Digital Mammography: 8th International Workshop, Iwdm 2006, Manchester, Uk, June 18-21, 2006, Proceedings

ISBN-13: 9783540356257 / Angielski / Miękka / 2006 / 676 str.

Susan M. Astley; Michael Brady; Chris Rose

Opis

This volume of Springer s Lecture Notes in Computer Science series records th the proceedings of the 8 International Workshop on Digital Mammography (IWDM), which was held in Manchester, UK, June 18 21, 2006. The meetings bringtogetheradiversesetofresearchers(physicists, mathematicians, computer scientists, engineers), clinicians (radiologists, surgeons) and representatives of industry, who are jointly committed to developing technology, not just for its ownsake, but to supportclinicians inthe earlydetection andsubsequentpatient management of breast cancer. The conference series was initiated at a 1993 meeting of the SPIE in San Jose, with subsequent meetings hosted every two years by researchers around the world. Previous meetings were held in York, Chicago, Nijmegen, Toronto, Bremen, and North Carolina. It is interesting to re?ect on the changes that have occurred during the past 13 years. Then, the dominant technology was ?lm-screen mammography; now it is full-?eld digital mammography. Then, there were few screening programmes world-wide; now there are many. Then, there was the hope that computer-aided detection (CAD) of early signs of cancer might be possible; now CAD is not only a reality but (more importantly) a commercially led clinical reality. Then, algorithmswerealmostentirelyheuristicwithlittleclinicalsupport;nowthereis arequirementforsubstantialclinicalsupportforanyalgorithmthatisdeveloped and published. However, upon re?ection, could we have predicted with absolute certainty what would be the key questions to be addressed over the subsequent (say) six years? No That is the nature, joy, and frustration of research. There are more blind alleys to explore than there are rich veins that bring gold (in all senses of that analogy )."

Spis treści

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