| Breast Density | |
| A New Step-Wedge for the Volumetric Measurement of Mammographic Density | p. 1 |
| Assessing Ground Truth of Glandular Tissue | p. 10 |
| Volumetric Breast Density Estimation on Mammograms Using Breast Tissue Equivalent Phantoms - An Update | p. 18 |
| An Alternative Approach to Measuring Volumetric Mammographic Breast Density | p. 26 |
| Breast Density Dependent Computer Aided Detection | p. 34 |
| Evaluation of Effects of HRT on Breast Density | p. 39 |
| CAD | |
| Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography | p. 46 |
| Use of Prompt Magnitude in Computer Aided Detection of Masses in Mammograms | p. 54 |
| Current Screening Practice: Implications for the Introduction of CAD | p. 61 |
| Mammographic Mass Detection Using Unsupervised Clustering in Synergy with a Parcimonious Supervised Rule-Based Classifier | p. 68 |
| Computerized Classification Can Reduce Unnecessary Biopsies in BI-RADS Category 4A Lesions | p. 76 |
| Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications | p. 84 |
| Computer-Aided Detection of Breast Cancer Using an Ultra High-Resolution Liquid Crystal Display: Reading Session Analysis | p. 92 |
| Clinical Practice | |
| Mammography Reading with Computer-Aided Detection (CAD): Performance of Different Readers | p. 97 |
| The Impact of Integration of Computer-Aided Detection and Human Observers | p. 105 |
| Improving Access to Mammography in Rural Areas | p. 111 |
| Dual Modality Surgical Guidance for Non-palpable Breast Lesions | p. 118 |
| Mammography Reading with Computer-Aided Detection (CAD): Single View vs Two Views | p. 125 |
| Automated Breast Tissue Measurement of Women at Increased Risk of Breast Cancer | p. 131 |
| Tomosynthesis | |
| Mammography Tomosynthesis System for High Performance 3D Imaging | p. 137 |
| Clinical Evaluation of a Photon-Counting Tomosynthesis Mammography System | p. 144 |
| Three-Dimensional Digital Breast Tomosynthesis in the Early Diagnosis and Detection of Breast Cancer | p. 152 |
| Lesion Visibility in Low Dose Tomosynthesis | p. 160 |
| Generalized Filtered Back-Projection Reconstruction in Breast Tomosynthesis | p. 167 |
| Adaptation of Image Quality Using Various Filter Setups in the Filtered Backprojection Approach for Digital Breast Tomosynthesis | p. 175 |
| Optimization of Contrast-Enhanced Digital Breast Tomosynthesis | p. 183 |
| Development of an Analytic Breast Phantom for Quantitative Comparison of Reconstruction Algorithms for Digital Breast Tomosynthesis | p. 190 |
| Registration and Multiple View Mammography | |
| X-Ray Mammogram Registration: A Novel Validation Method | p. 197 |
| A Probabilistic Approach for the Simultaneous Mammogram Registration and Abnormality Detection | p. 205 |
| Mammographic Registration: Proposal and Evaluation of a New Approach | p. 213 |
| Image Similarity and Asymmetry to Improve Computer-Aided Detection of Breast Cancer | p. 221 |
| Potential Usefulness of Multiple-Mammographic Views in Computer-Aided Diagnosis Scheme for Identifying Histological Classification of Clustered Microcalcification | p. 229 |
| Exploitation of Correspondence Between CC and MLO Views in Computer Aided Mass Detection | p. 237 |
| Physics Models | |
| Breast Composition Measurements Using Retrospective Standard Mammogram Form (SMF) | p. 243 |
| A Scatter Model for Use in Measuring Volumetric Mammographic Breast Density | p. 251 |
| Using a Homogeneity Test as Weekly Quality Control on Digital Mammography Units | p. 259 |
| Automated and Human Determination of Threshold Contrast for Digital Mammography Systems | p. 266 |
| Beam Optimization for Digital Mammography - II | p. 273 |
| Image Qualities of Phase-Contrast Mammography | p. 281 |
| Application of the Multiple Image Radiography Method to Breast Imaging | p. 289 |
| Correlating Cone-Beam CT and Large-Section Histology Image Sets: Initial Results Using a Surgical Lumpectomy Specimen | p. 299 |
| Poster Session | |
| Calcification Descriptor and Relevance Feedback Learning Algorithms for Content-Based Mammogram Retrieval | p. 307 |
| Clinical Optimization of Filters in Direct a-Se FFDM (Full Field Digital Mammography) System | p. 315 |
| Study on Cascade Classification in Abnormal Shadow Detection for Mammograms | p. 324 |
| Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations | p. 332 |
| A Ranklet-Based CAD for Digital Mammography | p. 340 |
| Detection of Microcalcifications in Digital Mammograms Based on Dual-Threshold | p. 347 |
| Feasibility and Acceptability of Stepwedge-Based Density Measurement | p. 355 |
| Use of the European Protocol to Optimise a Digital Mammography System | p. 362 |
| Automated Detection Method for Architectural Distortion with Spiculation Based on Distribution Assessment of Mammary Gland on Mammogram | p. 370 |
| Web Services for the DDSM and Digital Mammography Research | p. 376 |
| GPCALMA: An Italian Mammographic Database of Digitized Images for Research | p. 384 |
| Development of Breast Ultrasound CAD System for Screening | p. 392 |
| Linking Image Structures with Medical Ontology Information | p. 399 |
| Comparison Between Wolfe, Boyd, BI-RADS and Tabar Based Mammographic Risk Assessment | p. 407 |
| Initial Results of the Daily Quality Control of Medical Screen Devices Using a Dynamic Pattern in a Digital Mammography Environment | p. 416 |
| A Filter-Based Approach Towards Automatic Detection of Microcalcification | p. 424 |
| Texture Based Segmentation | p. 433 |
| Image Quality of a Photon-Counting Mammography System Compared to Digital Mammography Based on Amorphous Silicon with CsI-Scintillator | p. 441 |
| Understanding Hessian-Based Density Scoring | p. 447 |
| Review of the Dose and Image Quality Characteristics of 3 FFDM Systems in Clinical Practice in a Screening Programme | p. 453 |
| Impact of Textured Background on Scoring of Simulated CDMAM Phantom | p. 460 |
| Magnetic Resonance Electrical Impedance Mammography: A Pilot Study | p. 468 |
| Experimental Investigation of the Necessity for Extra Flat Field Corrections in Quality Control of Digital Mammography | p. 475 |
| Observer Evaluations of Wavelet Methods for the Enhancement and Compression of Digitized Mammograms | p. 482 |
| Evaluating the Effect of Dose on Reconstructed Image Quality in Digital Tomosynthesis | p. 490 |
| Registration of Mammograms and Breast Tomosynthesis Images | p. 498 |
| Complementary Role of Computer Aided Detection in Mammography | p. 504 |
| The Refinement of Microcalcification Cluster Assessment by Joint Analysis of MLO and CC Views | p. 509 |
| The Dependence of Tomosynthesis Imaging Performance on the Number of Scan Projections | p. 517 |
| First Attempt at 3D X-Ray Visualization of DCIS (Ductal Carcinoma in Situ) Due to Refraction Contrast - In Good Relation to Pathological View | p. 525 |
| Wavelet Methods | |
| Lossless Compression of Digital Mammograms | p. 533 |
| Capturing Microcalcification Patterns in Dense Parenchyma with Wavelet-Based Eigenimages | p. 541 |
| Breast Component Adaptive Wavelet Enhancement for Soft-Copy Display of Mammograms | p. 549 |
| Using Wavelet-Based Features to Identify Masses in Dense Breast Parenchyma | p. 557 |
| Full-Field Digital Mammography | |
| Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal | p. 565 |
| Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images | p. 569 |
| Comparison Between CRT and LCD Displays for Full-Field-Digital-Mammography (FFDM) Interpretation | p. 576 |
| A Harmonized Quality Control Program for Digital Mammography | p. 585 |
| Contrast Threshold of 4 Full Field Digital Mammography Systems Using Different Measurement Methods | p. 593 |
| Segmentation | |
| The Use of Multi-scale Monogenic Signal on Structure Orientation Identification and Segmentation | p. 601 |
| Breast Density Segmentation Using Texture | p. 609 |
| Texture Based Mammogram Classification and Segmentation | p. 616 |
| Mammographic Risk Assessment Based on Anatomical Linear Structures | p. 626 |
| Comparison of Methods for Classification of Breast Ductal Branching Patterns | p. 634 |
| Validation of Graph Theoretic Segmentation of the Pectoral Muscle | p. 642 |
| Author Index | p. 651 |
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