LIDC -- Lung Image Database Resource For Imaging Research
This application is in response to a specific request to establish a generalized CT derived database representing ground truth in lung cancer and is not hypothesis driven. Our broad goal is to help in the building of this database, and through that effort assist with the methodical development of appropriate lung cancer screening tools and protocols. Our group, with recognised experience in cooperative national projects, and with a broad perspective, will provide for the consortium:
→ a well characterized group of study subjects with lung cancer
→ expertise in the development of CT imaging protocols.
→ a functional electronic transfer system for CT data sets from multiple sites
→ methods for temporal matching of CT data points across time and to histopathological data.
→ expertise in computational morphology, (i.e. the mathematical description of complex structures, their visualization, and their derived CT images).
→ Image reconstruction algorithms.
→ data from two different CT manufacturers multi-slice helical CT scanners.
→ with mathematically derived virtual lung models.
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