Breast Imaging

1. Front Matter

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2. Invited Talks

   1. Virtual Clinical Trials for the Assessment of Novel Breast Screening Modalities

      • Andrew D. A. Maidment

      Pages 1-8

   2. Computer-Aided Diagnosis for B-Mode, Elastography and Automated Breast Ultrasound

      • Ruey-Feng Chang, Chung-Ming Lo

      Pages 9-15

   3. Measurement and Clinical Use of Breast Density

      • Kwan-Hoong Ng, Susie Lau

      Pages 16-23

   4. Low-Dose Molecular Breast Imaging - Diagnostic and Screening Applications in Women with Dense Breasts

      • Michael K. O’Connor

      Pages 24-29

   5. Will New Technologies Replace Mammography CAD as We Know It?

      • Julian Marshall, Ashwini Kshirsagar, Sibel Narin, Nikos Gkanatsios

      Pages 30-37

   6. Advanced Telecommunications in Breast Imaging – Streamlining Telemammography, Telepathology and Teleoncology Services to Improve Patient Care

      • Elizabeth A. Krupinski

      Pages 38-43

3. Screening Outcomes

   1. Predicting the Benefit of Using CADe in Screening Mammography

      • Robert M. Nishikawa, Andriy Bandos

      Pages 44-49

   2. Modeling Breast Cancer Screening Outcomes

      • Martin J. Yaffe, Nicole Mittman, Natasha Stout, Pablo Lee, Anna Tosteson

      Pages 50-55

   3. The Impact of Introducing Full Field Digital Mammography into a Screening Programme

      • Thomas Fyall, Caroline Boggis, Jamie Sergeant, Elaine Harkness, Sigrid Whiteside, Julie Morris et al.

      Pages 56-63

4. Ultrasound

   1. Fully Automated Nipple Detection in 3D Breast Ultrasound Images

      • Lei Wang, Tobias Böhler, Fabian Zöhrer, Joachim Georgii, Claudia Rauh, Peter A. Fasching et al.

      Pages 64-71

   2. Breast Imaging with 3D Ultrasound Computer Tomography: Results of a First In-vivo Study in Comparison to MRI Images

      • Torsten Hopp, Lukas Šroba, Michael Zapf, Robin Dapp, Ernst Kretzek, Hartmut Gemmeke et al.

      Pages 72-79

5. Breast Density

   1. Factors Affecting Agreement between Breast Density Assessment Using Volumetric Methods and Visual Analogue Scales

      • Lucy Beattie, Elaine Harkness, Megan Bydder, Jamie Sergeant, Anthony Maxwell, Nicky Barr et al.

      Pages 80-87

   2. Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning

      • Kersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm

      Pages 88-94

6. Imaging Physics I

   1. Optimization of X-Ray Spectra for Dual-Energy Contrast-Enhanced Breast Imaging: Dependency on CsI Detector Scintillator Thickness

      • Pablo Milioni de Carvalho, Ann-Katherine Carton, Sylvie Saab-Puong, Răzvan Iordache, Serge Muller

      Pages 95-102

   2. Dose-Saving Potential of Linear- and Non-Linear Energy Weighting in Photon-Counting Spectral Mammography

      • Udo van Stevendaal, Hanno Homann, Ewald Roessl, Klaus Erhard, Björn Cederström

      Pages 103-108

   3. Compositional Three-Component Breast Imaging of Fibroadenoma and Invasive Cancer Lesions: Pilot Study

      • Serghei Malkov, Fred Duewer, Karla Kerlikowske, Karen Drukker, Maryellen Giger, John Shepherd

      Pages 109-114

7. CAD

   1. Potential Usefulness of Presentation of Histological Classifications with Computer-Aided Diagnosis (CAD) Scheme in Differential Diagnosis of Clustered Microcalcifications on Mammograms

      • Ryohei Nakayama, Kiyoshi Namba, Ryoji Watanabe, Hiroshi Nakahara, Ralph Smathers

      Pages 115-120

   2. Potential Usefulness of Breast Radiographers’ Reporting as a Second Opinion for Radiologists’ Reading in Digital Mammography

      • Rie Tanaka, Miho Takamori, Yoshikazu Uchiyama, Junji Shiraishi

      Pages 121-126

8. Tomosynthesis

   1. Effective Detective Quantum Efficiency (eDQE) Measured for a Digital Breast Tomosynthesis System

      • Nicholas Marshall, Elena Salvagnini, Hilde Bosmans

      Pages 127-133

This book constitutes the refereed proceedings of the 12th International Workshop on Breast Imaging, IWDM 2014, held in Gifu City, Japan, in June/July 2014. The 24 revised full papers and 73 revised poster papers presented together with 6 invited talks were carefully reviewed and selected from 122 submissions. The papers are organized in topical sections on screening outcomes, ultrasound, breast density, imaging physics, CAD, tomosynthesis and ICT and image processing.

• breast cancer
• clustering and classification
• digital breast tomosynthesis
• image processing
• image segmentation
• machine learning
• pattern recognition
• quality assurance
• support vector machines
• x-ray computed tomography

• Department of Intelligent Image Information, Gifu University Graduate School of Medicine, Gifu, Japan

  Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu

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