Automatic detection and monitoring of nodules and shaped targets in image data
US8073226B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 2, 2007 |
| Grant date | Dec 6, 2011 |
| Priority date | — |
| Expiry date | Sep 26, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30064
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for detecting a nodule in image data including the steps of segmenting scanning information from an image slice to isolate lung tissue from other structures, resulting in segmented image data; extracting anatomic structures, including any potential nodules, from the segmented image data, resulting in extracted image data; and detecting possible nodules from the extracted image data, based on deformable prototypes of candidates generated by a level set method in combination with a marginal gray level distribution method. Embodiments of the invention also relate to an automatic method for detecting and monitoring a nodule in image data, where the method includes the steps of determining adaptive probability models of visual appearance of small 2D and large 3D nodules to control evolution of deformable models to get accurate segmentation of pulmonary nodules from image data; modeling a first set of nodules in image data with a translation and rotation invariant Markov-Gibbs random field (MGRF) of voxel intensities with pairwise interaction analytically identified from a set of training nodules; modeling a second subsequent set of nodules in image data by estimating a linear c…
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