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14th IWBI 2018: Atlanta, GA, USA
- Elizabeth A. Krupinski:
14th International Workshop on Breast Imaging, IWBI 2018, Atlanta, Georgia, USA, 8-11 July 2018. SPIE Proceedings 10718, SPIE 2018, ISBN 9781510620070 - Front Matter: Volume 10718. 1071801
Screening & Clinical Interpretation
- Gunvor G. Wåde, Åsne Holen, Berit Hanestad, Sofie Sebuødegård, Nataliia Moshina, Kristin Pedersen, Solveig Hofvind:
Breast compression parameters among women imaged with full field digital mammography and breast tomosynthesis in BreastScreen Norway. 1071802 - Alejandro Rodríguez-Ruiz, Jan-Jurre Mordang, Nico Karssemeijer, Ioannis Sechopoulos
, Ritse M. Mann
Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support? 1071803 - Ziba Gandomkar
Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer. 1071804
Deep Learning: Lesion Detection & Classification
- Timothy de Moor, Alejandro Rodríguez-Ruiz, Albert Gubern-Mérida, Ritse Mann
Automated lesion detection and segmentation in digital mammography using a u-net deep learning network. 1071805 - Hui Li, Deepa Sheth, Kayla R. Mendel, Li Lan, Maryellen L. Giger:
Deep learning in computer-aided diagnosis incorporating mammographic characteristics of both tumor and parenchyma stroma. 1071806 - Azam Hamidinekoo, Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar:
Comparing the performance of various deep networks for binary classification of breast tumours. 1071807 - Alessandro Bria, Claudio Marrocco
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. 1071808 - Chisako Muramatsu, Shunichi Higuchi, Takako Morita, Mikinao Oiwa, Tomonori Kawasaki, Hiroshi Fujita:
Retrieval of reference images of breast masses on mammograms by similarity space modeling. 1071809
Breast Density
- Andreas Fieselmann, Daniel Förnvik
Volumetric breast density measurement for personalized screening: accuracy, reproducibility, and agreement with visual assessment. 107180A - Minu George, Erika R. E. Denton, Reyer Zwiggelaar:
Mammogram breast density classification using mean-elliptical local binary patterns. 107180B - Nataliia Moshina, Gunvor G. Wåde, Marta Roman, Sofie Sebuødegård, Solveig Hofvind:
Mammographic breast density over time among women who have participated in BreastScreen Norway. 107180C - Georgia V. Ionescu, Martin Fergie, Michael Berks, Elaine F. Harkness
Using a convolutional neural network to predict readers' estimates of mammographic density for breast cancer risk assessment. 107180D - James G. Mainprize, Olivier Alonzo-Proulx, Taghreed Alshafeiy, James T. Patrie, Jennifer A. Harvey, Martin J. Yaffe:
Masking risk predictors in screening mammography. 107180E
Intersection of Clinical Imaging Sources
- Predrag R. Bakic
Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation. 107180F - Juhun Lee, Sung Eun Song, Robert M. Nishikawa
Developing imaging biomarkers for mammographically-occult cancer in dense breasts using a radiologist's progress rating on cancer development: a preliminary analysis. 107180G - Heather M. Whitney, Karen Drukker
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. 107180H
Image Quality: Dose & Motion
- Bruno Barufaldi, Elizabeth S. McDonald, Emily F. Conant, Andrew D. A. Maidment:
Diagnostic radiation dose after the implementation of digital breast tomosynthesis screening. 107180I - Koen Michielsen
Dose reduction in breast CT by spectrum switching. 107180J - Melissa L. Hill
Development of an automated detection algorithm for patient motion blur in digital mammograms. 107180K - Rongping Zeng, Congxian Jia, Nima Akhlaghi, Mahsa Torkaman, Brian S. Garra, Karen Alton, Rachel Brem, Tahira Ahmed, Richard Kaczmarek, Kyle J. Myers:
Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques. 107180L
Novel Imaging Technology
- Lawrence R. MacDonald, William C. J. Hunter, Chengeng Zeng, Larry A. Pierce, Sergei Dolinski, Donald DeWitt, Robert S. Miyaoka
The PET/X dedicated breast-PET scanner for optimizing cancer therapy. 107180M - Kristen C. Lau
Acquisition parameters for dual-energy contrast-enhanced digital mammography using a micelle-based all-in-one nanoparticle (AION) contrast agent: a phantom study. 107180N - Amy E. Becker, Andrew M. Hernandez, Paul Schwoebel, John M. Boone:
Multisource x-ray system for artifact reduction in dedicated breast CT. 107180O
Imaging Phantoms
- Joana Boita, Alistair Mackenzie
Breast phantom validation of a mammographic image modification method. 107180P - Lynda C. Ikejimba, Jesse Salad, Katherine Kemp, Christian G. Graff
Method for task-based evaluation of clinical FFDM and DBT systems using an anthropomorphic breast phantom. 107180Q - Raymond Joseph Acciavatti
Validation of the textural realism of a 3D anthropomorphic phantom for digital breast tomosynthesis. 107180R - Jesse Salad, Lynda C. Ikejimba, Andrey Makeev, Christian G. Graff
Development of a physical anthropomorphic breast phantom for objective task-based assessment of dedicated breast CT systems. 107180S
Image Analysis & Computer-Aided Techniques
- Sean D. Rose
Orientation dependent detectability of fiber-like signals in linear iterative image reconstruction for breast tomosynthesis. 107180T - Ziba Gandomkar
A framework for distinguishing benign from malignant breast histopathological images using deep residual networks. 107180U - Shelda Sajeev
Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study. 107180V - Claudio Marrocco
Mammogram denoising to improve the calcification detection performance of convolutional nets. 107180W - Shuyue Guan
Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks. 107180X
Simulation & Virtual Clinical Trials
- Liesbeth Vancoillie, Lesley Cockmartin, Kristina Tri Wigati, Dimitar Petrov, Guozhi Zhang, Nicholas Marshall
Performance evaluation of a 3D structured phantom with simulated lesions on breast imaging systems. 107180Y - Frank Schebesch, Magdalena Herbst, Thomas Mertelmeier, Andreas K. Maier, Ludwig Ritschl:
A hybrid approach for virtual clinical trials for mammographic imaging. 107180Z - Maria Castillo-García, Alejandro Rodríguez-Ruiz, Joao Emilio Peixoto, Margarita Chevalier:
Phantom-based comparison of microcalcification visibility between digital and synthetic mammography using humans and a deep neural network as observers. 1071810
Interactive Poster Session
- Giovanni Trovini, Christian Napoli, Robert Marti
A deep learning framework for micro-calcification detection in 2D mammography and C-view. 1071811 - Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar:
Multi-scale morphological feature extraction for the classification of micro-calcifications. 1071812 - Quan Chen, Jinze Liu, Kyle Luo, Xiaofei Zhang, Xiaoqin Wang:
Transfer deep learning mammography diagnostic model from public datasets to clinical practice: a comparison of model performance and mammography datasets. 1071813 - Junchi Liu, Amin Zarshenas, Syed Ammar Qadir, Limin Yang
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning. 1071814 - Rutong Zeng, Sitao Zhang, Xiang Zhang, Chushan Zheng, Jialun Zhang, Ke Xue, Jun Wei, Yao Lu, Jun Shen:
Metastatic breast cancer: characterization of axillary sentinel lymph node (SLN) on the preoperative spectral CT. 1071815 - Nashid Alam, Reyer Zwiggelaar:
Automatic classification of clustered microcalcifications in digitized mammogram using ensemble learning. 1071816 - Kazuya Abe, Hideya Takeo, Yuuichi Nagai, Yoshifumi Kuroki, Shigeru Nawano:
Creation of new artificial calcification shadows for breast cancer and verification of effectiveness of CAD development technique that uses no actual cases. 1071817 - Xiangyuan Ma, Jun Wei, Chuan Zhou, Heang-Ping Chan
Fully automated pectoral muscle identification on MLO-view mammograms with deep convolutional neural network. 1071818 - Dimitar Petrov, Nicholas Marshall
First results with a deep learning (feed-forward CNN) approach for daily quality control in digital breast tomosynthesis. 1071819 - Zobia Suhail, Arif Mahmood
Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encoding. 107181A - Andrik Rampun, Hui Wang
Classification of mammographic microcalcification clusters with machine learning confidence levels. 107181B - Jiayu Jiang, Yao Lu, Yanhui Guo:
A novel nipple detection algorithm on Digital Mammography (DM). 107181C - Benjamin Hinton, Heather Greenwood, Bonnie N. Joe, Karla Kerlikowske, Lin Ma, John Shepherd
Deep learning methods aid in predicting risk of interval cancer. 107181D - Gobert N. Lee
Deep learning and color variability in breast cancer histopathological images: a preliminary study. 107181E - Richa Agarwal
Mass detection in mammograms using pre-trained deep learning models. 107181F - Marco Caballo, Christian Fedon
Automatic estimation of glandular tissue loss due to limited reconstruction voxel size in tomographic images of the breast. 107181G - Hong-Jun Yoon, Arvind Ramanathan, Folami Alamudun
Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer. 107181H - Eloy García, Arnau Oliver, Oliver Díaz, Yago Diez
Changes in breast density over time using automatic density measures: preliminary analysis. 107181I - 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:
Lesion assessment and radiation dose in contrast-enhanced digital breast tomosynthesis. 107181J - Reina Suzuki, Shuji Koyama, Yoshie Kodera, Ai Nakajima, Mariko Sasaki, Hiroto Kimura, Hiroaki Hayashi, Tsutomu Yamakawa, Shuichiro Yamamoto, Daisuke Hashimoto, Masahiro Okada:
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. 107181K - Albert Malet, Diego García Pinto
Breast tomosynthesis reconstruction using TIGRE software tool. 107181L - Margarita Chevalier, Carolina Viloria, Peterson Squair, Maria Socorro Nogueira, Oliver Díaz
Digital breast tomosynthesis: impact of a new beam quality on dose to patients. 107181M - Ramona W. Bouwman, Christiana Balta, David R. Dance, Kenneth C. Young, Alistair Mackenzie
Independent images: a need for phantom based image quality assessment using model observers? 107181N - Nachiko Uchiyama, Hiroaki Kurihara, Takayuki Kinoshita, Masayuki Yoshida, Mari Kikuchi, Kyoichi Otsuka, Yasuaki Arai:
Preliminary experiences of DBT (digital breast tomosynthesis) and hybrid 18F-FDG-PET/MR (PETMR) for neoadjuvant chemotherapy (NAC) cases in breast cancer. 107181O - Sarah J. Lewis
Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging. 107181P - Xiaoqin Wang, Arzu Canan
Clinical performance of the tomosynthesis guided breast biopsy. 107181Q - Christoph Luckner, Frank Schebesch, Thomas Mertelmeier, Andreas Fieselmann, Andreas K. Maier, Ludwig Ritschl:
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. 107181R - Alejandro Rodríguez-Ruiz, Ruben E. van Engen, Koen Michielsen
How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study. 107181T - Bruno Barufaldi, Predrag R. Bakic
Developing populations of software breast phantoms for virtual clinical trials. 107181U - David A. Scaduto, Hailiang Huang, Chunling Liu, Kim Rinaldi, Axel Hebecker, Thomas Mertelmeier, Sebastian Vogt, Paul Fisher, Wei Zhao:
Impact of angular range of digital breast tomosynthesis on mass detection in dense breasts. 107181V - Qi You, Rungroj Jintamethasawat, Yuxin Wang, Jie Yuan, Marilyn A. Roubidoux, Ying Zhang, Paul L. Carson
Ultrasound transducer tracking system for correlation of masses in combined x-ray and manual breast ultrasound imaging. 107181W - Predrag R. Bakic
Optimized simulation of breast anatomy for virtual clinical trials. 107181X - J. P. Castillo-Lopez, J. C. Cruz-Rodríguez, H. A. Galván-Espinoza, F. Berumen, Y. Villaseñor-Navarro, María-Ester Brandan:
Optimization of acquisition parameters for the detection of secondary breast lesions applying temporal contrast enhanced digital mammography. 107181Y - 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:
Identification of breast tissue using the x-ray image measured with an energy-resolved cadmium telluride series detector based on photon-counting technique. 107181Z - Lonie R. Salkowski, Mai Elezaby, Amy M. Fowler, Elizabeth S. Burnside, Ryan W. Woods, Roberta M. Strigel:
Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls. 1071820 - Alireza Nasiri Avanaki, Kathryn S. Espig, Albert Xthona, Tom R. L. Kimpe:
An anthropomorphic model observer for spiculated masses. 1071821 - Elizabeth A. Krupinski:
Increasing display luminance as a means to enhance interpretation accuracy and efficiency when reducing full-field digital mammography dose. 1071822
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