In this repository, we present one of the used prototypes for our User Tests and Analysis 1 (UTA1) study. Work and results are published on a top Human-Computer Interaction (HCI) conference named ISS 2017 (page). We also have several demos to see in our YouTube Channel, please follow us.
We kindly ask scientific works and studies that make use of the repository to cite it in their associated publications. Similarly, we ask open-source and closed-source works that make use of the repository to warn us about this use.
You can cite our work using the following BibTeX entry:
@inproceedings{10.1145/3132272.3134111,
author = {Calisto, Francisco M. and Ferreira, Alfredo and Nascimento, Jacinto C. and Gon\c{c}alves, Daniel},
title = {Towards Touch-Based Medical Image Diagnosis Annotation},
year = {2017},
isbn = {9781450346917},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3132272.3134111},
doi = {10.1145/3132272.3134111},
abstract = {A fundamental step in medical diagnosis for patient follow-up relies on the ability of radiologists to perform a trusty diagnostic from acquired images. Basically, the diagnosis strongly depends on the visual inspection over the shape of the lesions. As datasets increase in size, such visual evaluation becomes harder. For this reason, it is crucial to introduce easy-to-use interfaces that help the radiologists to perform a reliable visual inspection and allow the efficient delineation of the lesions. We will explore the radiologist's receptivity to the current touch environment solution. The advantages of touch are threefold: (i) the time performance is superior regarding the traditional use, (ii) it has more intuitive control and, (iii) for less time, the user interface delivers more information per action, concerning annotations. From our studies, we conclude that the radiologists still exhibit a resistance to change from traditional to touch based interfaces in current clinical setups.},
booktitle = {Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces},
pages = {390–395},
numpages = {6},
keywords = {Human-Computer Interaction, Interaction Design, Medical Image Diagnosis, Medical Visualization, Touch-Based},
location = {Brighton, United Kingdom},
series = {ISS '17}
}
First of all, you will need NodeJS installed locally on your machine. This project needs both npm and http-server dependencies to install and run the core project. If you do not have those installed please follow the INSTALL instructions.
The following assumes you will be using a git version control for this repository, storing thanks to GitHub. First, Download and Install git. Our system needs to be integrated with WADO-URI servers, DICOMWeb servers or any HTTP based server that returns a DICOM P10 instances. We suggest you to use an Orthanc server, since it is a simple and powerful standalone DICOM server by providing a RESTful API.
You can download a latest version or you can use our own sample of an Orthanc version with our examples of patient images. The instructions to use our solution are as follows.
1.1.1. Clone the DICOM Server repository:
git clone git@github.com:MIMBCD-UI/dicom-server.git
1.1.2. Go inside the project folder:
cd dicom-server/
1.2.1. Install the local dependencies:
npm install
1.2.2. You can now Run the project, just follow the next section.
1.3.1. Inside the project folder:
cd dicom-server
1.3.2. Start the DICOM Server (Orthanc) for MacOS:
npm run start:single
OR
cd ..
cd dicom-server/orthancAndPluginsOSX.stable/
./startOrthanc.command
NOTE: If you are not using MacOS, for instance, if you are using Windows or Debian you have a documentation for that. Just follow the Windows or Debian documentations. You also have several other options.
1.3.3. Open the link:
localhost:8248
NOTE: If you need some help see the Demo.
Our main server uses NodeJS and has several dependencies. For the following steps you must have already installed both NodeJS and npm in your machine.
2.1.1. Clone the project repository:
git clone git@github.com:MIMBCD-UI/prototype-cornerstone-touch.git
2.1.2. Go inside the project folder:
cd prototype-cornerstone-touch/
Access-Control-Allow-Origin is a CORS (Cross-Origin Resource Sharing) header. If you want to know How does Access-Control-Allow-Origin header work? follow the link.
- To deal with the CORS issue it is necessary to open Google Chrome with
--disable-web-securityflag on:
open /Applications/Google\ Chrome.app --args --disable-web-security --user-data-dir
- Or install the CORS plugin for Google Chrome.
For more information about the MIMBCD-UI Project just follow the link. Pieces of information about details of this repository are also in a wiki. This prototype was developed using several libraries and dependencies. Despite that all libraries had their importance and supported the development, one of it was of chief importance. The CornerstoneJS library and secondary libraries, respectively, are supporting this prototype. We Acknowledge all people involved in the path.
The following list, represents the set of related repositories for the presented one:
Copyright © 2017 Instituto Superior Técnico (IST)
The prototype-cornerstone-touch repository is distributed under the terms of both Academic License and Commercial License, for academic and commercial purpose, respectively. For more information regarding the License of the hereby repository, just follow both ACADEMIC.md and COMMERCIAL.md files.
When source code, documentation and other content is contributed to one of our repositories, the copyrights in those contributions remain owned by the original copyright holders. The copyrights are not assigned to the organization itself. Instead, they are licensed for distribution as part of the project. Whether a project uses new incremental solutions, the original copyright holders retain their copyrights.
The content of the present repository has obtained the patent right of World Intellectual Property Organization (WIPO) invention. Moreover, the hereby invention of the prototype-cornerstone-touch repository is under protection of the patent number WO2022071818A1 with the application number PCT/PT2021/050029. The title of the invention is "Computational Method and System for Improved Identification of Breast Lesions", registered under the WO patent office.
This work was partially supported by national funds through FCT and IST through the UID/EEA/50009/2013 project, BL89/2017-IST-ID grant. We thank Dr. Clara Aleluia and her radiology team of HFF for valuable insights and helping using the Assistant on their daily basis. From IPO-Lisboa, we would like to thank the medical imaging teams of Dr. José Carlos Marques and Dr. José Venâncio. From IPO-Coimbra, we would like to thank the radiology department director and the all team of Dr. Idílio Gomes. Also, we would like to provide our acknowledgments to Dr. Emília Vieira and Dr. Cátia Pedro from Hospital Santa Maria. Furthermore, we want to thank all team from the radiology department of HB for participation. Last but not least, a great thanks to Dr. Cristina Ribeiro da Fonseca, who among others is giving us crucial information for the BreastScreening project.
A special thanks to Chris Hafey, the propelling person of CornerstoneJS, who also developed the cornerstoneDemo. Not forgetting the three supporters of the CornerstoneJS library, Aloïs Dreyfus, Danny Brown and Erik Ziegler. We also would like to give a special thanks to Erik Ziegler who support several issues during this path.
Our organization is a non-profit organization. However, we have many needs across our activity. From infrastructure to service needs, we need some time and contribution, as well as help, to support our team and projects.
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