Morphological appearance manifolds in computational anatomy: Groupwise registration and morphological analysis

Ensemble-based medical image labelling via sampling morphological appearance manifolds

Atlas-based image labeling is a fundamental tool in medical image segmentation. Recent years have seen extension of single-atlas warping to multi-atlas warping and fusion, which has clearly demonstrated the advantage of consensus-based segmentation. Herein, we further extend this concept, by leveraging upon morphological appearance manifolds (MAMs), which have been previously used to represent ...

Morphological Pyramid Image Registration

We proposed an intensity-based morphological pyramid image registration algorithm. This approach utilizes the global affine transformation model, also considering radiometric changes between images. With the morphological pyramid structure, Levenberg-Marquardt optimization, and bilinear interpolation, this algorithm can be implemented hierarchically and iteratively with capability of measuring,...

Non-Rigid Morphological Image Registration

Computational Locality in Morphological Maps

This paper presents a computational investigation of a range of morphological operations. These operations are first represented as morphological maps, or functions that take a stem as input and return an output with the operation applied (e.g., the ing-suffixation map takes the input ‘dôINk’ and returns ‘dôINk+IN’). Given such representations, each operation can be classified in terms of the c...

Morphological Image Registration and Nonlin- ear Elasticity

Sectional morphological registration on a pair of MR and CT images of a human spine. Top Left: reference, CT, Top Right: template, MR, Bottom Left: resulting deformation applied to a uniform grid. Bottom Right: result of the registration. puter tomography and magnetic resonance tomography, and a variety of novel sources for images, such as functional magnetic resonance imaging (MRI), three dime...