341 |
Advanced techniques in first pass myocardial perfusion imaging by cardiac magnetic resonanceMaredia, Neil January 2010 (has links)
No description available.
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342 |
An investigation of the use of Raman and fluorescence spectrocopy, coupled with multivariate statisitical analysis and computer systems, in cancer screening and diagnosisHarris, Andrew Thomas January 2010 (has links)
No description available.
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343 |
Measurement of adipose tissue in obese adolescents using magnetic resonance imagingCullingworth, Jane January 2009 (has links)
No description available.
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344 |
The biological effects of the dyes used in sentinel node biopsyMasannat, Yazan Adnan January 2008 (has links)
No description available.
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345 |
Standards in clinical dual energy X-ray absorptiometrySteel, Susan A. January 2009 (has links)
No description available.
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346 |
Development of a decision support framework for electroencephalography signals based on an adaptive fuzzy inference neural network systemJahankhani, Pari January 2009 (has links)
No description available.
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347 |
Diffusion tensor imaging and tractography : An investigation of neurosurgical applicationsByrnes, Tiernan James Dermot January 2009 (has links)
No description available.
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348 |
Polyspectra distribution estimation and its application to small data-sample classificationShanta, Shahnoor January 2008 (has links)
No description available.
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349 |
The use of image registration to aid identification of abdominal adhesionsWright, Benjamin P. January 2010 (has links)
No description available.
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350 |
Hybrid modelling and decision support for ventilator management in intensive care unitsWang, Ang January 2008 (has links)
Mechanical ventilation is a life-saving therapy for patient treatments in Intensive Care Units (ICUs). The management of mechanical ventilation is a very challenging task. It has long been recognised that a computer-based bedside decision support system is r desirable for optimal ventilator management in ICUs. In this thesis, a closed-loop adaptive model-based ventilator management decision support system is developed. A previously developed ventilated patient mathematical model is further improved and extended with respect to the model parameter estimation and the simulation of the patients as their clinical states evolve. A hybrid modelling strategy is implemented by combining mathematical modelling and data-driven modelling techniques. With the availability of rich data in ICU and the improvements made in the model parameter estimation, the model is able to represent patient state evolution and provide accurate blood gas and tidal volume predictions. An adaptive decision support system is, thereafter developed based on the patient model using an optimisation approach and the system is evaluated via a series of closed-loop simulations. Results show that the srstem can generate good ventilator setting advice subject to the patient state changes and competing ventilator management targets. In addition, a future ventilator management tool, named Electrical Impedance Tomography CElT), is investigated in this thesis in relation to its data processing and feature extraction. The integration of EIT into the current decision support system represents a very promising research direction for the optimal ventilator management decision support.
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