view README.md @ 1500:6e832ff72a5e

improved Orthanc::Logging::Initialize()
author Sebastien Jodogne <s.jodogne@gmail.com>
date Tue, 30 Jun 2020 10:29:10 +0200
parents c53a4667f895
children 0cbc85e0c583
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Stone of Orthanc
================

General Information
-------------------

This repository contains the source code of the Stone of Orthanc.

Stone of Orthanc is a lightweight, cross-platform C++ framework for
the CPU-based rendering of medical images. It notably features support
for MPR (multiplanar reconstruction of volume images), PET-CT fusion,
and accurate physical world coordinates.

Stone of Orthanc comes bundled with its own software-based rendering
engine (based upon pixman). This engine will use CPU hardware
acceleration if available (notably SSE2, SSSE3, and NEON instruction
sets), but not the GPU. This makes Stone a highly versatile framework
that can run even on low-performance platforms. Note that Stone is
able to display DICOM series without having to entirely store them in
the RAM (i.e. frame by frame).

Thanks to its standalone rendering engine, Stone of Orthanc is also
compatible with any GUI framework (such as Qt, wxWidgets, MFC...). The
provided sample applications use the SDL framework.

Stone is conceived as a companion toolbox to the Orthanc VNA (vendor
neutral archive, i.e. DICOM server). As a consequence, Stone will
smoothly interface with Orthanc out of the box. Interestingly, Stone
does not contain any DICOM toolkit: It entirely relies on the REST API
of Orthanc to parse/decode DICOM images. However, thanks to the
object-oriented architecture of Stone, it is possible to avoid this
dependency upon Orthanc, e.g. to download DICOM datasets using
DICOMweb.


Comparison
----------

Pay attention to the fact that Stone of Orthanc is a toolkit, and not
a fully-featured application for the visualization of medical images
(such as Horos/OsiriX or Ginkgo CADx). However, such applications
can be built on the top of Stone of Orthanc.

Stone of Orthanc is quite similar to two other well-known toolkits:

* Cornerstone, a client-side JavaScript toolkit to display medical
  images in Web browsers, by Chris Hafey <chafey@gmail.com>:
  https://github.com/chafey/cornerstone

  Contrarily to Cornerstone, Stone of Orthanc can be embedded into
  native, heavyweight applications.

* VTK, a C++ toolkit for scientific visualization, by Kitware:
  http://www.vtk.org/

  Contrarily to VTK, Stone of Orthanc is focused on CPU-based, 2D
  rendering: The GPU will not be used.


Dependencies
------------

Stone of Orthanc is based upon the following projects:

* Orthanc, a lightweight Vendor Neutral Archive (DICOM server):
  http://www.orthanc-server.com/

* Cairo and pixman, a cross-platform 2D graphics library:
  https://www.cairographics.org/

* Optionally, SDL, a cross-platform multimedia library:
  https://www.libsdl.org/

Prerequisites to compile natively on Ubuntu: 
```
sudo apt-get install -y libcairo-dev libpixman-1-dev libsdl2-dev
```

The emscripten SDK is required for the WASM build. Please install it
in `~/apps/emsdk`. If you wish to use it in another way, please edit
the `build-wasm.sh` file.

ninja (`sudo apt-get install -y ninja-build`) is used instead of make, for performance reasons.

Installation and usage ----------------------

Build instructions are similar to that of Orthanc:
http://book.orthanc-server.com/faq/compiling.html

Usage details are available as part of the Orthanc Book:
http://book.orthanc-server.com/developers/stone.html

Stone of Orthanc comes with several sample applications in the
`Samples` folder.

Please see the Samples/README.md file for information on the samples building
and running procedure.


Licensing
---------

Stone of Orthanc is licensed under the AGPL license.

We also kindly ask scientific works and clinical studies that make
use of Orthanc to cite Orthanc in their associated publications.
Similarly, we ask open-source and closed-source products that make
use of Orthanc to warn us about this use. You can cite our work
using the following BibTeX entry:

@Article{Jodogne2018,
  author="Jodogne, S{\'e}bastien",
  title="The {O}rthanc Ecosystem for Medical Imaging",
  journal="Journal of Digital Imaging",
  year="2018",
  month="Jun",
  day="01",
  volume="31",
  number="3",
  pages="341--352",
  issn="1618-727X",
  doi="10.1007/s10278-018-0082-y",
  url="https://doi.org/10.1007/s10278-018-0082-y"
}