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Radiology and Pathology challenges for brain tumor imaging at MICCAI 2014
MICCAI 2014 held a day-long cluster of event in brain tumor computation including challenges for brain tumor classification and segmentation. The challenge consisted of radiology as well as pathology images. A majority of the images in the training data were from TCIA. Infrastructure support for the radiology portion of the challenges was provided by Bern University and the Virtual Skeleton Database system. The PAIS system support was provided by Stony Brook University for the pathology imaging.
There were 3 sub-challenges within the radiology challenge. The primary goal of the radiology challenge was to perform segmentation from multimodal MRI of brain tumors. T1 (pre and post constrast), T2 and FLAIR MRI images were preprocessed (registered and resampled to 1mm isotropic) by the organizers and made available. Ground truth in the form of label maps (4 color –enhancing, necrosis, non-enhancing tumor and edema) were also provided for the training images in .mha format. Additional sub-tasks included longitudinal evaluation of the segmentations for patients who had imaging from multiple time points. Finally, the third subtask was to classify the tumors into one of the three classes (Low Grade II, Low Grade III, and High Grade IV glioblastoma multiforme (GBM)). However, sub-tasks 2 and 3 were primarily pushed out to future years.
Figure 1 Label maps for the different sub-regions of the tumor used for the BraTS challenge. Manual annotation is performed by expert raters: the whole tumor visible in FLAIR (A), the tumor core visible in T2 (B), the enhancing active tumor visible in T1c (blue), surrounding the cystic/necrotic components of the core (green) (C). The segmentations are combined to generate the final labels (D): edema (yellow), non-enhancing solid core (red), active core (blue), non-solid core (green).
Pathology challenge also had classification and segmentation sub-tasks. The goal for the classification challenge was to classify the image into high grade and low-grade glioma while the goals for the segmentation challenge was to identify areas of necrosis.
The MICCAI-BraTS challenge highlighted a number of findings that mirrored experiences from other domains. These
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