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- Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor
- IEEE Trans. Med. Imaging
- 2002

We describe a method for automatically building statistical shape models from a training set of example boundaries/surfaces. These models show considerable promise as a basis for segmenting and interpreting images. One of the drawbacks of the approach is, however, the need to establish a set of dense correspondences between all members of a set of training… (More)

statistical models of shape optimisation and evaluation statistical models of shape springer 3d statistical shape model building using consistent 3d statistical shape model building using consistent the soap opera encyclopedia angfit journal your lifes journeymicro crystals 7 lined journal 6 example of case study papers paycox how to be a great salesperson… (More)

Statistical shape models have wide application in biomedical image analysis – both for image segmentation and morphometry. This thesis addresses an important issue in shape modelling, that of establishing correspondence between a set of shapes. Current methods involve either manual annotation of the data (the current ‘gold standard’) or establishing… (More)

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We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmenting and interpreting images, a major drawback of the approach is the need to establish a dense correspondence across a training set of example shapes. It is important to… (More)

- Martin Styner, Kumar T. Rajamani, +4 authors Rhodri H. Davies
- IPMI
- 2003

The correspondence problem is of high relevance in the construction and use of statistical models. Statistical models are used for a variety of medical application, e.g. segmentation, registration and shape analysis. In this paper, we present comparative studies in three anatomical structures of four different correspondence establishing methods. The goal… (More)

We extend recent work on building 3D statistical shape models, automatically, from sets of training shapes and describe an application in shape analysis. Using an existing measure of model quality, based on a minimum description length criterion, and an existing method of surface re-parameterisation, we introduce a new approach to model optimisation that is… (More)

- Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, Christopher J. Taylor
- IEEE Trans. Med. Imaging
- 2010

Statistical shape models are powerful tools for image interpretation and shape analysis. A simple, yet effective, way of building such models is to capture the statistics of sampled point coordinates over a training set of example shapes. However, a major drawback of this approach is the need to establish a correspondence across the training set. In 2-D, a… (More)

Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspondences across a training set of segmented shapes. By posing the problem as one of minimising the description length of the model, we develop an efficient method that automatically… (More)

MTDATA allows equilibria to be calculated for multicomponent systems of practical interest, containing many different types of phase, from critically assessed data for their component binary and ternary subsystems. Very complicated calculations can be undertaken with as many as thirty different components and 500 phases being considered simultaneously. A… (More)