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Your search keyword '"Tait, Roger J."' showing total 13 results
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13 results on '"Tait, Roger J."'

11. Intensity-Based Image Registration Using Multiple Distributed Agents.

Author

Ellis, Richard, Allen, Tony, Petridis, Miltos, Tait, Roger J., Schaefer, Gerald, and Hopgood, Adrian A.

Abstract

Registration is the process of geometrically aligning two images taken from different sensors, viewpoints or instances in time. It plays a key role in the detection of defects or anomalies for automated visual inspection. A multiagent distributed blackboard system has been developed for intensity-based image registration. The images are divided into segments and allocated to individual agents on separate processors, allowing parallel computation of a similarity metric that measures the degree of likeness between reference and sensed images after the application of a transform. The need for a dedicated control module is removed by coordination of Distributor, Manager, and Worker agents through communication via the blackboard. Tests show that the system achieves large-scale registration with substantial speedups, provided the communication capacity of the blackboard is not saturated. The success of the approach is demonstrated in the detection of manufacturing defects on screen-printed plastic bottles and printed circuit boards. [ABSTRACT FROM AUTHOR]

Published
2008
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12. A meta-analysis of sex differences in human brain structure

Author

Ruigrok, Amber NV, Salimi-Khorshidi, Gholamreza, Lai, Meng-Chuan, Baron-Cohen, Simon, Lombardo, Michael V, Tait, Roger J, and Suckling, John

Subjects
Adult, Aged, 80 and over, Male, Gaussian-process regression (GPR), Adolescent, Volume, Brain, Voxel-based morphometry, Middle Aged, Meta-analysis, Young Adult, Sex Factors, Child, Preschool, Sex differences, Humans, Female, 10. No inequality, Child, Aged
Abstract

The prevalence, age of onset, and symptomatology of many neuropsychiatric conditions differ between males and females. To understand the causes and consequences of sex differences it is important to establish where they occur in the human brain. We report the first meta-analysis of typical sex differences on global brain volume, a descriptive account of the breakdown of studies of each compartmental volume by six age categories, and whole-brain voxel-wise meta-analyses on brain volume and density. Gaussian-process regression coordinate-based meta-analysis was used to examine sex differences in voxel-based regional volume and density. On average, males have larger total brain volumes than females. Examination of the breakdown of studies providing total volumes by age categories indicated a bias towards the 18-59 year-old category. Regional sex differences in volume and tissue density include the amygdala, hippocampus and insula, areas known to be implicated in sex-biased neuropsychiatric conditions. Together, these results suggest candidate regions for investigating the asymmetric effect that sex has on the developing brain, and for understanding sex-biased neurological and psychiatric conditions.

13. Efficient 3-D medical image registration using a distributed blackboard architecture.

Author

Tait RJ, Schaefer G, Hopgood AA, and Zhu SY

Subjects
Algorithms, Biomedical Engineering, Computer Communication Networks, Computer Systems, Humans, Knowledge Bases, Imaging, Three-Dimensional statistics & numerical data
Abstract

A major drawback of 3-D medical image registration techniques is the performance bottleneck associated with re-sampling and similarity computation. Such bottlenecks limit registration applications in clinical situations where fast execution times are required and become particularly apparent in the case of registering 3-D data sets. In this paper a novel framework for high performance intensity-based volume registration is presented. Geometric alignment of both reference and sensed volume sets is achieved through a combination of scaling, translation, and rotation. Crucially, resampling and similarity computation is performed intelligently by a set of knowledge sources. The knowledge sources work in parallel and communicate with each other by means of a distributed blackboard architecture. Partitioning of the blackboard is used to balance communication and processing workloads. Large-scale registrations with substantial speedups, when compared with a conventional implementation, have been demonstrated.

Published
2006
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