MRI Lesion Segmentation in Multiple Sclerosis Database



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MRIFreeDataset.zip193.09MB
Type: Dataset
Tags:

Bibtex:
@article{,
title= {MRI Lesion Segmentation in Multiple Sclerosis Database},
keywords= {},
author= {},
abstract= {MRI MS DB Description:
In the IMT-Segmentation folder there are 38 folders representing data for each patient 38patients).
In each patient folder we have:
1) MRI TIFF Images from first and second examination (0 months, 6-12 months)
2) Lesion segmentations (*.plq files). The delineation/s can be loaded into matlab i.e load(file.plq, '-.mat'); Then points can be drawn on the image.

%How to load the point deliniations into MATLAB and plot them to the image.  
load('IM_00031_1.plq','-mat');
a=imread('IM_00031.tif');
figure, imshow(a), hold on, plot(yi,xi, 'LineWidth', 3), hold off;

Further download information for the database may be obtained by contacting Prof. Christos P. Loizou (panloicy@logosnet.cy.net).

![](https://i.imgur.com/K2JypfI.png)

## Citation request 

ï C.P. Loizou, V. Murray, M.S. Pattichis, I. Seimenis, M. Pantziaris, C.S. Pattichis, 
ìMulti-scale amplitude modulation-frequency modulation (AM-FM) texture analysis of multiple 
sclerosis in brain MRI images,î IEEE Trans. Inform. Tech. Biomed., vol. 15, no. 1, pp. 119-129, 2011.   
ï C.P. Loizou, E.C. Kyriacou, I. Seimenis, M. Pantziaris, S. Petroudi, M. Karaolis, C.S. Pattichis, 
ìBrain white matter lesion classification in multiple sclerosis subjects for the prognosis of future disability,î 
Intelligent Decision Technologies Journal (IDT), vol. 7, pp. 3-10, 2013.
ï C.P. Loizou, M. Pantziaris, C.S. Pattichis, I. Seimenis, 
ìBrain MRI Image normalization in texture analysis of multiple sclerosisî, 
J. Biomed. Graph. & Comput., vol. 3, no.1, pp. 20-34, 2013. 
ï C.P. Loizou, S. Petroudi, I. Seimenis, M. Pantziaris, C.S. Pattichis, Quantitative texture analysis of brain 
white matter lesions derived from T2-weighted MR images in MS patients with clinically isolated syndromeî, J. Neuroradiol., 
acepted. },
terms= {},
license= {},
superseded= {},
url= {}
}