Method for automatic construction of 2D statistical shape model for the lung regions
View Patent ↗A method for automatic construction of 2D statistical shape models for the lung regions in chest radiographic images comprising: providing a radiographic image of the chest region of an individual; by performing a manual contour tracing, extracting the lung region shape instances from the chest radiographic image; by using a shape alignment algorithm, aligning all shape instances as closely as possible to a pre-defined template shape; and generating a statistical model shape of the lung regions by principle component analysis using the aligned shape instances.
1. A method for automatic construction of 2D statistical shape models for the lung regions in chest radiographs, comprising:
extracting the anatomical structure contours from a chest radiograph image;
rigidly aligning shape instances to a template shape using a coarse shape alignment algorithm;
optimizing the alignment of shape instances to said template shape by a detailed shape alignment process; and
generating a statistical shape model using said aligned shape instances;
wherein said coarse shape alignment process includes:
creating a template shape;
computing the minimal distance and associated transformation parameters between said template shape and a shape instance; and
transforming the shape instance based on the transformation parameters.
2. The method of claim 1 , wherein said computing the minimal distance includes;
computing the polygon approximations from said template shape and a shape instance;
computing the minimal distance between said polygon approximations; and
determining the associated scale, rotation, and translation parameters using the minimal distance.
3. The method of claim 2 , wherein said computing the minimal distance includes:
computing the turning functions of said polygon approximations; and
searching the minimal distance between said turning functions.
4. A method for automatic construction of 2D statistical shape models for the lung regions in chest radiographs, comprising:
extracting the anatomical structure contours from a chest radiograph image;
rigidly aligning shape instances to a template shape using a coarse shape alignment algorithm;
optimizing the alignment of shape instances to said template shape by a detailed shape alignment process; and
generating a statistical shape model using said aligned shape instances;
wherein said detailed shape alignment process includes:
locating landmarks related to the shape features along the shape contours;
calculating the transformation parameters using the distance between the template shape landmarks and the instance shape landmarks; and
transforming the shape instance based on the transformation parameters.
5. The method of claim 4 , wherein locating landmarks includes:
choosing a certain polygon vertices with salient shape features as landmarks; and
locating a fixed number of equidistant points between said landmarks as the rest of the landmarks.
6. The method of claim 4 wherein calculating the transformation parameters is carried out using the Procrustes distance.