Share Email Print
cover

PROCEEDINGS VOLUME 10718

14th International Workshop on Breast Imaging (IWBI 2018)
For the purchase of this volume in printed format, please visit Proceedings.com

Volume Details

Volume Number: 10718
Date Published: 20 June 2018

Table of Contents
show all abstracts | hide all abstracts
Front Matter: Volume 10718
Author(s): Proceedings of SPIE
Breast compression parameters among women imaged with full field digital mammography and breast tomosynthesis in BreastScreen Norway
Author(s): G. G. Waade; Åsne Holen; B. Hanestad; S. Sebuødegård; N. Moshina; K. Pedersen; Hofvind
Show Abstract
Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?
Author(s): Alejandro Rodriguez-Ruiz; Jan-Jurre Mordang; Nico Karssemeijer; Ioannis Sechopoulos; Ritse M. Mann
Show Abstract
Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer
Author(s): Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis; Karla K. Evans; Kriscia Tapia; Phuong-Dung Trieu; Jeremy M. Wolfe; Patrick C. Brennan
Show Abstract
Automated lesion detection and segmentation in digital mammography using a u-net deep learning network
Author(s): Timothy de Moor; Alejandro Rodriguez-Ruiz; Albert Gubern Mérida; Ritse Mann; Jonas Teuwen
Show Abstract
Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma
Author(s): Hui Li; Deepa Sheth; Kayla R. Mendel; Li Lan; Maryellen L. Giger
Show Abstract
Comparing the performance of various deep networks for binary classification of breast tumours
Author(s): Azam Hamidinekoo; Zobia Suhail; Erika Denton; Reyer Zwiggelaar
Show Abstract
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets
Author(s): Alessandro Bria; Claudio Marrocco; Mario Molinara; Benedetta Savelli; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella
Show Abstract
Retrieval of reference images of breast masses on mammograms by similarity space modeling
Author(s): Chisako Muramatsu; Shunichi Higuchi; Takako Morita; Mikinao Oiwa; Tomonori Kawasaki; Hiroshi Fujita
Show Abstract
Volumetric breast density measurement for personalized screening: accuracy, reproducibility, and agreement with visual assessment
Author(s): Andreas Fieselmann; Daniel Förnvik; Hannie Förnvik; Kristina Lång; Hanna Sartor; Sophia Zackrisson; Ludwig Ritschl; Thomas Mertelmeier
Show Abstract
Mammogram breast density classification using mean-elliptical local binary patterns
Author(s): Minu George; Erika Denton; Reyer Zwiggelaar
Show Abstract
Mammographic breast density over time among women who have participated in BreastScreen Norway
Author(s): Nataliia Moshina; Gunvor G. Wåde; Marta Roman; Sofie Sebuødegård; Solveig Hofvind
Show Abstract
Using a convolutional neural network to predict readers' estimates of mammographic density for breast cancer risk assessment
Author(s): Georgia V. Ionescu; Martin Fergie; Michael Berks; Elaine F. Harkness; Johan Hulleman; Adam R. Brentnall; Jack Cuzick; D. Gareth Evans; Susan M. Astley
Show Abstract
Masking risk predictors in screening mammography
Author(s): James G. Mainprize; Olivier Alonzo-Proulx; Taghreed Alshafeiy; James T. Patrie; Jennifer A. Harvey; Martin J. Yaffe
Show Abstract
Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation
Author(s): Predrag R. Bakic; David D. Pokrajac; Michael D. Feldman; Andrew D. A. Maidment
Show Abstract
Developing imaging biomarkers for mammographically-occult cancer in dense breasts using a radiologist's progress rating on cancer development: a preliminary analysis
Author(s): Juhun Lee; Sung Eun Song; Robert M. Nishikawa
Show Abstract
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers
Author(s): Heather M. Whitney; Karen Drukker; Alexandra Edwards; John Papaioannou; Maryellen L. Giger
Show Abstract
Diagnostic radiation dose after the implementation of digital breast tomosynthesis screening
Author(s): Bruno Barufaldi; Elizabeth McDonald; Emily Conant; Andrew D. A. Maidment
Show Abstract
Dose reduction in breast CT by spectrum switching
Author(s): Koen Michielsen; Christian Fedon; James Nagy; Ioannis Sechopoulos
Show Abstract
Development of an automated detection algorithm for patient motion blur in digital mammograms
Author(s): Melissa L. Hill; Patsy Whelehan; Sarah J. Vinnicombe; Christopher E. Tromans; Andrew Evans; Violet R. Warwick; J. Michael Brady; Ralph P. Highnam
Show Abstract
Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques
Author(s): Rongping Zeng; Congxian Jia; Nima Akhlaghi; Mahsa Torkaman; Brian Garra; Karen Alton; Rachel Brem; Tahira Ahmed; Richard Kaczmarek; Kyle J. Myers
Show Abstract
The PET/X dedicated breast-PET scanner for optimizing cancer therapy
Author(s): Lawrence R. MacDonald; William C. J. Hunter; Chengeng Zeng; Larry A. Pierce; Sergei Dolinski; Donald DeWitt; Robert S. Miyaoka; Paul E. Kinahan
Show Abstract
Acquisition parameters for dual-energy contrast-enhanced digital mammography using a micelle-based all-in-one nanoparticle (AION) contrast agent: a phantom study
Author(s): Kristen C. Lau; Jessica C. Hsu; Pratap C. Naha; Peter Chhour; Renee Hastings; Joel M. Stein; Elizabeth S. McDonald; David P. Cormode; Andrew D. A. Maidment
Show Abstract
Multisource x-ray system for artifact reduction in dedicated breast CT
Author(s): Amy E. Becker; Andrew M. Hernandez; Paul Schwoebel; John M. Boone
Show Abstract
Breast phantom validation of a mammographic image modification method
Author(s): Joana Boita; Alistair Mackenzie; Ioannis Sechopoulos
Show Abstract
Method for task-based evaluation of clinical FFDM and DBT systems using an anthropomorphic breast phantom
Author(s): Lynda C. Ikejimba; Jesse Salad; Katherine Kemp; Christian G. Graff; Bahaa Ghammraoui; Joseph Y. Lo; Stephen J. Glick
Show Abstract
Validation of the textural realism of a 3D anthropomorphic phantom for digital breast tomosynthesis
Author(s): Raymond J. Acciavatti; Meng-Kang Hsieh; Aimilia Gastounioti; Yifan Hu; Jinbo Chen; Andrew D. A. Maidment; Despina Kontos
Show Abstract
Development of a physical anthropomorphic breast phantom for objective task-based assessment of dedicated breast CT systems
Author(s): Jesse Salad; Lynda C. Ikejimba; Andrey Makeev; Christian G. Graff; Bahaa Ghammraoui; Stephen J. Glick
Show Abstract
Orientation dependent detectability of fiber-like signals in linear iterative image reconstruction for breast tomosynthesis
Author(s): Sean D. Rose; Ingrid Reiser; Emil Y. Sidky; Xiaochuan Pan
Show Abstract
A framework for distinguishing benign from malignant breast histopathological images using deep residual networks
Author(s): Ziba Gandomkar; Patrick C. Brennan; Claudia Mello-Thoms
Show Abstract
Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study
Author(s): Shelda Sajeev; Mariusz Bajger; Gobert Lee
Show Abstract
Mammogram denoising to improve the calcification detection performance of convolutional nets
Author(s): Claudio Marrocco; Alessandro Bria; Valerio Di Sano; Lucas R. Borges; Benedetta Savelli; Mario Molinara; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella
Show Abstract
Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks
Author(s): Shuyue Guan; Murray Loew
Show Abstract
Performance evaluation of a 3D structured phantom with simulated lesions on breast imaging systems
Author(s): Liesbeth Vancoillie; Lesley Cockmartin; Kristina Tri Wigati; Dimitar Petrov; Guozhi Zhang; Nicholas Marshall; Hilde Bosmans
Show Abstract
A hybrid approach for virtual clinical trials for mammographic imaging
Author(s): Frank Schebesch; Magdalena Herbst; Thomas Mertelmeier; Andreas Maier; Ludwig Ritschl
Show Abstract
Phantom-based comparison of microcalcification visibility between digital and synthetic mammography using humans and a deep neural network as observers
Author(s): Maria Castillo-García; Alejandro Rodríguez-Ruiz; Joao Emilio Peixoto; Margarita Chevalier
Show Abstract
A deep learning framework for micro-calcification detection in 2D mammography and C-view
Author(s): Giovanni Trovini; Christian Napoli; Robert Marti; Amaya Martin; Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella; Oliver Diaz
Show Abstract
Multi-scale morphological feature extraction for the classification of micro-calcifications
Author(s): Zobia Suhail; Erika R. E. Denton; Reyer Zwiggelaar
Show Abstract
Transfer deep learning mammography diagnostic model from public datasets to clinical practice: a comparison of model performance and mammography datasets
Author(s): Quan Chen; Jinze Liu; Kyle Luo; Xiaofei Zhang; Xiaoqin Wang
Show Abstract
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning
Author(s): Junchi Liu; Amin Zarshenas ; Syed Ammar Qadir; Limin Yang; Laurie Fajardo; Kenji Suzuki
Show Abstract
Metastatic breast cancer: characterization of axillary sentinel lymph node (SLN) on the preoperative spectral CT
Author(s): Rutong Zeng; Sitao Zhang; Xiang Zhang; Chushan Zheng; Jialun Zhang; Ke Xue; Jun Wei; Yao Lu; Jun Shen
Show Abstract
Automatic classification of clustered microcalcifications in digitized mammogram using ensemble learning
Author(s): Nashid Alam; Reyer Zwiggelaar
Show Abstract
Creation of new artificial calcification shadows for breast cancer and verification of effectiveness of CAD development technique that uses no actual cases
Author(s): K. Abe; H. Takeo; Y. Nagai; Y. Kuroki; S. Nawano
Show Abstract
Fully automated pectoral muscle identification on MLO-view mammograms with deep convolutional neural network
Author(s): Xiangyuan Ma; Jun Wei; Chuan Zhou; Heang-Ping Chan; Lubomir M. Hadjiyski; Yao Lu
Show Abstract
First results with a deep learning (feed-forward CNN) approach for daily quality control in digital breast tomosynthesis
Author(s): Dimitar Petrov; Nicholas Marshall; Lesley Cockmartin; Hilde Bosmans
Show Abstract
Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encoding
Author(s): Zobia Suhail; Arif Mahmood; Erika R. E. Denton; Reyer Zwiggelaar
Show Abstract
Classification of mammographic microcalcification clusters with machine learning confidence levels
Author(s): Andrik Rampun; Hui Wang; Bryan Scotney; Philip Morrow; Reyer Zwiggelaar
Show Abstract
A novel nipple detection algorithm on Digital Mammography (DM)
Author(s): Jiayu Jiang; Yao Lu; Yanhui Guo
Show Abstract
Deep learning methods aid in predicting risk of interval cancer
Author(s): Benjamin Hinton; Heather Greenwood; Bonnie Joe; Karla Kerlikowske; Lin Ma; John Shepherd
Show Abstract
Deep learning and color variability in breast cancer histopathological images: a preliminary study
Author(s): Gobert Lee; Mariusz Bajger; Kevin Clark
Show Abstract
Mass detection in mammograms using pre-trained deep learning models
Author(s): Richa Agarwal; Oliver Diaz; Xavier Lladó; Robert Martí
Show Abstract
Automatic estimation of glandular tissue loss due to limited reconstruction voxel size in tomographic images of the breast
Author(s): Marco Caballo; Christian Fedon; Luca Brombal; Koen Michielsen; Renata Longo; Ioannis Sechopoulos
Show Abstract
Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer
Author(s): Hong-Jun Yoon; Arvind Ramanathan; Folami Alamudun; Georgia Tourassi
Show Abstract
Changes in breast density over time using automatic density measures: preliminary analysis
Author(s): E. García; A. Oliver; O. Diaz; Y. Diez; A. Gubern-Mérida; J. Martí; R. Martí
Show Abstract
Lesion assessment and radiation dose in contrast-enhanced digital breast tomosynthesis
Author(s): Hailiang Huang; David A. Scaduto; Chunling Liu; Jie Yang; Chencan Zhu; Kim Rinaldi; Jason Eisenberg; Jingxuan Liu; Mathias Hoernig; Julia Wicklein; Sebastian Vogt; Thomas Mertelmeier; Paul R. Fisher; Wei Zhao
Show Abstract
Development of energy-resolved photon-counting mammography with a cadmium telluride series detector to reduce radiation exposure and increase contrast-to-noise ratio using the high-energy X-rays
Author(s): Reina Suzuki; Shuji Koyama; Yoshie Kodera; Ai Nakajima; Mariko Sasaki; Hiroto Kimura; Hiroaki Hayashi; Tsutomu Yamakawa; Shuichiro Yamamoto; Daisuke Hashimoto; Masahiro Okada
Show Abstract
Breast tomosynthesis reconstruction using TIGRE software tool
Author(s): Albert Malet; Diego García Pinto; Josep Fernandez; Robert Martí; Oliver Díaz
Show Abstract
Digital breast tomosynthesis: impact of a new beam quality on dose to patients
Author(s): M. Chevalier; C. Viloria; P. Squair; M. S. Nogueira; O. Diaz
Show Abstract
Independent images: a need for phantom based image quality assessment using model observers?
Author(s): Ramona W. Bouwman; Christiana Balta; David R. Dance; Kenneth C. Young; Alistair Mackenzie; Ioannis Sechopoulos; Ruben E. van Engen
Show Abstract
Preliminary experiences of DBT (digital breast tomosynthesis) and hybrid 18F-FDG-PET/MR (PETMR) for neoadjuvant chemotherapy (NAC) cases in breast cancer
Author(s): Nachiko Uchiyama; Hiroaki Kurihara; Takayuki Kinoshita; Masayuki Yoshida; Mari Kikuchi; Kyoichi Otsuka; Yasuaki Arai
Show Abstract
Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging
Author(s): Sarah J. Lewis; Timur E. Gureyev; Patrycja Baran; Seyedamir Tavakoli Taba; Serena Pacile; Christian Dullin; Giuliana Tromba; Daniel Hausermann; Andrew Peele; Darren Lockie; Patrick C. Brennan
Show Abstract
Clinical performance of the tomosynthesis guided breast biopsy
Author(s): Xiaoqin Wang; Arzu Canan; Shrujal Patel; Li Chen; Richard Gibbs; Margaret Szabunio
Show Abstract
Towards an analytic model describing the effect of scan angle and slice thickness on the in-plane spatial resolution of calcifications in digital breast tomosynthesis
Author(s): Christoph Luckner; Frank Schebesch; Thomas Mertelmeier; Andreas Fieselmann; Andreas Maier; Ludwig Ritschl
Show Abstract
How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study
Author(s): Alejandro Rodriguez-Ruiz; Ruben E. van Engen; Koen Michielsen; Ramona W. Bouwman; Suzan Vreemann; Nico Karssemeijer; Ritse M. Mann; Ioannis Sechopoulos
Show Abstract
Developing populations of software breast phantoms for virtual clinical trials
Author(s): Bruno Barufaldi; Predrag R. Bakic; David D. Pokrajac; Miguel A. Lago; Andrew D. A. Maidment
Show Abstract
Impact of angular range of digital breast tomosynthesis on mass detection in dense breasts
Author(s): David A. Scaduto; Hailiang Huang; Chunling Liu; Kim Rinaldi; Axel Hebecker; Thomas Mertelmeier; Sebastian Vogt; Paul Fisher; Wei Zhao
Show Abstract
Ultrasound transducer tracking system for correlation of masses in combined x-ray and manual breast ultrasound imaging
Author(s): Qi You; Rungroj Jintamethasawat; Yuxin Wang; Jie Yuan; Marilyn A. Roubidoux; Ying Zhang; Paul L. Carson
Show Abstract
Optimized simulation of breast anatomy for virtual clinical trials
Author(s): Predrag R. Bakic; Bruno Barufaldi; David D. Pokrajac; Susan P. Weinstein; Andrew D. A. Maidment
Show Abstract
Optimization of acquisition parameters for the detection of secondary breast lesions applying temporal contrast enhanced digital mammography
Author(s): J. P. Castillo-Lopez; J. C. Cruz-Rodríguez; H. A. Galván-Espinoza; F. Berumen; Y. Villaseñor-Navarro; M. E. Brandan
Show Abstract
Identification of breast tissue using the x-ray image measured with an energy-resolved cadmium telluride series detector based on photon-counting technique
Author(s): Mariko Sasaki; Shuji Koyama; Yoshie Kodera; Reina Suzuki; Ai Nakajima; Hiroko Nishide; Mitsuhiro Mizutani; Megumi Watanabe; Naoko Yoshida; Hiroaki Hayashi; Tsutomu Yamakawa; Shuichiro Yamamoto; Daisuke Hashimoto; Masahiro Okada
Show Abstract
Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls
Author(s): Lonie R. Salkowski; Mai Elezaby; Amy M. Fowler; Elizabeth Burnside; Ryan W. Woods; Roberta M. Strigel
Show Abstract
An anthropomorphic model observer for spiculated masses
Author(s): Ali R. N. Avanaki; Kathryn S. Espig; Albert Xthona; Tom R. L. Kimpe
Show Abstract
Increasing display luminance as a means to enhance interpretation accuracy and efficiency when reducing full-field digital mammography dose
Author(s): Elizabeth A. Krupinski
Show Abstract

© SPIE. Terms of Use
Back to Top