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| Info hash | e08155e5022d688fea00319bd2ead4f0f703f5bb |
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| Added | 2018-04-08 21:39:29 |
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| ID | 3875 |
| Type | single |
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| Uploaded by |  joecohen |
| Filename | MRIFreeDataset.zip |
| Mirrors | 9 complete, 0 downloading = 9 mirror(s) total [Log in to see full list] |
 MRIFreeDataset.zip |
193.09MB |
Type: Dataset
Tags:
Bibtex:
Tags:
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).
## Citation request
1. 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.
2. 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.
3. 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.
4. 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.
URL: http://www.medinfo.cs.ucy.ac.cy/doc/Publications/Datasets/
License: No license specified, the work may be protected by copyright.
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:
- MRI TIFF Images from first and second examination (0 months, 6-12 months)
- 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).
Citation request
- 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.
- 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.
- 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.
- 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.
URL: http://www.medinfo.cs.ucy.ac.cy/doc/Publications/Datasets/
License: No license specified, the work may be protected by copyright.
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).
## Citation request
1. 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.
2. 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.
3. 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.
4. 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= {http://www.medinfo.cs.ucy.ac.cy/doc/Publications/Datasets/}
}
