Stephen D. Laycock
University of East Anglia
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Stephen D. Laycock.
Computer Graphics Forum | 2003
Stephen D. Laycock; A. M. Day
Over recent years a variety of haptic feedback devices have been developed and are being used in a number of important applications. They range from joysticks used in the entertainment industry to specialised devices used in medical applications. This paper will describe the recent developments of these devices and show how they have been applied. It also examines how haptic feedback has been combined with visual display devices, such as virtual reality walls and workbenches, in order to improve the immersive experience.
Computer Graphics Forum | 2007
Stephen D. Laycock; A. M. Day
Computer Graphics technologies have developed considerably over the past decades. Realistic virtual environments can be produced incorporating complex geometry for graphical objects and utilising hardware acceleration for per pixel effects. To enhance these environments, in terms of the immersive experience perceived by users, the humans sense of touch, or haptic system, can be exploited. To this end haptic feedback devices capable of exerting forces on the user are incorporated. The process of determining a reaction force for a given position of the haptic device is known as haptic rendering. For over a decade users have been able to interact with a virtual environment with a haptic device. This paper focuses on the haptic rendering algorithms which have been developed to compute forces as users manipulate the haptic device in the virtual environment.
Journal of Endovascular Therapy | 2013
Matthew Dbs Tam; Stephen D. Laycock; James R.I. Brown; Matthew Jakeways
Purpose: To describe rapid prototyping or 3-dimensional (3D) printing of aneurysms with complex neck anatomy to facilitate endovascular aneurysm repair (EVAR). Case Report: A 75-year-old man had a 6.6-cm infrarenal aortic aneurysm that appeared on computed tomographic angiography to have a sharp neck angulation of ∼90°. However, although the computed tomography (CT) data were analyzed using centerline of flow, the true neck length and relations of the ostial origins were difficult to determine. No multidisciplinary consensus could be reached as to which stent-graft to use owing to these borderline features of the neck anatomy. Based on past experience with rapid prototyping technology, a decision was taken to print a model of the aneurysm to aid in visualization of the neck anatomy. The CT data were segmented, processed, and converted into a stereolithographic format representing the lumen as a 3D volume, from which a full-sized replica was printed within 24 hours. The model demonstrated that the neck was adequate for stent-graft repair using the Aorfix device. Conclusion: Rapid prototyping of aortic aneurysms is feasible and can aid decision making and device delivery. Further work is required to test the value of 3D replicas in planning procedures and their impact on procedure time, radiation dose, and procedure cost.
Journal of Radiology Case Reports | 2012
Matthew Dbs Tam; Stephen D. Laycock; Duncan Bell; Adrian Chojnowski
A 6 year old girl presented with a large osteochondroma arising from the scapula. Radiographs, CT and MRI were performed to assess the lesion and to determine whether the lesion could be safely resected. A model of the scapula was created by post-processing the DICOM file and using a 3-D printer. The CT images were segmented and the images were then manually edited using a graphics tablet, and then an STL-file was generated and a 3-D plaster model printed. The model allowed better anatomical understanding of the lesion and helped plan surgical management.
IEEE Transactions on Biomedical Engineering | 2012
Osama Dorgham; Stephen D. Laycock; Mark Fisher
Recent advances in programming languages for graphics processing units (GPUs) provide developers with a convenient way of implementing applications which can be executed on the CPU and GPU interchangeably. GPUs are becoming relatively cheap, powerful, and widely available hardware components, which can be used to perform intensive calculations. The last decade of hardware performance developments shows that GPU-based computation is progressing significantly faster than CPU-based computation, particularly if one considers the execution of highly parallelisable algorithms. Future predictions illustrate that this trend is likely to continue. In this paper, we introduce a way of accelerating 2-D/3-D image registration by developing a hybrid system which executes on the CPU and utilizes the GPU for parallelizing the generation of digitally reconstructed radiographs (DRRs). Based on the advancements of the GPU over the CPU, it is timely to exploit the benefits of many-core GPU technology by developing algorithms for DRR generation. Although some previous work has investigated the rendering of DRRs using the GPU, this paper investigates approximations which reduce the computational overhead while still maintaining a quality consistent with that needed for 2-D/3-D registration with sufficient accuracy to be clinically acceptable in certain applications of radiation oncology. Furthermore, by comparing implementations of 2-D/3-D registration on the CPU and GPU, we investigate current performance and propose an optimal framework for PC implementations addressing the rigid registration problem. Using this framework, we are able to render DRR images from a
ACM Journal on Computing and Cultural Heritage | 2012
Stephen D. Laycock; Graham D. Bell; David B. Mortimore; Mark Greco; Nick Corps; Irving Finkle
256\times 256\times 133
BMC Structural Biology | 2009
Matthew B. Stocks; Steven Hayward; Stephen D. Laycock
CT volume in
Journal of Radiology Case Reports | 2013
Matthew David Tam; Stephen D. Laycock; David Jayne; Judith Babar; Brendon Noble
{\sim}24
Journal of Radiotherapy in Practice | 2015
Stephen D. Laycock; M. Hulse; C. D. Scrase; M. D. Tam; S. Isherwood; David B. Mortimore; Daniel Emmens; J. Patman; Susan Short; G. D. Bell
ms using an NVidia GeForce 8800 GTX and in
advances in computer-human interaction | 2009
Francisco A. Madera; A. M. Day; Stephen D. Laycock
{\sim}2