In medical systems, especially radiology, the most common work is to film, including X-rays, MRI, CT scans, and so on. However, using and viewing these films is expensive. Printed film and not to mention, expensive workstations and proprietary software, even when viewed on a computer, costs $20 million a year, according to a California hospital, and an average of $1 per film.
These video software is often produced by big companies such as Philips and Samsung, which many poor countries cannot afford.
In addition, the film’s digital files are generally shared only in a hospital’s information system. If a patient is to be transferred to a hospital, these digital files are generally copied on CD-ROM, inefficient and prone to torture. In case the software and file format are not the same, the trouble is even greater.
The global pandemic of COVID-19 is also driving telemedicine collaboration and universal access to medical software.
OHIF Foundation Launches Open Source Reader
The Open Health Imaging Foundation (OHIF) recently released its latest open source project, OHIF Medical Imaging Viewer, which allows doctors to be web-based The browser views medical images and is open source for GitHub, which currently has 940 stars and 669 forks. 
Lei Feng Net-a-Porter: Picture: ohif.org Owner: OHIF
The project is currently led by Dr. Gordon J. Harris, professor of radiology at Harvard Medical School, director of 3D imaging services, and director of the Radiological Computer-Assisted Diagnostics Laboratory at Massachusetts General Hospital.
Dr. Harris has published more than 100 scientific papers and developed software and services that apply computer analysis of medical images to diagnostics, treatment programs, and clinical trials. His main research interests include structural and functional brain imaging studies of mental and neurological disorders, including alcoholism and stroke, as well as quantitative tracking of tumors for clinical care and clinical trials.
The open source project is funded primarily from the National Institutes of Health, the National Cancer Institute, and the Cancer Research Information Technology Program (ITCR).
The current funding, which can be used in August to fund two full-time developers, has also been applied for a five-year funding renewal.
The specific development work is done by a Boston-based company called Radical Imaging. On GitHub, Danny Brown, the company’s senior developer, contributed the main code.
What can a reader do?
OhIF Viewer, a reader that retrieves and loads images from most sources and formats, renders in 2D or 3D, allows for manipulation, annotation, and serialization of observations, internationalization, OpenID, offline use, hotkeys and more.
The format of these data files follows the DICOM standard, one of the most widely deployed healthcare information standards in the world. Hundreds of millions of DICOM images are currently used for clinical treatment.
Simply put, DICOM divides the information into a data set. In a chest X-ray file, it also contains information such as the patient’s ID, which is equivalent to the image being tagged and described. It can also be an image of a Doveview frame, along with its own grayscale display standard, which ensures that the same grayscale image is displayed on different displays.
Reader demos and detailed deployment documentation are available on GitHub. You can view it directly, or you can use a few include tags to easily embed a reader into any web page or Web program and connect to a data source. Available on any platform, including desktops, laptops, tablets, mobile devices, and even Raspberry Pi.
The benefits of open source
The benefits of open source are also obvious, as they significantly reduce costs while facilitating collaboration.
The previous image analysis platform was workstation-based and required installation and updates on each computer, with high hospital deployment costs. Adapting image analysis to a web-based open source platform will help promote wider use in hospitals.
The platform also enables researchers, image software developers, clinicians, and patients to access clinical trial images in a freely available and publicly scalable environment, which will facilitate remote image viewing and collaborative image consultation among a wide range of physicians.
Open standards and readers are also conveniently combined with hospital information systems, including electronic medical records (EHR) and hospital information systems (HIS). Hosipal Run, for example, is an open-source hospital information system that can be deployed in clinics in the most remote areas of the earth.
In addition, a large amount of medical imaging data has facilitated cloud-based medical APIs and storage, such as Google’s dedicated Google Cloud Healthcare API service. This is different from the traditional medical image archiving system (PACS) to facilitate medical imaging big data in the future more combined with the power of artificial intelligence.
Comments on netizens
‘I love the idea so much, I’m a paramedic, and it’s really boring to take out an image DISC to transfer from one hospital to another,’ commented netizen shpidoodle. The doctor will have to wait for the disc to be uploaded to the system. Anywhere that goes wrong, the patient needs to be checked again.
‘Five years ago, I did something like that with ebrain.js and i have some idea of the principle, ‘ says the user codeVerine. I hope to be able to contribute my self.