Table of Contents

• Agreement Between Radiologists' Interpretations of Screening MammogramsRobert M. Nishikawa, Christopher E. Comstock, Michael N. Linver, Gillian M. Newstead, Vinay Sandhir, Robert A. Schmidt. 3-10 [doi]
• Quality Control of Breast Tomosynthesis for a Screening Trial: Preliminary ExperienceAili Maki, James G. Mainprize, Gordon E. Mawdsley, Martin J. Yaffe. 11-19 [doi]
• Summary of Outcomes from Consecutive Years of Tomosynthesis Screening at an American Academic InstitutionEmily F. Conant, Andrew Oustimov, Samantha P. Zuckerman, Elizabeth S. McDonald, Susan P. Weinstein, Andrew D. A. Maidment, Bruno Barufaldi, Marie Synnestvedt, Mitchell D. Schnall. 20-24 [doi]
• LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital MammogramsAlessandro Bria, Claudio Marrocco, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella. 27-34 [doi]
• Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural NetworksJan-Jurre Mordang, Tim Janssen, Alessandro Bria, Thijs Kooi, Albert Gubern-Mérida, Nico Karssemeijer. 35-42 [doi]
• Similar Image Retrieval of Breast Masses on Ultrasonography Using Subjective Data and Multidimensional ScalingChisako Muramatsu, Tetsuya Takahashi, Takako Morita, Tokiko Endo, Hiroshi Fujita 0001. 43-50 [doi]
• A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in MammographyThijs Kooi, Albert Gubern-Mérida, Jan-Jurre Mordang, Ritse Mann, Ruud Pijnappel, Klaas Schuur, Ard den Heeten, Nico Karssemeijer. 51-56 [doi]
• Diagnostic Usefulness of Synthetic MMG (SMMG) with DBT (Digital Breast Tomosynthesis) for Clinical Setting in Breast Cancer ScreeningNachiko Uchiyama, Mari Kikuchi, Minoru Machida, Yasuaki Arai, Ryusuke Murakami, Kyoichi Otsuka, Anna K. Jerebko, B. Michael Kelm, Thomas Mertelmeier. 59-67 [doi]
• Development of Digital Phantom for Digital Mammography with Soft-Copy ReadingNorimitsu Shinohara, Katsuhei Horita, Tokiko Endo. 68-74 [doi]
• Improving the Quality of Optimisation Studies Undertaken in Mammography and General Radiology Using High Level Blended TeachingAlistair Mackenzie, Kenneth C. Young, Saartje Creten, Nelis Van Peteghem, Hilde Bosmans. 75-82 [doi]
• Simplified Method for FROC Observer Study to Evaluate the Diagnostic Accuracy of a Digital Breast Imaging System by Using a CDMAM PhantomRie Tanaka, Fujiyo Akita, Daisuke Fukuoka, Yusuke Bamba, Junji Shiraishi. 83-88 [doi]
• Equivocal Breast Findings Are Reduced with Digital TomosynthesisMaram Alakhras, Claudia Mello-Thoms, Roger Bourne, Mary Rickard, Patrick C. Brennan. 89-97 [doi]
• The Accuracy of an Estimating Method for the Mammary Gland Composition in the Mammography Using the CdTe-Series Photon Counting DetectorAi Nakajima, Misa Kato, Chizuru Okamoto, Akiko Ihori, Tsutomu Yamakawa, Shuichiro Yamamoto, Masahiro Okada, Yoshie Kodera. 98-106 [doi]
• Towards Optimization of Image Quality as a Function of Breast Thickness in Mammography: An Investigation of the Breast Thickness Compensation Schemes on Analogue and Digital Mammography UnitsLesley J. Grattan, Adam Workman. 107-115 [doi]
• Lower Recall Rates Reduced Readers' Sensitivity in Screening MammographyNorhashimah Mohd Norsuddin, Claudia Mello-Thoms, Warren M. Reed, Patrick C. Brennan, Sarah J. Lewis. 116-121 [doi]
• Simulation of Positron Emission Mammography Imaging with Pixelated CdTeMachiel Kolstein, Mokhtar Chmeissani. 122-129 [doi]
• The International Use of PERFORMS Mammographic Test SetsYan Chen, Leng Dong, Hossein Nevisi, Alastair G. Gale. 130-135 [doi]
• Dependence of Contrast-Enhanced Lesion Detection in Contrast-Enhanced Digital Breast Tomosynthesis on Imaging Chain DesignDavid A. Scaduto, Yue-Houng Hu, Yihuan Lu, Hailiang Huang, Jingxuan Liu, Kim Rinaldi, Gene Gindi, Paul R. Fisher, Wei Zhao. 136-144 [doi]
• Evaluation of the BreastSimulator Software Platform for Breast Tomography: Preliminary ResultsGiovanni Mettivier, Kristina Bliznakova, Francesca Di Lillo, Antonio Sarno, Paolo Russo. 145-151 [doi]
• Effect of Dose on the Detection of Micro-Calcification Clusters for Planar and Tomosynthesis ImagingAlistair Mackenzie, Andria Hadjipanteli, Premkumar Elangovan, Padraig T. Looney, Rebecca Ealden, Lucy M. Warren, David R. Dance, Kevin Wells, Kenneth C. Young. 152-159 [doi]
• Dosimetric Modeling of Mammography Using the Monte Carlo Code PENELOPE and Its ValidationJason Tse, Roger Fulton, Donald McLean. 160-166 [doi]
• Nonlinear Local Transformation Based Mammographic Image EnhancementCuiping Ding, Min Dong, Hongjuan Zhang, Yide Ma, Yaping Yan, Reyer Zwiggelaar. 167-173 [doi]
• A Hybrid Detection Scheme of Architectural Distortion in Mammograms Using Iris Filter and Gabor FilterMizuki Yamazaki, Atsushi Teramoto, Hiroshi Fujita 0001. 174-182 [doi]
• Performance of Breast Cancer Screening Depends on Mammographic CompressionKatharina Holland, Ioannis Sechopoulos, Gerard J. den Heeten, Ritse M. Mann, Nico Karssemeijer. 183-189 [doi]
• Monte Carlo Evaluation of Normalized Glandular Dose Coefficients in MammographyAntonio Sarno, Giovanni Mettivier, Francesca Di Lillo, Paolo Russo. 190-196 [doi]
• Breast Density Assessment Using Breast Tomosynthesis ImagesPontus Timberg, Andreas Fieselmann, Magnus Dustler, Hannie Petersson, Hanna Sartor, Kristina Lång, Daniel Förnvik, Sophia Zackrisson. 197-202 [doi]
• Detailed Analysis of Scatter Contribution from Different Simulated Geometries of X-ray DetectorsElena Marimon, Hammadi Nait-Charif, Asmar Khan, Philip A. Marsden, Oliver Diaz. 203-210 [doi]
• Calibration Procedure of Three Component Mammographic Breast ImagingSerghei Malkov, Jesús Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Maryellen L. Giger, Karen Drukker, Jennifer S. Drukteinis, Leila Kazemi, Malesa Pereira, John Shepherd. 211-218 [doi]
• Local Detectability Maps as a Tool for Predicting Masking Probability and Mammographic PerformanceOlivier Alonzo-Proulx, James G. Mainprize, Heba Hussein, Roberta Jong, Martin J. Yaffe. 219-225 [doi]
• The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital MammographyBruno Barufaldi, Lucas R. Borges, Marcelo Andrade da Costa Vieira, Salvador Gabarda, Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, Homero Schiabel. 226-233 [doi]
• Grid-Less Imaging with Anti-scatter Correction Software in 2D Mammography: A JAFROC Study Using Simulated LesionsFrédéric Bemelmans, Nelis Van Peteghem, Xenia Bramaje Adversalo, Elena Salvagnini, Chantal Van Ongeval, Hilde Bosmans. 234-242 [doi]
• Towards a Phantom for Multimodality Performance Evaluation of Breast Imaging: A 3D Structured Phantom with Simulated Lesions Tested for 2D Digital MammographyKristina Tri Wigati, Lesley Cockmartin, Nicholas Marshall, Djarwani S. Soejoko, Hilde Bosmans. 243-253 [doi]
• Simulation and Visualization to Support Breast Surgery PlanningJoachim Georgii, Torben Pätz, Markus Thorsten Harz, Christina Stöcker, Michael Rothgang, Joseph Colletta, Kathy J. Schilling, Margrethe Schlooz-Vries, Ritse M. Mann, Horst K. Hahn. 257-264 [doi]
• Single Section Biomarker Measurement and Colocalization via a Novel Multiplexing Staining TechnologyTyna Hope, Dan Wang, Sharon Nofech-Mozes, Kela Liu, Sireesha Kaanumalle, Yousef Al-Kohafi, Kashan Shaikh, Robert Filkins, Martin J. Yaffe. 265-273 [doi]
• The Characteristics of Malignant Breast Tumors Imaged Using a Prototype Mechanical Imaging System as an Adjunct to MammographyMagnus Dustler, Daniel Förnvik, Pontus Timberg, Hannie Petersson, Anders Tingberg, Sophia Zackrisson. 282-288 [doi]
• Mammographic Density Over Time in Women With and Without Breast CancerAbigail Humphrey, Elaine F. Harkness, Emmanouil Moschidis, Emma Hurley, Philip Foden, Megan Bydder, Mary Wilson, Soujanya Gadde, Anthony Maxwell, Yit Yoong Lim, Ursula M. Beetles, Anthony Howell, D. Gareth Evans, Susan M. Astley. 291-298 [doi]
• Learning Density Independent Texture FeaturesMichiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm. 299-306 [doi]
• Breast Asymmetry, Distortion and Density Are Key Factors for False Positive DecisionsZoey Z. Y. Ang, Rob Heard, Mohammad A. Rawashdeh, Patrick C. Brennan, Warwick B. Lee, Sarah J. Lewis. 307-315 [doi]
• Estimation of Perceived Background Tissue Complexity in MammogramsAli R. N. Avanaki, Kathryn S. Espig, Albert Xthona, Tom R. L. Kimpe. 316-323 [doi]
• Patient Dose Survey of Mammography Systems in the UK in 2013-2015Jennifer M. Oduko, Kenneth C. Young. 327-334 [doi]
• A Pilot Study on Radiation Dose from Combined Mammography Screening in AustraliaJason Tse, Roger Fulton, Mary Rickard, Patrick C. Brennan, Donald McLean. 335-342 [doi]
• Simulation of Dose Reduction in Digital Breast TomosynthesisLucas R. Borges, Igor Guerrero, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Marcelo Andrade da Costa Vieira. 343-350 [doi]
• Non-expert Classification of Microcalcification Clusters Using Mereotopological BarcodesHarry Strange, Reyer Zwiggelaar. 351-358 [doi]
• Mammographic Segmentation and Density Classification: A Fractal Inspired ApproachWenda He, Sam Harvey, Arne Juette, Erika R. E. Denton, Reyer Zwiggelaar. 359-366 [doi]
• Accurate Quantification of Glandularity and Its Applications with Regard to Breast Radiation Doses and Missed Lesion Rates During Individualized Screening MammographyMika Yamamuro, Kanako Yamada, Yoshiyuki Asai, Koji Yamada, Yoshiaki Ozaki, Masao Matsumoto, Takamichi Murakami. 377-384 [doi]
• A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural NetworkWenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Wei Qian. 385-391 [doi]
• A Novel Breast Cancer Risk Assessment Scheme Design Using Dual View MammogramsWenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Jiangying Zhang, Wei Qian. 392-399 [doi]
• Automated Multimodal Computer Aided Detection Based on a 3D-2D Image RegistrationTorsten Hopp, B. Neupane, Nicole V. Ruiter. 400-407 [doi]
• Exposure Conditions According to Breast Thickness and Glandularity in Japanese WomenHiroko Nishide, Kouji Ohta, Kaori Murata, Yoshie Kodera. 408-414 [doi]
• Deep Cascade Classifiers to Detect Clusters of MicrocalcificationsAlessandro Bria, Claudio Marrocco, Nico Karssemeijer, Mario Molinara, Francesco Tortorella. 415-422 [doi]
• Mammographic Ellipse Modelling Towards Birads Density ClassificationMinu George, Andrik Rampun, Erika R. E. Denton, Reyer Zwiggelaar. 423-430 [doi]
• Automatic Image Quality Assessment for Digital PathologyAli R. N. Avanaki, Kathryn S. Espig, Albert Xthona, Christian Lanciault, Tom R. L. Kimpe. 431-438 [doi]
• Automated Analysis of Breast Tumour in the Breast DCE-MR Images Using Level Set Method and Selective Enhancement of Invasive RegionsAtsushi Teramoto, Satomi Miyajo, Hiroshi Fujita 0001, Osamu Yamamuro, Kumiko Omi, Masami Nishio. 439-445 [doi]
• Feasibility of Depth Sensors to Study Breast Deformation During Mammography ProceduresOliver Díaz, Arnau Oliver, Sergi Ganau, Eloy García, Joan Martí, Melcior Sentís, Robert Marti. 446-453 [doi]
• Proposal of Semi-automatic Classification of Breast Lesions for Strain Sonoelastography Using a Dedicated CAD SystemKarem D. Marcomini, Eduardo F. C. Fleury, Homero Schiabel, Robert M. Nishikawa. 454-460 [doi]
• Markovian Approach to Automatic Annotation of Breast Mass Spicules Using an A Contrario ModelSègbédji R. T. J. Goubalan, Yves Goussard, Hichem Maaref. 461-468 [doi]
• Improving Mammographic Density Estimation in the Breast PeripheryXin Chen, Emmanouil Moschidis, Christopher J. Taylor, Susan M. Astley. 469-477 [doi]
• Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale GapPredrag R. Bakic, David D. Pokrajac, Rebecca Batiste, Michael D. Feldman, Andrew D. A. Maidment. 478-485 [doi]
• Volumetric Breast Density Combined with Masking Risk: Enhanced Characterization of Breast Density from Mammography ImagesAndreas Fieselmann, Anna K. Jerebko, Thomas Mertelmeier. 486-492 [doi]
• Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography RegistrationEloy García, Arnau Oliver, Yago Diez, O. Diaz, Albert Gubern-Mérida, Xavier Lladó, Joan Martí. 493-500 [doi]
• 3D Total Variation Minimization Filter for Breast Tomosynthesis ImagingAna M. Mota, Nuno Oliveira, Pedro Almeida, Nuno Matela. 501-509 [doi]
• Variations in Breast Density and Mammographic Risk Factors in Different Ethnic GroupsElaine F. Harkness, Fatik Bashir, Philip Foden, Megan Bydder, Soujanya Gadde, Mary Wilson, Anthony Maxwell, Emma Hurley, Anthony Howell, D. Gareth Evans, Susan M. Astley. 510-517 [doi]
• Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future DirectionsPredrag R. Bakic, Kyle J. Myers, Stephen J. Glick, Andrew D. A. Maidment. 518-524 [doi]
• A Measure of Regional Mammographic Masking Based on the CDMAM PhantomBenjamin Hinton, Serghei Malkov, Jesús Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Lin Ma, Amir Pasha Mahmoudzadeh, John Shepherd. 525-531 [doi]
• A Statistical Method for Low Contrast Detectability Assessment in Digital MammographyChiara Spadavecchia, Raffaele Villa, Claudia Pasquali, Nicoletta Paruccini, Nadia Oberhofer, Andrea Crespi. 532-539 [doi]
• Should We Adjust Visually Assessed Mammographic Density for Observer Variability?Elaine F. Harkness, Jamie C. Sergeant, Mary Wilson, Ursula M. Beetles, Soujanya Gadde, Yit Yoong Lim, Anthony Howell, D. Gareth Evans, Susan M. Astley. 540-547 [doi]
• Do Women with Low Breast Density Have Regionally High Breast Density?Amir Pasha Mahmoudzadeh, Serghei Malkov, Benjamin Hinton, Brian Sprague, Karla Kerlikowske, John A. Shepherd. 548-553 [doi]
• Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast ImagingJesús Ávila, Serghei Malkov, Maryellen L. Giger, Karen Drukker, John A. Shepherd. 554-563 [doi]
• Development of Fully-3D CT in a Hybrid SPECT-CT Breast Imaging SystemMartin P. Tornai, Jainil P. Shah, Steve D. Mann, Randolph L. McKinley. 567-575 [doi]
• Volumetric Breast-Density Measurement Using Spectral Photon-Counting Tomosynthesis: First Clinical ResultsErik Fredenberg, Karl Berggren, Matthias Bartels, Klaus Erhard. 576-584 [doi]
• Texture Analysis of Contrast-Enhanced Digital Mammography (CEDM) ImagesMaría-Julieta Mateos, Alfonso Gastelum, Jorge Márquez, María-Ester Brandan. 585-592 [doi]
• Estimating Breast Thickness for Dual-Energy Subtraction in Contrast-Enhanced Digital Mammography: A Theoretical ModelKristen C. Lau, Raymond J. Acciavatti, Andrew D. A. Maidment. 593-600 [doi]
• A Simulation Study on Spectral Lesion CharacterizationKlaus Erhard, Udo van Stevendaal. 601-608 [doi]
• Contrast Detail Phantoms for X-ray Phase-Contrast Mammography and TomographyKristina Bliznakova, Giovanni Mettivier, Paolo Russo, Ivan Buliev. 611-617 [doi]
• Image Quality and Radiation Dose in Propagation Based Phase Contrast Mammography with a Microfocus X-ray Tube: A Phantom StudyRoberta Castriconi, Giovanni Mettivier, Paolo Russo. 618-624 [doi]
• Phase-Contrast Clinical Breast CT: Optimization of Imaging Setups and Reconstruction WorkflowsGiuliana Tromba, Serena Pacilè, Yakov I. Nesterets, Francesco Brun, Christian Dullin, Diego Dreossi, Sheridan C. Mayo, Andrew W. Stevenson, Konstantin M. Pavlov, Markus J. Kitchen, Darren Thompson, Jeremy M. C. Brown, Darren Lockie, Maura Tonutti, Fulvio Stacul, Fabrizio Zanconati, Agostino Accardo, Tim E. Gureyev. 625-634 [doi]
• Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging MethodShelda Sajeev, Mariusz Bajger, Gobert N. Lee. 635-642 [doi]
• System Calibration for Quantitative Contrast-Enhanced Digital Breast Tomosynthesis (CEDBT)Melissa L. Hill, James G. Mainprize, Martin J. Yaffe. 645-653 [doi]
• Rapid Generation of Structured Physical Phantoms for Mammography and Digital Breast TomosynthesisLynda C. Ikejimba, Christian Graff, Stephen J. Glick. 654-659 [doi]
• A Novel 3D Stochastic Solid Breast Texture Model for X-Ray Breast ImagingZhijin Li, Agnès Desolneux, Serge Muller, Ann-Katherine Carton. 660-667 [doi]
• OPTIMAM Image Simulation Toolbox - Recent Developments and Ongoing StudiesPremkumar Elangovan, Andria Hadjipanteli, Alistair Mackenzie, David R. Dance, Kenneth C. Young, Kevin Wells. 668-675 [doi]
• Impact of Clinical Display Device on Detectability of Breast Masses in 2D Digital Mammography: A Virtual Clinical StudyAlaleh Rashidnasab, Frédéric Bemelmans, Nicholas W. Marshall, Tom Kimpe, Hilde Bosmans. 676-683 [doi]