ORCID Profile
0000-0001-9885-8803
Current Organisation
The University of Newcastle
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Control Systems, Robotics and Automation | Electrical and Electronic Engineering | Calculus of Variations, Systems Theory and Control Theory | Robotics And Mechatronics | Wireless Communications | Control Engineering | Mechanical Engineering | Renewable Power and Energy Systems Engineering (excl. Solar Cells) | Signal Processing | Dynamical Systems | Transport Engineering | Applied Mathematics | Nanotechnology | Systems Theory And Control | Communications Technologies | Operations Research | Logistics and Supply Chain Management | Business and Management | Post Harvest Horticultural Technologies (incl. Transportation and Storage) | Interdisciplinary Engineering Not Elsewhere Classified | Applied Statistics | Interdisciplinary Engineering | Biomedical Engineering not elsewhere classified | Intelligent Robotics | Quantum Optics And Lasers |
Expanding Knowledge in Engineering | Mathematical sciences | Mobile Data Networks and Services | Telecommunications | Air Force | Application packages | Processed Fruit and Vegetable Products (incl. Fruit Juices) | Physical sciences | Scientific instrumentation | Energy Systems Analysis | Mobile Telephone Networks and Services | Road Infrastructure and Networks | Road Passenger Movements (excl. Public Transport) | Expanding Knowledge in the Mathematical Sciences | Environmentally Sustainable Transport not elsewhere classified | Other
Publisher: IEEE
Date: 11-2018
Publisher: IEEE
Date: 09-2016
Publisher: Elsevier BV
Date: 08-2016
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Journal of Artificial Societies and Social Simulation
Date: 2019
DOI: 10.18564/JASSS.4008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Publisher: IEEE
Date: 12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Publisher: IEEE
Date: 12-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: IEEE
Date: 07-2015
Publisher: Elsevier BV
Date: 08-2016
Publisher: Elsevier BV
Date: 05-2022
Publisher: IEEE
Date: 12-2014
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 07-2017
Publisher: Springer Science and Business Media LLC
Date: 28-10-2010
Publisher: IEEE
Date: 10-2007
Publisher: Wiley
Date: 12-08-2014
DOI: 10.1002/RNC.3229
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2010
Publisher: IEEE
Date: 2002
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2005
Publisher: Institution of Engineering and Technology (IET)
Date: 07-2008
Publisher: Elsevier BV
Date: 2011
Publisher: IEEE
Date: 06-2018
Publisher: IEEE
Date: 12-2012
Publisher: IEEE
Date: 2004
Publisher: IEEE
Date: 12-2020
Publisher: IEEE
Date: 12-2010
Publisher: IEEE
Date: 12-2015
Publisher: Elsevier BV
Date: 2012
Publisher: IEEE
Date: 08-2019
Publisher: IEEE
Date: 03-2012
Publisher: Elsevier BV
Date: 11-2001
Publisher: IEEE
Date: 14-12-2020
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 09-2011
Publisher: Elsevier BV
Date: 02-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-1987
Publisher: Elsevier BV
Date: 12-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-1990
DOI: 10.1109/9.53514
Publisher: IEEE
Date: 05-2018
Publisher: IEEE
Date: 06-2008
Publisher: Elsevier BV
Date: 05-2012
DOI: 10.1016/J.JTBI.2012.01.026
Abstract: The IGF-1 mediated Akt/mTOR pathway has been recently proposed as mediator of skeletal muscle growth and a positive feedback between Akt and mTOR was suggested to induce homogeneous growth signals along the whole spatial extension of such long cells. Here we develop two biologically justified approximations which we study under the presence of four different initial conditions that describe different paradigms of IGF-1 receptor-induced Akt/mTOR activation. In first scenario the activation of the feedback cascade was assumed to be mild or protein turnover considered to be high. In turn, in the second scenario the transcriptional regulation was assumed to maintain defined levels of inactive pro-enzymes. For both scenarios, we were able to obtain closed-form formulas for growth signal progression in time and space and found that a localised initial signal maintains its Gaussian shape, but gets delocalised and exponentially degraded. Importantly, mathematical treatment of the reaction diffusion system revealed that diffusion filtered out high frequencies of spatially periodic initiator signals suggesting that the muscle cell is robust against fluctuations in spatial receptor expression or activation. However, neither scenario was consistent with the presence of stably travelling signal waves. Our study highlights the role of feedback loops in spatiotemporal signal progression and results can be applied to studies in cell proliferation, cell differentiation and cell death in other spatially extended cells.
Publisher: Elsevier BV
Date: 08-2006
Publisher: Institution of Engineering and Technology (IET)
Date: 2012
DOI: 10.1049/IET-SYB.2011.0076
Abstract: Previous article on the integrative modelling of Parkinson's disease (PD) described a mathematical model with properties suggesting that PD pathogenesis is associated with a feedback-induced biochemical bistability. In this article, the authors show that the dynamics of the mathematical model can be extracted and distilled into an equivalent two-state feedback motif whose stability properties are controlled by multi-factorial combinations of risk factors and genetic mutations associated with PD. Based on this finding, the authors propose a principle for PD pathogenesis in the form of the switch-like transition of a bistable feedback process from 'healthy' homeostatic levels of reactive oxygen species and the protein α-synuclein, to an alternative 'disease' state in which concentrations of both molecules are stable at the damagingly high-levels associated with PD. The bistability is analysed using the rate curves and steady-state response characteristics of the feedback motif. In particular, the authors show how a bifurcation in the feedback motif marks the pathogenic moment at which the 'healthy' state is lost and the 'disease' state is initiated. Further analysis shows how known risks (such as: age, toxins and genetic predisposition) modify the stability characteristics of the feedback motif in a way that is compatible with known features of PD, and which explain properties such as: multi-factorial causality, variability in susceptibility and severity, multi-timescale progression and the special cases of familial Parkinson's and Parkinsonian symptoms induced purely by toxic stress.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2011
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2016
Publisher: IEEE
Date: 12-2014
Publisher: Wiley
Date: 16-10-2002
DOI: 10.1002/RNC.671
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2007
Publisher: IGI Global
Date: 07-2011
Abstract: Designing suitable robotic controllers for automating movement-based rehabilitation therapy requires an understanding of the interaction between patient and therapist. Current approaches do not take into account the highly dynamic and interdependent nature of this relationship. A better understanding can be accomplished through framing the interaction as a problem in game theory. The main strength behind this approach is the potential to develop robotic control systems which automatically adapt to patient interaction behavior. Agents learn from experiences, and adapt their behaviors so they are better suited to their environment. As the models evolve, structures, patterns and behaviors emerge that were not explicitly programmed into the original models, but which instead surface through the agent interactions with each other and their environment. This paper advocates the use of such agent based models for analysing patient-therapist interactions with a view to designing more efficient and effective robotic controllers for automated therapeutic intervention in motor rehabilitation. The authors demonstrate in a simplified implementation the effectiveness of this approach through simulating known behavioral patterns observed in real patient-therapist interactions, such as learned dependency.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1988
DOI: 10.1109/9.382
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2003
Publisher: IEEE
Date: 11-2017
Publisher: Elsevier BV
Date: 03-1986
Publisher: Elsevier BV
Date: 05-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-1995
DOI: 10.1109/9.388704
Publisher: Elsevier BV
Date: 12-2008
Publisher: IEEE
Date: 05-2008
Publisher: IEEE
Date: 2005
Publisher: Elsevier BV
Date: 11-1989
Publisher: Elsevier BV
Date: 2014
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Springer Science and Business Media LLC
Date: 12-08-2016
Publisher: Elsevier BV
Date: 07-2016
Publisher: Springer Science and Business Media LLC
Date: 02-05-2009
DOI: 10.1007/S11538-009-9427-5
Abstract: The regulation of cellular metabolism facilitates robust cellular operation in the face of changing external conditions. The cellular response to this varying environment may include the activation or inactivation of appropriate metabolic pathways. Experimental and numerical observations of sequential timing in pathway activation have been reported in the literature. It has been argued that such patterns can be rationalized by means of an underlying optimal metabolic design. In this paper we pose a dynamic optimization problem that accounts for time-resource minimization in pathway activation under constrained total enzyme abundance. The optimized variables are time-dependent enzyme concentrations that drive the pathway to a steady state characterized by a prescribed metabolic flux. The problem formulation addresses unbranched pathways with irreversible kinetics. Neither specific reaction kinetics nor fixed pathway length are assumed.In the optimal solution, each enzyme follows a switching profile between zero and maximum concentration, following a temporal sequence that matches the pathway topology. This result provides an analytic justification of the sequential activation previously described in the literature. In contrast with the existent numerical approaches, the activation sequence is proven to be optimal for a generic class of monomolecular kinetics. This class includes, but is not limited to, Mass Action, Michaelis-Menten, Hill, and some Power-law models. This suggests that sequential enzyme expression may be a common feature of metabolic regulation, as it is a robust property of optimal pathway activation.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2003
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2013
Publisher: Elsevier BV
Date: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2014
Publisher: Springer Science and Business Media LLC
Date: 10-05-2008
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Elsevier BV
Date: 2017
Publisher: IEEE
Date: 12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2000
DOI: 10.1109/9.847116
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2010
Publisher: Elsevier BV
Date: 1992
Publisher: IEEE
Date: 06-2009
Publisher: IEEE
Date: 05-2020
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 2005
Publisher: CRC Press
Date: 19-12-2017
DOI: 10.1201/B10383
Publisher: Wiley
Date: 30-07-2010
DOI: 10.1002/RNC.1628
Publisher: Elsevier BV
Date: 2016
Publisher: IEEE
Date: 12-2012
Publisher: IEEE
Date: 2007
Publisher: Elsevier BV
Date: 2009
Publisher: Elsevier BV
Date: 03-2002
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-1993
DOI: 10.1109/59.260819
Publisher: Elsevier BV
Date: 11-1987
Publisher: Elsevier BV
Date: 02-2015
DOI: 10.1016/J.EJMP.2014.11.002
Abstract: A new tool with the potential to verify and track jaw position during delivery has been developed. The method should be suitable for independent quality assurance for jaw position during jaw tracking dynamic IMRT and VMAT treatments. The jaw detection and tracking algorithm developed consists of five main steps. Firstly, the image is enhanced by removing a normalised predicted EPID image (that does not include the collimator transmission) from each cine EPID image. Then, using a histogram clustering technique a global intensity threshold level was determined. This threshold level was used to classify each pixel of the image as either under the jaws or under the MLC. Additionally, the collimator angle was automatically detected and used to rotate the image to vertical direction. Finally, this rotation allows the jaw positions to be determined using vertical and horizontal projection profiles. Nine IMRT fields (with static jaws) and a single VMAT clinical field (with dynamic jaws) were tested by determining the root mean square difference between planned and detected jaw positions. The test results give a detection accuracy of ±1 mm RMS error for static jaw IMRT treatments and ±1.5 mm RMS error for the dynamic jaw VMAT treatment. This method is designed for quality assurance and verification in modern radiation therapy to detect the position of static jaws or verify the position of tracking jaws in more complex treatments. This method uses only information extracted from EPID images and it is therefore independent from the linear accelerator.
Publisher: Elsevier BV
Date: 11-1993
Publisher: Elsevier BV
Date: 2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2009
Publisher: IEEE
Date: 12-2012
Publisher: Public Library of Science (PLoS)
Date: 16-09-2013
Publisher: Elsevier BV
Date: 04-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2009
Publisher: Springer New York
Date: 2012
Publisher: Informa UK Limited
Date: 08-2012
Publisher: IEEE
Date: 2009
Publisher: Elsevier BV
Date: 05-1999
Publisher: IEEE
Date: 12-2013
Publisher: Elsevier BV
Date: 2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2007
Publisher: Wiley
Date: 20-01-2016
DOI: 10.1002/RNC.3508
Publisher: Elsevier BV
Date: 2016
Publisher: Wiley
Date: 2000
DOI: 10.1002/1099-1239(20000730)10:9<729::AID-RNC508>3.0.CO;2-Z
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Publisher: IEEE
Date: 12-2009
Publisher: Elsevier BV
Date: 07-2017
Publisher: Elsevier BV
Date: 07-1994
Publisher: IEEE
Date: 2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2011
Publisher: Elsevier BV
Date: 07-2020
Publisher: IEEE
Date: 12-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2007
Publisher: IEEE
Date: 08-2009
Publisher: IEEE
Date: 09-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1997
DOI: 10.1109/9.650017
Publisher: Elsevier BV
Date: 06-2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2014
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 02-1995
Publisher: IEEE
Date: 12-2015
Publisher: Elsevier BV
Date: 03-2013
DOI: 10.1016/J.JTBI.2012.11.028
Abstract: A typical HIV infection response consists of three stages: an initial acute infection, a long asymptomatic period and a final increase in viral load with simultaneous collapse in healthy CD4+T cell counts. The majority of existing mathematical models give a good representation of either the first two stages or the last stage of the infection. Using macrophages as a long-term active reservoir, a deterministic model is proposed to explain the three stages of the infection including the progression to AIDS. Simulation results illustrate how chronic infected macrophages can explain the progression to AIDS provoking viral explosion. Further simulation studies suggest that the proposed model retains its key properties even under moderately large parameter variations. This model provides important insights on how macrophages might play a crucial role in the long term behavior of HIV infection.
Publisher: Elsevier BV
Date: 05-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-1996
DOI: 10.1109/9.506242
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1992
DOI: 10.1109/9.182489
Publisher: Elsevier BV
Date: 1988
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Publisher: Elsevier BV
Date: 12-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2017
Publisher: IEEE
Date: 09-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1988
DOI: 10.1109/9.360
Publisher: Elsevier BV
Date: 09-2002
Publisher: IEEE
Date: 12-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1993
DOI: 10.1109/28.259721
Publisher: Elsevier BV
Date: 03-1991
Publisher: IEE
Date: 2008
DOI: 10.1049/CP:20080668
Publisher: Springer Science and Business Media LLC
Date: 19-05-2013
DOI: 10.1007/S10827-013-0453-9
Abstract: Spontaneous oscillations in the mid-brain dopaminergic neurons are an important feature of motor control. The degeneration of these neurons is involved in movement disorders, particularly Parkinson's Disease. Modelling of this activity is an important part of developing an understanding of the pathogenic process. We develop a mathematical paradigm to describe this activity with a single compartment approach and a CellML version is made publicly available. The model explicitly describes the dynamics of the transmembrane potential with changes in the levels of important cations and is consistent with two major observations in the literature regarding its behaviour in the presence of channel blockers. Stability of the model behaviour is determined from the properties of its Monodromy matrix. We also discuss from the perspective of energy, a pharmacological intervention suggested in the treatment of Parkinson's Disease.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2011
Publisher: IEEE
Date: 12-2013
Publisher: IEEE
Date: 08-2009
Publisher: IEEE
Date: 10-2014
Publisher: IEEE
Date: 08-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1998
DOI: 10.1109/9.661076
Publisher: IEEE
Date: 12-2009
Publisher: IEEE
Date: 12-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Date: 06-2017
Publisher: IEEE
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2011
Publisher: Elsevier BV
Date: 08-1989
Publisher: BMJ
Date: 08-2019
DOI: 10.1136/BMJGH-2019-001467
Abstract: Health system planners in low- and middle-income countries (LMIC) of the Asia-Pacific region seeking to reorient primary health care (PHC) systems to achieve universal health coverage may be hindered by lack of knowledge of what works in their setting. With limited resources for research available, it is important to identify evidence-based strategies for reorganising PHC delivery, determine where relevant evidence gaps exist and prioritise these for future study. This paper describes an approach for doing this using the best available evidence combined with consultation to establish evidence priorities. We first reviewed PHC organisational interventions in Asia-Pacific LMICs and ascertained evidence gaps. The largest gaps related to interventions to promote access to essential medicines, patient management tools, effective health promotion strategies and service planning and accountability. Evidence from Pacific Island countries was particularly scant. We then engaged an expert panel of 22 PHC stakeholders from seven Asia-Pacific LMICs in a Delphi exercise to identify priority questions for future research. Research priorities were: (1) identifying effective PHC service delivery models for chronic diseases (2) devising sustainable models of disease integration (3) optimising task shifting (4) understanding barriers to care continuity (5) projecting future PHC needs and (6) designing appropriate PHC service packages. Notably, stakeholder-determined priorities reflected large, context-dependent system issues, while evidence gaps centred on discrete interventions. Future research on the organisation of PHC services in Asia-Pacific LMICs should incorporate codesign principles to engage researchers and national PHC system stakeholders, and innovative methods that build on existing evidence and account for system complexity.
Publisher: IEEE
Date: 12-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2011
Publisher: Springer Science and Business Media LLC
Date: 29-01-2013
DOI: 10.1007/S00285-013-0644-Z
Abstract: Positive feedback loops are common regulatory elements in metabolic and protein signalling pathways. The length of such feedback loops determines stability and sensitivity to network perturbations. Here we provide a mathematical analysis of arbitrary length positive feedback loops with protein production and degradation. These loops serve as an abstraction of typical regulation patterns in protein signalling pathways. We first perform a steady state analysis and, independently of the chain length, identify exactly two steady states that represent either biological activity or inactivity. We thereby provide two formulas for the steady state protein concentrations as a function of feedback length, strength of feedback, as well as protein production and degradation rates. Using a control theory approach, analysing the frequency response of the linearisation of the system and exploiting the Small Gain Theorem, we provide conditions for local stability for both steady states. Our results demonstrate that, under some parameter relationships, once a biological meaningful on steady state arises, it is stable, while the off steady state, where all proteins are inactive, becomes unstable. We apply our results to a three-tier feedback of caspase activation in apoptosis and demonstrate how an intermediary protein in such a loop may be used as a signal lifier within the cascade. Our results provide a rigorous mathematical analysis of positive feedback chains of arbitrary length, thereby relating pathway structure and stability.
Publisher: IEEE
Date: 12-2011
Publisher: IEEE
Date: 12-2018
Publisher: IEEE
Date: 12-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2015
Publisher: Elsevier BV
Date: 12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2014
Publisher: IOP Publishing
Date: 12-12-2013
DOI: 10.1088/0031-9155/59/1/61
Abstract: A new tool has been developed to verify the trajectory of dynamic multileaf collimators (MLCs) used in advanced radiotherapy techniques using only the information provided by the electronic portal imaging devices (EPID) measured image frames. The prescribed leaf positions are res led to a higher resolution in a pre-processing stage to improve the verification precision. Measured MLC positions are extracted from the EPID frames using a template matching method. A cosine similarity metric is then applied to synchronise measured and planned leaf positions for comparison. Three additional comparison functions were incorporated to ensure robust synchronisation. The MLC leaf trajectory error detection was simulated for both intensity modulated radiation therapy (IMRT) (prostate) and volumetric modulated arc therapy (VMAT) (head-and-neck) deliveries with anthropomorphic phantoms in the beam. The overall accuracy for MLC positions automatically extracted from EPID image frames was approximately 0.5 mm. The MLC leaf trajectory verification system can detect leaf position errors during IMRT and VMAT with a tolerance of 3.5 mm within 1 s.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2019
Publisher: Public Library of Science (PLoS)
Date: 13-08-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-1986
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2019
Publisher: IEEE
Date: 06-2014
Publisher: Elsevier BV
Date: 09-2013
Publisher: Elsevier BV
Date: 09-2010
Publisher: Elsevier BV
Date: 11-2011
DOI: 10.1016/J.CMPB.2011.07.011
Abstract: The use of highly active antiretroviral therapy (HAART) for suppression of measurable levels of virus in the body has greatly contributed to restoration and preservation of the immune system in HIV positive patients. However, short and long term problems associated with HAART have led to proposals for alternative treatment strategies for controlling HIV infection. In particular, structured treatment interruptions (STIs) that consist of therapy withdrawal and re-initiation according to specific criteria have been considered. The aim of these STIs was one or both of: (i) to stimulate the immune system to react to HIV, (ii) to allow re-emergence of wild-type virus and thereby reduce problems of drug resistance. However, a number of clinical trials of STIs have shown adverse outcomes for patients under discontinuous therapy, including serious health risks associated with treatment interruptions. In this paper we consider in some detail two of the larger clinical studies, namely, (a) strategies for management of anti-retroviral therapy (SMART) (b) Staccato study. For each of these studies we perform computer simulations of the treatment strategies. These simulations suggest several underlying reasons for the adverse outcomes during treatment interruption. In particular, HIV infection exhibits rapid dynamic load changes, and therefore measurement based treatment regimes need to be carefully designed to avoid large transients in healthy CD4+ T cell count. Furthermore, repeated treatment interruptions may accelerate the emergence of resistant mutant virus and may increase the infection of long term reservoirs such as macrophages which will accelerate progression to AIDS.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2011
Publisher: IEEE
Date: 06-2008
Publisher: IEEE
Date: 11-2013
Publisher: IEEE
Date: 1998
Publisher: Elsevier BV
Date: 2019
Publisher: IEEE
Date: 07-2007
Publisher: IEEE
Date: 07-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
Date: 2020
Publisher: Elsevier BV
Date: 02-2001
Publisher: Elsevier BV
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2008
Publisher: Elsevier BV
Date: 2018
Publisher: Springer Singapore
Date: 30-11-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Elsevier BV
Date: 09-1994
Publisher: Public Library of Science (PLoS)
Date: 08-05-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2010
Publisher: Elsevier BV
Date: 10-2011
Publisher: IEEE
Date: 12-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 05-2020
Publisher: Informa UK Limited
Date: 05-02-2014
Publisher: Elsevier BV
Date: 05-1999
Publisher: Emerald
Date: 13-03-2017
DOI: 10.1108/IJHCQA-03-2016-0028
Abstract: Due to increasing complexity, modern radiotherapy techniques require comprehensive quality assurance (QA) programmes, that to date generally focus on the pre-treatment stage. The purpose of this paper is to provide a method for an in idual patient treatment QA evaluation and identification of a “quality gap” for continuous quality improvement. A statistical process control (SPC) was applied to evaluate treatment delivery using in vivo electronic portal imaging device (EPID) dosimetry. A moving range control chart was constructed to monitor the in idual patient treatment performance based on a control limit generated from initial data of 90 intensity-modulated radiotherapy (IMRT) and ten volumetric-modulated arc therapy (VMAT) patient deliveries. A process capability index was used to evaluate the continuing treatment quality based on three quality classes: treatment type-specific, treatment linac-specific, and body site-specific. The determined control limits were 62.5 and 70.0 per cent of the χ pass-rate for IMRT and VMAT deliveries, respectively. In total, 14 patients were selected for a pilot study the results of which showed that about 1 per cent of all treatments contained errors relating to unexpected anatomical changes between treatment fractions. Both rectum and pelvis cancer treatments demonstrated process capability indices were less than 1, indicating the potential for quality improvement and hence may benefit from further assessment. The study relied on the application of in vivo EPID dosimetry for patients treated at the specific centre. S ling patients for generating the control limits were limited to 100 patients. Whilst the quantitative results are specific to the clinical techniques and equipment used, the described method is generally applicable to IMRT and VMAT treatment QA. Whilst more work is required to determine the level of clinical significance, the authors have demonstrated the capability of the method for both treatment specific QA and continuing quality improvement. The proposed method is a valuable tool for assessing the accuracy of treatment delivery whilst also improving treatment quality and patient safety. Assessing in vivo EPID dosimetry with SPC can be used to improve the quality of radiation treatment for cancer patients.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1992
DOI: 10.1109/5.123294
Publisher: Elsevier BV
Date: 04-2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2002
Start Date: 02-2015
End Date: 12-2018
Amount: $295,900.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2013
End Date: 12-2016
Amount: $330,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2019
End Date: 12-2023
Amount: $502,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 09-2012
End Date: 12-2015
Amount: $360,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 04-2016
End Date: 12-2019
Amount: $350,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2006
End Date: 04-2007
Amount: $530,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2004
End Date: 12-2003
Amount: $30,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2022
End Date: 12-2025
Amount: $415,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 11-2014
End Date: 12-2019
Amount: $2,119,872.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2003
End Date: 12-2011
Amount: $13,749,290.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2004
End Date: 11-2004
Amount: $20,000.00
Funder: Australian Research Council
View Funded Activity