NCIP created in 2013 as a part of CBIIT.
Imaging Informatics Working Group created across NCI. Explore needs for research in in vivo, pathology, and omics. Radio-patho genomics for omics.
Need to generate proper therapy for a patient. Look at in vivo imaging, radiology and pathology, run a gene panel to look for abnormal. Look at co-clinical trials (model of a tumor in a mouse that is similar to a human. Experiment therapies on mice.) Run an integrative query to develop a sophisticated diagnosis. Search big data.
Informatics have to let us communicate. Need to be able to compare the data between the omics.
Visual pathology integrative queries–Ashish at Emory. Imaging consistent with ground truth.
Three pilot challenges–pathology, radiology, co-clinical.
Medical Image Computational and computer-assisted Intervention: MICCAI
Interventions in tumors, cardiology, etc that are image-based
Mass General will guide the pilots
Ground truth: find the compatibility of the informatics that we need to run pilots. Take images out of TCIA, CGA, clinical data and compare them.
Put together a primer, examples of data, use cases, how to carry out an integrative query, so that it is understandable.
Jasharee doing MICCAI Challenge in Munich. Segmentation of nuclear imaging in pathology. Combined radiology and pathology classification.
Want to be able to say that these informatics allow us to compare the pathology, rad, co-clinical findings.
Document the approach, technology, application to do a MICCAI challenge the way Jaysharee does it. See their order of march.
Ashish has the conceptual approach for an integrative query system. Learn his order of march.
Challenge Management System
Description
Integrative Query System
What the data is used for
