Results 101 to 110 of about 30,004 (256)

Update on new technologies in digital mammography

International Journal of Women's Health, 2014
Stephanie K Patterson, Marilyn A Roubidoux Division of Breast Imaging, Department of Radiology, University of Michigan Health System, Ann Arbor, MI, USA Abstract: Despite controversy regarding mammography's efficacy, it continues to be the most ...
Patterson SK, Roubidoux MA
doaj  

Breast imaging surveillance after curative treatment for primary non-metastasised breast cancer in non-high-risk women: a systematic review

Insights into Imaging, 2018
Objectives The article summarises the available guidelines on breast imaging surveillance after curative treatment for locoregional breast cancer. Methods A systematic review of practice guidelines published from 1 January 2007 to 1 January 2017 was ...
Jeroen Swinnen, Machteld Keupers, Julie Soens, Matthias Lavens, Sandra Postema, Chantal Van Ongeval   +5 more
doaj   +1 more source

A framework for simulation of temporal evolution and longitudinal studies of breast anatomy in radiology

Medical Physics, Volume 52, Issue 12, December 2025.
Abstract Background Virtual imaging trials (VITs) are in silico studies that simulate medical imaging and disease processes, offering a cost‐effective and reproducible addition to traditional imaging trials. While VITs are well established in breast imaging, most existing implementations simulate imaging based on static anatomical models, capturing ...
Hanna Tomic, Jakob Olinder, John‐Henry Markbo, Pontus Timberg, Sophia Zackrisson, Anders Tingberg, Magnus Dustler, Predrag R. Bakic   +7 more
wiley   +1 more source

Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks

Insights into Imaging, 2023
Objectives The aim of this study was to develop and validate a commercially available AI platform for the automatic determination of image quality in mammography and tomosynthesis considering a standardized set of features.
Patryk Hejduk, Raphael Sexauer, Carlotta Ruppert, Karol Borkowski, Jan Unkelbach, Noemi Schmidt   +5 more
doaj   +1 more source

AAPM MEDICAL PHYSICS PRACTICE GUIDELINE 10.b: Scope of practice for clinical medical physics

Journal of Applied Clinical Medical Physics, Volume 26, Issue 11, November 2025.
Abstract The American Association of Physicists in Medicine (AAPM) is a nonprofit professional society whose mission is “Advancing medicine through excellence in the science, education and professional practice of medical physics.” The AAPM has roughly 10,000 members and is the principal organization of medical physicists in the United States. The AAPM
Seng Boh Lim, Nathan Busse, Jessica Clements, Steve Howard, Megan A. Hyun, Daniel G. McDonald, Daniel C. Pavord, Jussi K. Sillanpaa, Russell B. Tarver   +8 more
wiley   +1 more source

Gist processing in digital breast tomosynthesis

Journal of Medical Imaging, 2019
Evans et al. (2016) showed that radiologists can classify the mammograms as normal or abnormal at above-chance levels after a 250-ms exposure. Our study documents a similar gist signal in digital breast tomosynthesis (DBT) images. DBT is a relatively new technology that creates a three-dimensional image set of slices through the volume of the breast ...
Chia-Chien, Wu, Nicholas M, D'Ardenne, Robert M, Nishikawa, Jeremy M, Wolfe   +3 more
openaire   +3 more sources

Consistent performance between medical experts and non‐expert readers in forced‐choice lesion‐detection tasks with PET images

Medical Physics, Volume 52, Issue 11, November 2025.
Abstract Background Labeled data are used to train, validate, and test deep learning model observers (DLMOs) as well as linear model observers, such as channelized Hotelling observers (CHOs), for image quality assessment in many imaging modalities, including PET imaging. Ideally, these annotations would come from clinical readers, but these readers are
Craig K. Abbey, Sangtae Ahn, Muhan Shao, Darrin W. Byrd, Kristen A. Wangerin, Scott D. Wollenweber, Sanaz Behnia, Jean H. Lee, Amir Iravani, Murat Sadic, Delphine L. Chen, Paul E. Kinahan   +11 more
wiley   +1 more source

Derivation of an observer model adapted to irregular signals based on convolution channels. [PDF]

, 2015
Anthropomorphic model observers are mathe- matical algorithms which are applied to images with the ultimate goal of predicting human signal detection and classification accuracy across varieties of backgrounds, image acquisitions and display conditions ...
Abbey, C., Bochud, F., Castella, C., Diaz, I., Eckstein, M., Timberg, P., Verdun, F.   +6 more
core   +1 more source

Comparison of Dance and AAPM/EFOMP TG282 breast dosimetry methodologies for a screening population: Evaluation of model‐based median breast density metrics

Journal of Applied Clinical Medical Physics, Volume 26, Issue 10, October 2025.
Abstract Background Accurate mean glandular dose (MGD) estimation is important in breast cancer screening programs to balance diagnostic benefit with radiation risk. Purpose This study aimed to compare the performance of the Dance and AAPM/EFOMP Task Group 282 (TG282) breast dosimetry methodologies using model versus image‐derived breast density ...
Ioannis Delakis
wiley   +1 more source

Analysis of variation coefficient of SNR in phantom-based mammography quality control [PDF]

Zhongguo aizheng zazhi
Background and purpose: In the quality control of mammography, the signal-to-noise ratio (SNR) refers to the ratio of the useful signal intensity to the background noise in the image, which is one of the important indicators for measuring the quality of ...
SHEN Xigang, CHAI Qinghuan, JIANG Tingting, SHEN Yue, XIAO Qin, GU Yajia
doaj   +1 more source