Cardiac MRI dataset
This webpage contains a dataset of short axis cardiac MR images and the
ground truth of their left ventricles' endocardial and epicardial segmentations.
The dataset was first compiled and used as part of the following paper:
Alexander Andreopoulos, John K. Tsotsos, Efficient and Generalizable Statistical Models
of Shape and Appearance for Analysis of Cardiac MRI, Medical Image
Analysis, Volume 12, Issue 3, June 2008, Pages 335-357. PDF
Use is free of charge; We respectfully ask that if you use this dataset,
you cite the above paper as its source.
The authors would like to acknowledge Dr. Paul Babyn,
and Dr. Shi-Joon Yoo, Cardiac Radiologist, of the Hospital for Sick
Children, Toronto, for the data sets and their assistance with this
Disclaimer: The dataset is provided for research purposes only and
there are no warranties provided nor liabilities assumed by York
University nor the researchers involved in the production of the dataset.
Cardiac MR images acquired from 33 subjects.
Each subject's sequence consists of 20 frames and 8-15 slices along the long
axis, for a total of 7980 images. The sequence corresponding to each subject x is in
a distinct .mat (MATLAB) file named sol_yxzt_patx.mat. These are
the raw, unprocessed
images, that were originally stored as 16-bit DICOM images. DOWNLOAD
Segmentations of the above sequences. We have manually segmented each
of the 7980 images where both the endocardium and epicardium of the left
ventricle were visible, for a total of 5011 segmented MR images and 10022 contours.
The segmentation corresponding to each subject x is in a distinct
.mat (MATLAB) file named manual_seg_32points_patx.mat. Each contour
is described by 32 points given in pixel coordinates. DOWNLOAD
Two small MATLAB functions for visualizing the segmentations on their corresponding
images. Please see the included README file for examples of their use. DOWNLOAD
Metadata containing the pixel-spacing (mm per pixel), the spacing
slices along the long axis (mm per slice) of each subject's sequence, each
age and diagnosis. DOWNLOAD