Fuzzy functional dependency (FFD) is a kind of semantic knowledge and can be discovered from a large volume of business data. Sectional FFD and Attribute FFD are discussed so as to reflect semantics of the business world and express useful information that is natural for people to comprehend. The experimental results on an insurance data set show that the proposed method can extract knowledge e...

We present a unified statistical approach to deformation-based morphometry applied to the cortical surface. The cerebral cortex has the topology of a 2D highly convoluted sheet. As the brain develops over time, the cortical surface area, thickness, curvature, and total gray matter volume change. It is highly likely that such age-related surface changes are not uniform. By measuring how such sur...

BACKGROUND Similarity measures in medical images do not uniquely determine the correspondence between two voxels in deformable image registration. Uncertainties in the final computed deformation exist, questioning the actual physiological consistency of the deformation between the two images. OBJECTIVES We developed a deformable image registration method that regularizes the deformation field...

This paper presents a novel approach based on the shape space concept to classify deformations of 3D models. A new quasi-conformal metric is introduced which measures the curvature changes at each vertex of each pose during the deformation. The shapes with similar deformation patterns follow a similar deformation curve in shape space. Energy functional of the deformation curve is minimized to c...

Craniofacial reconstruction aims at estimating the facial outlook associated to an unknown specimen. Craniofacial reconstruction is generally based on the statistical tissue thickness on anthropometric landmarks. However, the features points alone are not enough for realistic reconstruction. So, in our paper, we take advantage of a reference facial model, through measuring the differences betwe...

Many efforts have been made to model the the hot deformation (dynamic recrystallization) flow curves of different materials. Phenomenological constitutive models, physical-based constitutive models and artificial neural network (ANN) models are the main methods used for this purpose. However, there is no report on the modeling of warm deformation (dynamic spheroidization) flow curves of any kin...

In this paper we present, evaluate, and discuss two multiscale schemes for modelling grey-level appearance in a deformable model for the segmentation of abdominal aortic aneurysm thrombus from CT angiography scans. The methods are initialised with the lumen boundary, and the image-based deformation force is based on a non-parametric statistical grey level model built from training data obtained...

OBJECTIVE Virtual surgery provides important assistance in preoperative planning of brain surgeries. A virtual surgery system essentially consists of visualization and modeling of the medical data and deformation simulation of human organs (mainly soft tissues). We used the hybrid level set theory, threshold segmentation, and morphological methods to segment the human head MRI volumetric data i...

In this paper, we describe feature-based nonrigid registration of histological serial section images. Our method represents non-rigid deformation by blending the rigid transformations estimated in the local region around a control point. This approach can efficiently represent nonrigid deformation with a smaller number of control points than conventional methods that interpolate displacement, s...