Refined segmentation of nodules for computer assisted diagnosis

Details Refined segmentation of nodules for computer assisted diagnosis Refined segmentation of nodules for computer assisted diagnosis

2011-08-09

2011-08-09

Mariam, Daniel G (Department: 2624)

Image analysis

Applications

Biomedical applications

C382S130000, C382S131000, C382S132000

Reexamination Certificate

active

07995809

ABSTRACT:
By testing for nodule segmentation errors based on the scan data, juxtapleural cases are identified. Once identified, the scan data or subsequent estimation may be altered to account for adjacent rib, tissue, vessel or other structure effecting segmentation. One alteration is to shape a filter as a function of the scan data. For example, an originally estimated ellipsoid for the nodule segmentation defines the filter. The filter is used to identify the undesired information, and masking removes the undesired information for subsequent estimation of the nodule segmentation. Another possible alteration biases the subsequent estimation away from the incorrect information, such as the rib, tissue or vessel information influencing the original estimation. For example, a negative prior or probability is assigned to data corresponding to the originally estimated segmentation for the subsequent estimation.

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