Agency for Science, Technology and Research

Jimin Liu

Wieslaw Lucjan Nowinski

Su Huang

A method for segmenting an object of interest (which may be a liver object) in an input image is disclosed. The method comprises the steps of: (a) segmenting the points in a region of interest in the input image into a first and second group of points using predetermined intensity threshold values; (b) identifying a first set of small connected components formed by points in the first group of points and transferring the points in the first set of small connected components to the second group of points; (c) identifying a second set of small connected components formed by points in the second group of points and transferring the points in the second set of small connected components to the first group of points; and (d) forming the segmented object of interest using the first group of points.

Method and system for segmenting a liver object in an image

A method () and an apparatus () are disclosed for registering an input image and an atlas. The atlas is warped () using non-rigid registration. In particular, boundary displacements of structures in the atlas are calculated () which register those structures with equivalent structures in the input image. The boundaries of structures in the atlas are then warped () according to their respective boundary displacements using topology preserving propagation of boundary points of the structures.

Method and apparatus for registration of an atlas to an image

A method is proposed for segmenting a 2- or 3-D space, spanned by a set of medical data comprising intensity values at locations within the space, to estimate the position of an object of medical significance. The method using a level set function having a level set which provides a model of boundary of the object. The level set function is iteratively updated by a force defined based on the medical data. For computational efficiency, only the force in the narrowband of the model boundary needs to be calculated. Minimization of an energy function, related to the force, provides a termination condition for the iteration. High level knowledge can be incorporated in several ways, such as by an explicit force term which takes over from the force based on the medical data when prior knowledge of the object is about to be violated by the model.

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Singapore, Singapore

Jimin Liu