Current Screening Practice: Implications for the Introduction of CADLucy Tomlinson, Nathalie Hurley, Caroline R. M. Boggis, Julie Morris, Emma Hurley, Susan M. Astley. 61-67 [doi]
• Mammographic Mass Detection Using Unsupervised Clustering in Synergy with a Parcimonious Supervised Rule-Based ClassifierMichel Bruynooghe. 68-75 [doi]
• Computerized Classification Can Reduce Unnecessary Biopsies in BI-RADS Category 4A LesionsIsaac Leichter, Richard Lederman, Shalom Buchbinder, Yossi Srour, Philippe Bamberger, Fanny Sperber. 76-83 [doi]
• Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcificationsGlenn Fung, Balaji Krishnapuram, Nicolas Merlet, Eli Ratner, Philippe Bamberger, Jonathan Stoeckel, R. Bharat Rao. 84-91 [doi]
• Computer-Aided Detection of Breast Cancer Using an Ultra High-Resolution Liquid Crystal Display: Reading Session AnalysisYoshifumi Kuroki, Shigeru Nawano, Hidefumi Kobatake, Nachiko Uchiyama, Kazuo Shimura, Kouji Matano. 92-96 [doi]
• Mammography Reading with Computer-Aided Detection (CAD): Performance of Different ReadersSusan M. Astley, Stephen W. Duffy, Caroline R. M. Boggis, Mary Wilson, Nicky B. Barr, Ursula M. Beetles, Miriam A. Griffiths, Anil Jain, Jill Johnson, Rita M. Roberts, Heather Deans, Karen Duncan, Geeta Iyengar, Olorunsola F. Agbaje, Pamela M. Griffiths, Magnus A. McGee, Maureen G. C. Gillan, Fiona J. Gilbert. 97-104 [doi]
• The Impact of Integration of Computer-Aided Detection and Human ObserversNachiko Uchiyama, Noriyuki Moriyama, Takayuki Yamada, Noriaki Ohuchi. 105-110 [doi]
• Improving Access to Mammography in Rural AreasElizabeth A. Krupinski. 111-117 [doi]
• Dual Modality Surgical Guidance for Non-palpable Breast LesionsPatricia Goodale Judy, Priya Raghunathan, Mark B. Williams. 118-124 [doi]
• Mammography Reading with Computer-Aided Detection (CAD): Single View ::::vs:::: Two ViewsOlorunsola F. Agbaje, Susan M. Astley, Maureen G. C. Gillan, Caroline R. M. Boggis, Mary Wilson, Nicky B. Barr, Ursula M. Beetles, Miriam A. Griffiths, Anil Jain, Jill Johnson, Rita M. Roberts, Heather Deans, Karen Duncan, Geeta Iyengar, Pamela M. Griffiths, Magnus A. McGee, Stephen W. Duffy, Fiona J. Gilbert. 125-130 [doi]
• Automated Breast Tissue Measurement of Women at Increased Risk of Breast CancerH. G. Patel, Susan M. Astley, Alan Hufton, M. Harvie, K. Hagan, T. E. Marchant, V. Hillier, A. Howell, R. Warren, Caroline R. M. Boggis. 131-136 [doi]
• Mammography Tomosynthesis System for High Performance 3D ImagingJeffrey W. Eberhard, Douglas Albagli, Andrea Schmitz, Bernhard E. H. Claus, Paul L. Carson, Mitchell M. Goodsitt, Heang-Ping Chan, Marilyn A. Roubidoux, Jerry A. Thomas, Jacqueline Osland. 137-143 [doi]
• Clinical Evaluation of a Photon-Counting Tomosynthesis Mammography SystemAndrew D. A. Maidment, Christer Ullberg, Tom Francke, Lars Lindqvist, Skiff Sokolov, Karin Lindman, Leif Adelow, Per Sunden. 144-151 [doi]
• Three-Dimensional Digital Breast Tomosynthesis in the Early Diagnosis and Detection of Breast CancerMari Varjonen. 152-159 [doi]
• Lesion Visibility in Low Dose TomosynthesisAndrew P. Smith, Loren Niklason, Baorui Ren, Tao Wu, Chris Ruth, Zhenxue Jing. 160-166 [doi]
• Generalized Filtered Back-Projection Reconstruction in Breast TomosynthesisBernhard E. H. Claus, Jeffrey W. Eberhard, Andrea Schmitz, Paul L. Carson, Mitchell M. Goodsitt, Heang-Ping Chan. 167-174 [doi]
• Adaptation of Image Quality Using Various Filter Setups in the Filtered Backprojection Approach for Digital Breast TomosynthesisJasmina Orman, Thomas Mertelmeier, Wolfgang Härer. 175-182 [doi]
• Optimization of Contrast-Enhanced Digital Breast TomosynthesisAnn-Katherine Carton, Jingjing Li, Sara Chen, Emily F. Conant, Andrew D. A. Maidment. 183-189 [doi]
• Development of an Analytic Breast Phantom for Quantitative Comparison of Reconstruction Algorithms for Digital Breast TomosynthesisIngrid S. Reiser, Emil Y. Sidky, Robert M. Nishikawa, Xiaochuan Pan. 190-196 [doi]
• X-Ray Mammogram Registration: A Novel Validation MethodJohn H. Hipwell, Christine Tanner, William R. Crum, David J. Hawkes. 197-204 [doi]
• A Probabilistic Approach for the Simultaneous Mammogram Registration and Abnormality DetectionMohamed Hachama, Agnès Desolneux, Frédéric J. P. Richard. 205-212 [doi]
• Mammographic Registration: Proposal and Evaluation of a New ApproachRobert Marti, David Raba, Arnau Oliver, Reyer Zwiggelaar. 213-220 [doi]
• Image Similarity and Asymmetry to Improve Computer-Aided Detection of Breast CancerDave Tahmoush, Hanan Samet. 221-228 [doi]
• Potential Usefulness of Multiple-Mammographic Views in Computer-Aided Diagnosis Scheme for Identifying Histological Classification of Clustered MicrocalcificationRyohei Nakayama, Ryoji Watanabe, Kiyoshi Namba, Koji Yamamoto, Kan Takeda, Shigehiko Katsuragawa, Kunio Doi. 229-236 [doi]
• Exploitation of Correspondence Between CC and MLO Views in Computer Aided Mass DetectionSaskia van Engeland, Nico Karssemeijer. 237-242 [doi]
• Breast Composition Measurements Using Retrospective Standard Mammogram Form (SMF)Ralph Highnam, Xiabo Pan, Ruth Warren, Mona Jeffreys, George Davey Smith, Michael Brady. 243-250 [doi]
• A Scatter Model for Use in Measuring Volumetric Mammographic Breast DensityChristopher Tromans, Michael Brady. 251-258 [doi]
• Using a Homogeneity Test as Weekly Quality Control on Digital Mammography UnitsRuben E. van Engen, M. M. J. Swinkels, L. J. Oostveen, T. D. Geertse, R. Visser. 259-265 [doi]
• Automated and Human Determination of Threshold Contrast for Digital Mammography SystemsKenneth C. Young, James J. H. Cook, Jennifer M. Oduko. 266-272 [doi]
• Beam Optimization for Digital Mammography - IIMark B. Williams, Priya Raghunathan, Anthony Seibert, Alex Kwan, Joseph Y. Lo, Ehsan Samei, Laurie Fajardo, Andrew D. A. Maidment, Martin J. Yaffe, Aili Bloomquist. 273-280 [doi]
• Image Qualities of Phase-Contrast MammographyChika Honda, Hiromu Ohara, Tomonori Gido. 281-288 [doi]
• Application of the Multiple Image Radiography Method to Breast ImagingChristopher Parham, Etta D. Pisano, Chad Livasy, Laura Faulconer, Miles N. Wernick, Jovan G. Brankov, Miklos Kiss, Dean Connor, Jeddy Chen, Ann Wu, Zhong Zhong, Dean Chapman. 289-298 [doi]
• Correlating Cone-Beam CT and Large-Section Histology Image Sets: Initial Results Using a Surgical Lumpectomy SpecimenJames G. Mainprize, Shaista Okhai, Gina M. Clarke, Michael P. Kempston, Shawnee Eidt, Martin J. Yaffe. 299-306 [doi]
• Calcification Descriptor and Relevance Feedback Learning Algorithms for Content-Based Mammogram RetrievalChia-Hung Wei, Chang-Tsun Li. 307-314 [doi]
• Clinical Optimization of Filters in Direct a-Se FFDM (Full Field Digital Mammography) SystemNachiko Uchiyama, Noriyuki Moriyama, Mayumi Kitagawa, Shiho Gomi, Yuichi Nagai. 315-323 [doi]
• Study on Cascade Classification in Abnormal Shadow Detection for MammogramsMitsutaka Nemoto, Akinobu Shimizu, Hidefumi Kobatake, Hideya Takeo, Shigeru Nawano. 324-331 [doi]
• Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level QuantizationsGobert N. Lee, Takeshi Hara, Hiroshi Fujita. 332-339 [doi]
• A Ranklet-Based CAD for Digital MammographyEnrico Angelini, Renato Campanini, Emiro Iampieri, Nico Lanconelli, Matteo Masotti, Todor Petkov, Matteo Roffilli. 340-346 [doi]
• Detection of Microcalcifications in Digital Mammograms Based on Dual-ThresholdYuan Wu, Qian Huang, Yonghong Peng, Wuchao Situ. 347-354 [doi]
• Feasibility and Acceptability of Stepwedge-Based Density MeasurementMichael Berks, Jennifer Diffey, Alan Hufton, Susan M. Astley. 355-361 [doi]
• Use of the European Protocol to Optimise a Digital Mammography SystemKenneth C. Young, James J. H. Cook, Jennifer M. Oduko. 362-369 [doi]
• Automated Detection Method for Architectural Distortion with Spiculation Based on Distribution Assessment of Mammary Gland on MammogramTakeshi Hara, Takanari Makita, Tomoko Matsubara, Hiroshi Fujita, Yoriko Inenaga, Tokiko Endo, Takuji Iwase. 370-375 [doi]
• Web Services for the DDSM and Digital Mammography ResearchChris Rose, Daniele Turi, Alan Williams, Katy Wolstencroft, Chris J. Taylor 0002. 376-383 [doi]
• GPCALMA: An Italian Mammographic Database of Digitized Images for ResearchAdele Lauria, Raffaella Massafra, Sabina Sonia Tangaro, Roberto Bellotti, Maria Evelina Fantacci, Pasquale Delogu, Ernesto Lopez Torres, Piergiorgio Cerello, Francesco Fauci, Rosario Magro, Ubaldo Bottigli. 384-391 [doi]
• Development of Breast Ultrasound CAD System for ScreeningDaisuke Fukuoka, Yuji Ikedo, Takeshi Hara, Hiroshi Fujita, Etsuo Takada, Tokiko Endo, Takako Morita. 392-398 [doi]
• Linking Image Structures with Medical Ontology InformationDa Qi, Erika R. E. Denton, Reyer Zwiggelaar. 399-406 [doi]
• Comparison Between Wolfe, Boyd, BI-RADS and Tabár Based Mammographic Risk AssessmentIzzati Muhimmah, Arnau Oliver, Erika R. E. Denton, Josep Pont, Elsa Pérez, Reyer Zwiggelaar. 407-415 [doi]
• Initial Results of the Daily Quality Control of Medical Screen Devices Using a Dynamic Pattern in a Digital Mammography EnvironmentJürgen Jacobs, Tom Deprez, Guy Marchal, Hilde Bosmans. 416-423 [doi]
• A Filter-Based Approach Towards Automatic Detection of MicrocalcificationZhi Qing Wu, Jianmin Jiang, Yonghong Peng, Thor Ole Gulsrud. 424-432 [doi]
• Texture Based SegmentationReyer Zwiggelaar, Erika R. E. Denton. 433-440 [doi]
• Image Quality of a Photon-Counting Mammography System Compared to Digital Mammography Based on Amorphous Silicon with CsI-ScintillatorArne Fischmann, Günther Steidle. 441-446 [doi]
• Understanding Hessian-Based Density ScoringJakob Raundahl, Marco Loog, Mads Nielsen. 447-452 [doi]
• Review of the Dose and Image Quality Characteristics of 3 FFDM Systems in Clinical Practice in a Screening ProgrammeGillian Egan, Niall Phelan. 453-459 [doi]
• Impact of Textured Background on Scoring of Simulated CDMAM PhantomBénédicte Grosjean, Serge Muller. 460-467 [doi]
• Magnetic Resonance Electrical Impedance Mammography: A Pilot StudyMaria Kallergi, Ernest Wollin, John J. Heine, Nataliya Kovalchuk, Anand Manohar. 468-474 [doi]
• Experimental Investigation of the Necessity for Extra Flat Field Corrections in Quality Control of Digital MammographyPaula Pöyry, Federica Zanca, Hilde Bosmans. 475-481 [doi]
• Observer Evaluations of Wavelet Methods for the Enhancement and Compression of Digitized MammogramsMaria Kallergi, John J. Heine, Bradley J. Lucier. 482-489 [doi]
• Evaluating the Effect of Dose on Reconstructed Image Quality in Digital TomosynthesisMichael P. Kempston, James G. Mainprize, Martin J. Yaffe. 490-497 [doi]
• Registration of Mammograms and Breast Tomosynthesis ImagesPredrag R. Bakic, Frédéric J. P. Richard, Andrew D. A. Maidment. 498-503 [doi]
• Complementary Role of Computer Aided Detection in MammographyKeiko Sugisaki, Hiroshi Fujita, Hiro Goto, Hiroaki Hoshi. 504-508 [doi]
• The Refinement of Microcalcification Cluster Assessment by Joint Analysis of MLO and CC ViewsMárta Altrichter, Gábor Horváth. 509-516 [doi]
• The Dependence of Tomosynthesis Imaging Performance on the Number of Scan ProjectionsBaorui Ren, Tao Wu, Andrew P. Smith, Chris Ruth, Loren Niklason, Zhenxue Jing, Jay Stein. 517-524 [doi]
• First Attempt at 3D X-Ray Visualization of DCIS (Ductal Carcinoma in Situ) Due to Refraction Contrast - In Good Relation to Pathological ViewMasami Ando, Takao Akatsuka, Hiroko Bando, Yoshinori Chikaura, Tokiko Endo, Eiko Hashimoto, Keiichi Hirano, Kazuyuki Hyodo, Shu Ichihara, Anton Maksimenko, Chiho Ohbayashi, Hiroshi Sugiyama, Ei Ueno, Katsuhito Yamasaki, Tetsuya Yuasa. 525-532 [doi]
• Lossless Compression of Digital MammogramsR. Visser, L. Oostveen, Nico Karssemeijer. 533-540 [doi]
• Capturing Microcalcification Patterns in Dense Parenchyma with Wavelet-Based EigenimagesNikolaos Arikidis, Spyros Skiadopoulos, Filippos Sakellaropoulos, George Panayiotakis, Lena Costaridou. 541-548 [doi]
• Breast Component Adaptive Wavelet Enhancement for Soft-Copy Display of MammogramsSpyros Skiadopoulos, Anna Karahaliou, Filippos Sakellaropoulos, George Panayiotakis, Lena Costaridou. 549-556 [doi]
• Using Wavelet-Based Features to Identify Masses in Dense Breast ParenchymaFilippos Sakellaropoulos, Spyros Skiadopoulos, Anna Karahaliou, Lena Costaridou, George Panayiotakis. 557-564 [doi]
• Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A ProposalNicholas Petrick, Kyle J. Myers, Sophie Paquerault, Frank W. Samuelson, Brandon D. Gallas, Robert F. Wagner. 565-568 [doi]
• Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography ImagesHui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene A. Sennett. 569-575 [doi]
• Comparison Between CRT and LCD Displays for Full-Field-Digital-Mammography (FFDM) InterpretationChiara Del Frate, Alexia Bestagno, Viviana Londero, Raffaella Pozzi Mucelli, Valerio Salomoni, Massimo Bazzocchi. 576-584 [doi]
• A Harmonized Quality Control Program for Digital MammographyMartin J. Yaffe, Gordon E. Mawdsley, Aili Bloomquist. 585-592 [doi]
• Contrast Threshold of 4 Full Field Digital Mammography Systems Using Different Measurement MethodsAnn-Katherine Carton, Hilde Bosmans, C. Vanongeval, G. Souverijns, Guy Marchal, Jürgen Jacobs, D. Vandenbroucke, Herman Pauwels, K. Nijs. 593-600 [doi]
• The Use of Multi-scale Monogenic Signal on Structure Orientation Identification and SegmentationXiaobo Pan, Michael Brady, Ralph Highnam, Jérôme Declerck. 601-608 [doi]
• Breast Density Segmentation Using TextureStyliani Petroudi, Michael Brady. 609-615 [doi]
• Texture Based Mammogram Classification and SegmentationYang Can Gong, Michael Brady, Styliani Petroudi. 616-625 [doi]
• Mammographic Risk Assessment Based on Anatomical Linear StructuresEdward M. Hadley, Erika R. E. Denton, Reyer Zwiggelaar. 626-633 [doi]
• Comparison of Methods for Classification of Breast Ductal Branching PatternsPredrag R. Bakic, Despina Kontos, Vasileios Megalooikonomou, Mark A. Rosen, Andrew D. A. Maidment. 634-641 [doi]
• Validation of Graph Theoretic Segmentation of the Pectoral MuscleFei Ma, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema. 642-649 [doi]