Difference between revisions of "OpenIGTLink/Matlab"
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− | = | + | =About the project= |
The objective of this project is to provide OpenIGTLink interface for [http://www.mathworks.com/ Matlab] / [http://www.gnu.org/software/octave/ Octave] to support research and development in image guided therapy (IGT). Matlab and Octave are widely used for prototyping image and signal processing algorithms. They also offers many powerful function set to handle matrix and coordinate data, which is useful to test and analyze coordinate data exported from tracking and robotic devices. | The objective of this project is to provide OpenIGTLink interface for [http://www.mathworks.com/ Matlab] / [http://www.gnu.org/software/octave/ Octave] to support research and development in image guided therapy (IGT). Matlab and Octave are widely used for prototyping image and signal processing algorithms. They also offers many powerful function set to handle matrix and coordinate data, which is useful to test and analyze coordinate data exported from tracking and robotic devices. | ||
The OpenIGTLink interface for Matlab / Octave allows importing and exporting several types of data that can be handled in the OpenIGTLink protocol in Matlab / Octave environment. It provides a rapid prototyping environment, which many researchers and engineers are already familiar with. | The OpenIGTLink interface for Matlab / Octave allows importing and exporting several types of data that can be handled in the OpenIGTLink protocol in Matlab / Octave environment. It provides a rapid prototyping environment, which many researchers and engineers are already familiar with. | ||
+ | |||
+ | =How does it work?= | ||
+ | The OpenIGTLink Matlab interface is implemented as a set of MEX Files, which are C/C++ source codes called from Matlab. Those MEX files simply receives data from Matlab, connect to OpenIGTLink receiver, serialize the data in appropriate format using the OpenIGTLink Library, and send it to the receiver. | ||
+ | |||
+ | =How does it look like?= | ||
+ | The following example Matlab code is sending image data to the receiver waiting at port #18944 in the localhost. | ||
+ | |||
+ | %%% read image data | ||
+ | fid = fopen('igtlTestImage1.raw', 'r'); | ||
+ | I = fread(fid, [256 256], 'uint8')'; | ||
+ | fclose(fid); | ||
+ | |||
+ | %%% affine transform matrix | ||
+ | M = [1.0, 0.0, 0.0, 0.0; | ||
+ | 0.0,-1.0, 0.0, 0.0; | ||
+ | 0.0, 0.0, 1.0, 0.0; | ||
+ | 0.0, 0.0, 0.0, 1.0]; | ||
+ | |||
+ | sd = igtlopen('localhost', 18944); | ||
+ | r = igtlsend(sd, 'MatlabImage', I, M); | ||
+ | igtlclose(sd); |
Revision as of 13:58, 14 August 2008
Home < OpenIGTLink < MatlabAbout the project
The objective of this project is to provide OpenIGTLink interface for Matlab / Octave to support research and development in image guided therapy (IGT). Matlab and Octave are widely used for prototyping image and signal processing algorithms. They also offers many powerful function set to handle matrix and coordinate data, which is useful to test and analyze coordinate data exported from tracking and robotic devices. The OpenIGTLink interface for Matlab / Octave allows importing and exporting several types of data that can be handled in the OpenIGTLink protocol in Matlab / Octave environment. It provides a rapid prototyping environment, which many researchers and engineers are already familiar with.
How does it work?
The OpenIGTLink Matlab interface is implemented as a set of MEX Files, which are C/C++ source codes called from Matlab. Those MEX files simply receives data from Matlab, connect to OpenIGTLink receiver, serialize the data in appropriate format using the OpenIGTLink Library, and send it to the receiver.
How does it look like?
The following example Matlab code is sending image data to the receiver waiting at port #18944 in the localhost.
%%% read image data fid = fopen('igtlTestImage1.raw', 'r'); I = fread(fid, [256 256], 'uint8')'; fclose(fid); %%% affine transform matrix M = [1.0, 0.0, 0.0, 0.0; 0.0,-1.0, 0.0, 0.0; 0.0, 0.0, 1.0, 0.0; 0.0, 0.0, 0.0, 1.0]; sd = igtlopen('localhost', 18944); r = igtlsend(sd, 'MatlabImage', I, M); igtlclose(sd);