Article
Multidisciplinary Sciences
Chris Gorman, Davide Punzo, Igor Octaviano, Steven Pieper, William J. R. Longabaugh, David A. Clunie, Ron Kikinis, Andrey Y. Fedorov, Markus D. Herrmann
Summary: The article introduces Slim, an open-source, web-based slide microscopy viewer that implements the DICOM standard to achieve interoperability. It showcases Slim as the viewer for the NCI Imaging Data Commons and demonstrates its capabilities in interactive visualization of different types of microscopy images using standard DICOMweb services. The article also highlights Slim's ability to collect standardized image annotations for machine learning models and interpret model inference results.
NATURE COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Noelia Vallez, Jose Luis Espinosa-Aranda, Anibal Pedraza, Oscar Deniz, Gloria Bueno
Summary: Microscopy scanners and AI techniques have advanced biomedicine, but challenges arise from the variety of digital file formats used. DICOM stands out as a standard that transcends internal image formats, but its clinical use is limited. This paper presents the first web viewer system that integrates WSI DICOM images and AI models, aiming to bridge the gap and improve CAD WSI processing tasks.
APPLIED SCIENCES-BASEL
(2023)
Review
Computer Science, Information Systems
Bin Zhang, Bahbibi Rahmatullah, Shir Li Wang, A. A. Zaidan, B. B. Zaidan, Penghui Liu
Summary: With the rapid increase in medical image data, protecting patient privacy through medical image confidentiality technology has become increasingly important. However, a systematic literature review on medical image confidentiality technology is currently lacking. This study reviews the research results of the past five years and categorizes the field into five categories: medical image confidentiality algorithms, medical image confidentiality considering multiple security requirements, combination of medical image encryption and image compression technologies, hardware-related medical image confidentiality design, and medical image security systems design.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Daniel Lafontaine, C. Ross Schmidtlein, Assen Kirov, Ryan P. Reddy, Simone Krebs, Heiko Schoder, John L. Humm
Summary: The TriDFusion image viewer (3DF) is an open-source medical viewing platform that addresses unmet needs in nuclear medicine research. It provides a range of tools not available in commercial workstations, allowing for multi-modality image analysis and fusion.
Article
Radiology, Nuclear Medicine & Medical Imaging
Steven Nichols, Bruno Laffin, Charles Parisot
Summary: Alignment of DICOM capabilities among vendors is crucial for improving interoperability in the healthcare industry. To address the lack of a sustainable model for sharing DICOM samples, IHE has introduced the IHE SHARAZONE, a continuous cross-vendor DICOM data sharing test service.
JOURNAL OF DIGITAL IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tseng-Tse Chen, Ying-Chou Sun, Woei-Chyn Chu, Chung-Yueh Lien
Summary: Recently, WebGL has been widely used in web-based medical image viewers to visualize advanced imaging. However, the computation time and memory consumption challenges in medical imaging limit the use of advanced image renderings on low-cost mobile devices. In this study, a client-side rendering low-cost computation algorithm using pure JavaScript was proposed to address this issue. The algorithm reduced computation time and memory consumption by utilizing cascading style sheet transform and DICOM-related imaging. Experimental results demonstrated significant reduction in central and graphics processing unit consumption on various web browsers. The proposed algorithm was implemented in an open-source web-based DICOM viewer with satisfactory rendering performance and the ability to connect to image archive via DICOMweb.
JOURNAL OF DIGITAL IMAGING
(2023)
Article
Engineering, Biomedical
Ibrahim I. Suliman
Summary: This study proposes a method for determining entrance surface air kerma (ESAK) using the kerma area product (P-KA) in digital radiology. The method derives ESAK values from X-ray tube outputs and patient exposure factors, and determines slope and intercept coefficients for each X-ray equipment and procedure through linear regression. Results show a significant correlation between ESAK and P-KA values, which can assist with quality assurance and patient dose management in digital radiology.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Daniel J. Blezek, Lonny Olson-Williams, Andrew Missert, Pangiotis Korfiatis
Summary: Machine learning and artificial intelligence algorithms show promise in medical imaging, but integration into radiology departments is challenging. A general integration system is needed to enable quick deployment and feedback mechanisms for correcting results, rather than one-off solutions from AI researchers.
JOURNAL OF DIGITAL IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Stephen M. Moore, James D. Quirk, Andrew W. Lassiter, Richard Laforest, Gregory D. Ayers, Cristian T. Badea, Andriy Y. Fedorov, Paul E. Kinahan, Matthew Holbrook, Peder E. Z. Larson, Renuka Sriram, Thomas L. Chenevert, Dariya Malyarenko, John Kurhanewicz, A. McGarry Houghton, Brian D. Ross, Stephen Pickup, James C. Gee, Rong Zhou, Seth T. Gammon, Henry Charles Manning, Raheleh Roudi, Heike E. Daldrup-Link, Michael T. Lewis, Daniel L. Rubin, Thomas E. Yankeelov, Kooresh I. Shoghi
Summary: Preclinical imaging is critical for translational research in cancer, but there are complexities and regional differences. The NCI emphasizes the use of oncology models to study the biological and molecular basis of cancer prevention and treatment. To address the issues, the NCI conducted a survey and summarized the metadata requirements for reproducible quantitative co-clinical imaging to support translational imaging research.
Article
Engineering, Biomedical
Richard Beare, Bonnie Alexander, Aaron Warren, Michael Kean, Marc Seal, Alison Wray, Wirginia Maixner, Joseph Yuan-Mou Yang
Summary: This article introduces Karawun, a file format conversion tool that facilitates the translation of advances in diffusion imaging acquisition and analysis into neurosurgical practice. By using DICOM standards, Karawun allows clinicians to explore and interact with the results of research neuroimaging pipelines using their familiar tools, thus promoting the application of advanced analysis techniques in clinical practice.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2023)
Article
Health Care Sciences & Services
Robert Kaczmarczyk, Felix King, Tilo Biedermann, Alexander Zink
Summary: The focus of the 2019 German-speaking dermatology community meeting was on patient and therapy-centered research, especially on diseases such as psoriasis and melanoma. The research topics showed high diversity, and the research network was well-connected.
Article
Computer Science, Software Engineering
David Mata-Mendoza, Manuel Cedillo-Hernandez, Francisco Garcia-Ugalde, Antonio Cedillo-Hernandez, Mariko Nakano-Miyatake, Hector Perez-Meana
Summary: Medical information management has advanced with the ability to share medical images among specialists using digital watermarking to embed metadata. A hybrid and robust watermarking technique is proposed in this paper to prevent detachment and authenticate medical images.
Article
Health Care Sciences & Services
Zhoule Zhu, Yuqi Ying, Junming Zhu, Hemmings Wu
Summary: Researchers have found that ChatGPT can effectively compose clinic letters, showcasing its accurate and empathetic communication abilities. This study demonstrates the potential use of ChatGPT as a medical assistant in Mandarin Chinese-speaking outpatient clinics, aiming to enhance patient satisfaction in busy settings. While achieving high scores in the Chinese Medical Licensing Examination, ChatGPT also shows promise for clinical communication in non-English speaking environments. However, further optimization and rigorous testing are needed before widespread implementation.
Article
Pediatrics
Akhil Dhamija, Jay A. Moskovitz, Jennifer Regan, Laurie A. Perry, David Hulefeld, Eric Schwieterman, Sarah O'Brien, Timothy J. OConnor, Alexander J. Towbin
Summary: This manuscript describes the planning and implementation of a disaster drill where the departmental PACS was taken offline and the hospital enterprise viewer was used for image interpretation. Through this drill, the impact of downtime on patient care and end-user confidence can be understood.
PEDIATRIC RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Marten Veldmann, Philipp Ehses, Kelvin Chow, Jon-Fredrik Nielsen, Maxim Zaitsev, Tony Stoecker
Summary: This study presents an end-to-end open-source MR imaging workflow that is highly flexible and integrates vendor-independent tools. The workflow allows rapid prototyping across the whole imaging process and can be executed on different MR platforms. It also enables the generation of simulated data using the same sequence as the MRI scanner and the same pipeline for image reconstruction. The results demonstrate the flexibility of the workflow in different imaging scenarios, and all sequences, data, and processing pipelines are publicly available.
MAGNETIC RESONANCE IN MEDICINE
(2022)
