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Modern multidimensional medical imaging technology produces very large amount of data especially from the computed tomography modality. These volumetric dataset opens new demands for big data storage and high-speed communication systems which may be alleviated by image compression techniques. Current image compression schemes adopted in the DICOM standard do not exploit the inter-slice correlation...
X-ray computational tomography is demonstrated as a powerful non-destructive tool to image the internal structure of a hollow core photonic band-gap fibre and its preforms. The technique is applied to measure the deformation within a splice with unprecedented detail.
We present herein a level set approach to the X-ray tomography problem with sparse projection data and study the impact of the projection operator on the binary reconstruction accuracy and computation time. The comparison is carried out on three projectors: the Separable Footprint (Trapeze-Trapeze, SF-TT) [3], a classical Ray-driven (RD) and a Simplified version of the Distance-Driven (SDD) projector...
A novel image registration method is presented for multi-modality, gated cardiac imaging. The motion of the myocardium is registered instead of attributes obtained from image intensities, which may be drastically different. Optical flow methods are used to estimate a set of 3D vector fields for both modalities. The 3D vector fields are assumed to be similar and are rigidly aligned by minimizing a...
As a distributed computing system, a CNC system needs to be operated reliably, dependably and safely. How to design reliable and dependable software and perform effective verification for CNC systems becomes an important research problem. In this paper, we propose a new modeling method called TTM/ATRTTL (Timed Transition Models/All-Time Real-Time Temporal Logics) for specifying CNCsystems. TTM/ATRTTL...
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