A5011289450- Advanced MRI Techniques and Applications
- Cardiac Imaging and Diagnostics
- Medical Image Segmentation Techniques
- Medical Imaging Techniques and Applications
- Coronary Interventions and Diagnostics
- Cardiovascular Health and Disease Prevention
- MRI in cancer diagnosis
- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- 3D Shape Modeling and Analysis
- Cardiac electrophysiology and arrhythmias
- Functional Brain Connectivity Studies
- Sarcoma Diagnosis and Treatment
- Cardiovascular Function and Risk Factors
University of Canterbury
2016-2025
University of Leeds
2010-2016
Abstract This work presents a proof-of-concept solution designed to facilitate more accurate radiographic feature characterisation in pre-surgical CT/MR volumes. The involves 3D co-location of 2D digital histology slides within ex-vivo , tumour tissue CT Initially, laboratory dissection measurements seed the placement slices corresponding volumes, followed by in-plane point-based registration bone images CT. Validation using six bisected canine humerus datasets indicated plane misalignment...
Generic solutions for misalignment correction in image stacks are based on slice-byslice registration to a reference volume. Slice cardiac Magnetic Resonance cine series typically includes translational and rotational components. Recovery of rotation medial down apical slices with the basic slice-to-volume may provide unreliable results because symmetry short-axis view left ventricle. This paper describes novel method stack recovery component. The core presented is custom spatial transform...
This work investigates the effect of arterial bifurcation angulation on atherosclerosis development through in-silico simulations coupled cell dynamics. The computational model presented here combines cellular pathways, fluid dynamics, and physiologically-realistic vessel geometries as observed in human vasculature. cells includes endothelial (ECs) smooth muscle (SMCs) with ion hetero homotypic coupling, well electro-diffusive coupling. Three surface models were used simulations. All three...
Myocardial perfusion imaging, coupled with quantitative analysis, provides an important diagnostic tool for the identification of ischaemic heart disease caused by coronary stenoses. The accurate mapping between anatomy and under-perfused areas myocardium is diagnosis treatment. However, in absence actual during reporting images, ischaemia are allocated to a territory based on population-derived 17-segment (American Heart Association) AHA model blood supply. This work presents solution...
Summary Preferential locations of atherosclerotic plaque are strongly associated with the areas low wall shear stress and disturbed haemodynamic characteristics such as flow detachment, recirculation oscillatory flow. The also reduced production adenosine triphosphate in endothelial layer, well resulting inositol trisphosphate (IP 3 ). subsequent variation Ca 2+ signalling nitric oxide synthesis could lead to impairment atheroprotective function played by oxide. In previous studies, it has...
Background It is generally acknowledged that the 17-segment AHA model provides a suitable approximation for mapping results of X-ray angiography onto myocardial anatomy in consistent way absence more exact method. In practice, coronary varies from patient to which as main limitation model. The aim this study was establish whether generation patient-specific artery perfusion segment map improved diagnosis ischaemia.
Background The human interaction required for manual motion correction/contouring of cardiac perfusion series remains a significant obstacle to quantitative gaining wider acceptance in clinical practice. use image registration correction data offers considerable time saving. Numerous methods have been proposed, with evaluation limited the accuracy. However, important question is how do these affect diagnosis? aim this study evaluate terms its on diagnostic accuracy myocardial ischaemia.
Respiratory motion is a significant obstacle to the use of quantitative perfusion in clinical practice. Increasingly complex correction algorithms are being developed correct for respiratory motion. However, impact these improvements on final diagnosis ischemic heart disease has not been evaluated. The aim this study was compare performance four automated methods terms their diagnostic accuracy. Three strategies were used: (1) independent translation all slices, (2) basal slice with...
Background Automated mage registration in cardiac myocardial perfusion is a necessity before quantitative can be widely accepted clinical practice. Increasingly complex motion correction algorithms are being developed to deal with motion. However, the impact of these improvements has not been evaluated terms final diagnosis. Advanced methods associated increased computational overhead and potential introducing subtle errors, which hard detect quantify. The aim this study was compare...