LesionTracker: Extensible Open-Source Zero-Footprint Web Viewer for Cancer Imaging Research and Clinical Trials
Oncology clinical trials have become increasingly dependent upon image-based surrogate endpoints for determining patient eligibility and treatment efficacy. As therapeutics have evolved and multiplied in number, the tumor metrics criteria used to characterize therapeutic response have become progressively more varied and complex. The growing intricacies of image-based response evaluation, together with rising expectations for rapid…
Read MoreOpen Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research
Zero-footprint Web architecture enables imaging applications to be deployed on premise or in the cloud without requiring installation of custom software on the user’s computer. Benefits include decreased costs and information technology support requirements, as well as improved accessibility across sites. The Open Health Imaging Foundation (OHIF) Viewer is an extensible platform developed to leverage…
Read MoreNCI Imaging Data Commons
The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloud-based data science infrastructure. Imaging Data Commons (IDC) is a new component of CRDC supported by the Cancer Moonshot. The goal of IDC is to enable a broad spectrum of cancer researchers, with and without imaging expertise, to easily access…
Read MoreEnhancing the Open Health Imaging Foundation Web Medical Imaging Framework
The OHIF Viewer is an extensible web viewer framework for medical imaging. It offers a professionally-designed user interface that makes it easy to operate by end users, and provides basic image review functionality (e.g. image manipulation and measurement) as well as advanced visualization (e.g. multiplanar reformatting). It is written as a client-only, single-page web application…
Read MoreCZI Awards $16 Million for Foundational Open Source Software Tools Essential to Biomedicine
Today, the Chan Zuckerberg Initiative (CZI) announced $11.1 million in funding for open source software projects that are critical to biomedicine, and $4.9 million to initiatives advancing the participation, retention, and leadership progression of contributors from groups that are systemically underrepresented in scientific open source.
Read MoreIntegrating the OHIF Viewer into XNAT: Achievements, Challenges and Prospects for Quantitative Imaging Studies
XNAT is an informatics software platform to support imaging research, particularly in the context of large, multicentre studies of the type that are essential to validate quantitative imaging biomarkers. XNAT provides import, archiving, processing and secure distribution facilities for image and related study data. Until recently, however, modern data visualisation and annotation tools were lacking…
Read MoreCZI Awards $12 Million Through Its Essential Open Source Software for Science Program
Improving access to open source software tools is a cornerstone of our science work at the Chan Zuckerberg Initiative (CZI). These tools, which are built by scientific communities for scientific communities, can help accelerate the pace of scientific discovery by increasing collaboration and reproducibility.
Read MoreNew Amazon HealthLake capabilities enable next-generation imaging solutions and precision health analytics
At AWS, we have been investing in healthcare since Day 1 with customers including Moderna, Rush University Medical Center, and the NHS who have built breakthrough innovations in the cloud. From developing public health analytics hubs, to improving health equity and patient outcomes, to developing a COVID-19 vaccine in just 65 days, our customers are utilizing…
Read MoreIntroducing AWS HealthImaging — purpose-built for medical imaging at scale
We are excited to announce the general availability of AWS HealthImaging, a purpose-built service that helps builders develop cloud-native applications that store, analyze, and share medical imaging data at petabyte-scale. HealthImaging ingests data in the DICOM P10 format. It provides APIs for low-latency retrieval, and purpose-built storage.
Read More