Learning objectives
Through this electronic presentation,you willlearn how to useMatLab.
Followingthis work,
you will beable to performsimple mathematical operations,to openaDICOMimage,
display it,store it inworking memory,perform operationson the imageand save your workin the correct format.
Background
I have noconflict of interest withthe companyMatLab.
MatLabis acontractionof the wordsMatrixLaboratory.It is asimple programming language,
notcompilable,
fast anduniversal.Itis cross platform(Mac,PC,
Linux) and there is alarge communityof userswho use it andsupport it through worldwide.
There aremanyonline referencesas well asuser forums.Thehelping documentation included inthe software is oftenenoughasit is detailed andfull of examples.We will explain how to access it.
Learning MatLab isfaster thanother programming languagessuch as C++orJAVA.
Becauseremember thatradiologistsarenotprogrammers !
Bewarethe MatLablanguage works only onthe non free softwareprovided by MatLab (http://www.mathworks.com).
Afterinstalling the software open it.
The top...
Imaging findings OR Procedure details
Starting with MatLab
Lets start with the basics of the basics i.e.
make an addition.Nothing could be simpler.We must consider that MatLab is a great calculator.In the command window,
we will ask to solve 36 + 44 (I know you've found the answer!).
You just have to type 36 + 44 in the command window and then "enter".The following should appear:
>> 36 + 44
ans =
80
You can also subtract,
multiply or divide.
Few observations at this level.MatLab is an english syntax based...
Conclusion
Of course this work is not exhaustive on the use of MatLab in research in medical imaging.
The goal is that after reading this poster you know to open a medical image,
make simple changes and save your results.
It is possible to carry out operations of segmentation,
registration,
image fusion,
3D display,
work on dynamic data and even tractography.
It is advisable to be familiar with the basics before moving on to more complex functions.
Finally,
we conclude by adding that number of authors...
References
http://www.mathworks.com
Le Bihan D,
Breton E,
Lallemand D,
Grenier P,
Cabanis E,
Laval-Jeantet M.MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.
Radiology.
1986 Nov;161(2):401-7.