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PROCEEDINGS VOLUME 10952 • new

Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment
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Volume Details

Volume Number: 10952
Date Published: 17 June 2019

Table of Contents
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Front Matter: Volume 10952
Author(s): Proceedings of SPIE
Visual adaptation and the perception of radiological images (Conference Presentation)
Author(s): Michael A. Webster
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Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms?
Author(s): Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis; Karla K. Evans; Kriscia A. Tapia; PhuongDung Trieu; Jeremy M. Wolfe; Patrick C. Brennan
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Oculomotor behavior of radiologists reading digital breast tomosynthesis (DBT)
Author(s): Nicholas M. D'Ardenne; Robert M. Nishikawa; Margarita L. Zuley; Chia-Chien Wu; Jeremy M. Wolfe
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Automatic strategy for CHO channel reduction in x-ray angiography systems
Author(s): Daniel Gomez-Cardona; Shuai Leng; Christopher P. Favazza; Beth A. Schueler; Kenneth A. Fetterly
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Template models for forced-localization tasks
Author(s): Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle Myers
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Autoencoder embedding of task-specific information
Author(s): Jason L. Granstedt; Weimin Zhou; Mark A. Anastasio
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Learning the Hotelling observer for SKE detection tasks by use of supervised learning methods
Author(s): Weimin Zhou; Hua Li; Mark A. Anastasio
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Learning the ideal observer for joint detection and localization tasks by use of convolutional neural networks
Author(s): Weimin Zhou; Mark A. Anastasio
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Laguerre-Gauss and sparse difference-of-Gaussians observer models for signal detection using constrained reconstruction in magnetic resonance imaging
Author(s): Angel R. Pineda
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Tests of projection and reconstruction domain equivalence for a feature-driven model observer
Author(s): Howard C. Gifford; Zohreh Karbaschi
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New difference of Gaussian channel-sets for the channelized Hotelling observer?
Author(s): Christiana Balta; Ioannis Sechopoulos; Ramona W. Bouwman; Mireille J. M. Broeders; Nico Karssemeijer; Ruben E. van Engen; Wouter J. H. Veldkamp
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A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images
Author(s): Miguel A. Lago; Craig K. Abbey; Miguel P. Eckstein
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Using transfer learning for a deep learning model observer
Author(s): W. Murphy; P. Elangovan; M. Halling-Brown; E. Lewis; K. C. Young; D. R. Dance; K. Wells
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Estimating latent reader-performance variability using the Obuchowski-Rockette method
Author(s): Stephen L. Hillis; Badera Al Mohammad; Patrick C. Brennan
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Adaptive sample size re-estimation in MRMC studies
Author(s): Weijie Chen; Zhipeng Huang; Frank Samuelson; Lucas Tcheuko
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Radiation-therapy-induced erythema: comparison of spectroscopic diffuse reflectance measurements and visual assessment
Author(s): Ramy Abdlaty; Lilian Doerwald; Joseph Hayward; Qiyin Fang
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Impact of patient photos on detection accuracy, decision confidence, and eye-tracking parameters in chest and abdomen images with tubes and lines
Author(s): Elizabeth A. Krupinski
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Is there a safety-net effect with computer-aided detection (CAD)?
Author(s): Ethan Du-Crow; Lucy Warren; Susan M. Astley; Johan Hulleman
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Correlation between a deep-learning-based model observer and human observer for a realistic lung nodule localization task in chest CT
Author(s): Hao Gong; Andrew Walther; Qiyuan Hu; Chi Wan Koo; Edwin A. Takahashi; David L. Levin; Tucker F. Johnson; Megan J. Hora; Shuai Leng; J. G. Fletcher; Cynthia H. McCollough; Lifeng Yu
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Implementation of an ideal observer model using convolutional neural network for breast CT images
Author(s): Gihun Kim; Minah Han; Hyunjung Shim; Jongduk Baek
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Learning stochastic object model from noisy imaging measurements using AmbientGANs
Author(s): Weimin Zhou; Sayantan Bhadra; Frank Brooks; Mark A. Anastasio
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BI-RADS density categorization using deep neural networks
Author(s): Ziba Gandomkar; Moayyad E. Suleiman; Delgermaa Demchig; Patrick C. Brennan; Mark F. McEntee
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Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability
Author(s): N. Kaiser; A. Fieselmann; S. Vesal; N. Ravikumar; L. Ritschl; S. Kappler; A. Maier
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Development of methods to evaluate probability of reviewer’s assessment bias in Blinded Independent Central Review (BICR) imaging studies
Author(s): J. Michael O'Connor; Manish Sharma; Anitha Singareddy
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Reader disagreement index: a better measure of overall review quality monitoring in an oncology trial compared to adjudication rate
Author(s): Manish Sharma; J. Michael O'Connor; Anitha Singareddy
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A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography
Author(s): Lucas R. Borges; Paulo M. de Azevedo Marques; Marcelo A. C. Vieira
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The relationship between breast screening readers’ real-life performance and their associated performance on the PERFORMS scheme (Conference Presentation)
Author(s): Leng Dong; Jacquie Jenkins; Eleanor Cornford; Yan Chen
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Blinding of the second reader in mammography screening: impact on behaviour and cancer detection
Author(s): Jennifer Anne Cooper; David Jenkinson; Sian Taylor-Phillips
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An observer study to assess the detection of calcification clusters using 2D mammography, digital breast tomosynthesis, and synthetic 2D imaging
Author(s): Alistair Mackenzie; Emma L. Thomson; Premkumar Elangovan; Chantal van Ongeval; Lesley Cockmartin; Lucy M. Warren; Rosalind M. Given-Wilson; Louise S. Wilkinson; Matthew G. Wallis; David R. Dance; Kenneth C. Young
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2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue model
Author(s): Christiana Balta; Ioannis Sechopoulos; Wouter J. H. Veldkamp; Ruben E. van Engen; Ingrid Reiser
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Changes in breast density
Author(s): L. M. Warren; M. D. Halling-Brown; L. S. Wilkinson; R. M. Given-Wilson; R. McAvinchey; M. G. Wallis; D. R. Dance; K. C. Young
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Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction
Author(s): Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Wei Qian; Yuchen Qiu; Bin Zheng
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Comparing senior residents performance to radiologists in lung cancer detection
Author(s): Badera Al Mohammad; Stephen L. Hillis; Warren Reed; Charbel Saade; Patrick C. Brennan
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Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers
Author(s): Qi Gong; Qin Li; Marios A. Gavrielides; Nicholas Petrick
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A case study regarding clinical performance evaluation method of medical device software for approval
Author(s): Koji Shimizu; Gakuto Aoyama; Mizuho Nishio; Masahiro Yakami; Takeshi Kubo; Yutaka Emoto; Tatsuya Ito; Tomohiro Kuroda; Hiroyoshi Isoda
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In-vitro and in-vivo comparison of radiation dose estimates between state-of-the-art interventional fluoroscopy systems
Author(s): L. Trunz; D. J. Eschelman; C. F. Gonsalves; R. Adamo; J. K. Dave
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Prostate Imaging Self-assessment and Mentoring (PRISM): a prototype self-assessment scheme
Author(s): Eleni Michalopoulou; Alastair Gale; Yan Chen
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Deep residual-network-based quality assessment for SD-OCT retinal images: preliminary study
Author(s): Min Zhang; Jia Yang Wang; Lei Zhang; Jun Feng; Yi Lv
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A statistical analysis of oral tagging in CT colonography and its impact on flat polyp detection and characterization
Author(s): Marc J. Pomeroy; Matthew A. Barish; Perry J. Pickhardt; Jie Yang; Zhengrong Liang
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Missed cancer and visual search of mammograms: what feature-based machine-learning can tell us that deep-convolution learning cannot
Author(s): Suneeta Mall; Elizabeth Krupinski; Claudia Mello-Thoms
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