A5085354221- Osteoarthritis Treatment and Mechanisms
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Total Knee Arthroplasty Outcomes
- EEG and Brain-Computer Interfaces
- Bone health and osteoporosis research
- Functional Brain Connectivity Studies
- Musculoskeletal Disorders and Rehabilitation
- Neural dynamics and brain function
- Medical Imaging and Analysis
- Metabolomics and Mass Spectrometry Studies
- Orthopaedic implants and arthroplasty
- Medicinal Plant Pharmacodynamics Research
- Effects of Environmental Stressors on Livestock
- Discourse Analysis in Language Studies
- Bone fractures and treatments
- Cell Image Analysis Techniques
- Knee injuries and reconstruction techniques
- Language, Discourse, Communication Strategies
- Infrared Thermography in Medicine
- Veterinary Equine Medical Research
- Cellular Mechanics and Interactions
- Language, Metaphor, and Cognition
- Lower Extremity Biomechanics and Pathologies
The University of Melbourne
2021-2024
Cranfield University
2019
Alzheimer's disease (AD) accounts for 60%-70% of all dementia cases, and clinical diagnosis at its early stage is extremely difficult. As several new drugs aiming to modify progression or alleviate symptoms are being developed, assess their efficacy, novel robust biomarkers brain function urgently required. This paper aims explore a routine gain such using the quantitative analysis electroencephalography (QEEG). proposes supervised classification framework that uses EEG signals classify...
Since age is the most significant risk factor for development of Alzheimer's disease (AD), it important to understand effect normal ageing on brain network characteristics before we can accurately diagnose condition based information derived from resting state electroencephalogram (EEG) recordings, aiming detect disruption. This article proposes a novel functional connectivity imaging method, particularly targeting contribution nonlinear dynamics connectivity, distinguishing participants...
Kuczynski et al., (2024). ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing. Journal of Open Source Software, 9(97), 6084, https://doi.org/10.21105/joss.06084
Traditional quantitative analysis of bone microstructure in micro-computed tomography (microCT) is dependent on animal scale and requires parametric tuning new implementations. This study aims to develop an automated resolution-invariant 3D image processing workflow for assessment osteophytes.
Abstract The accessibility of quantitative measurements joint morphometry depends on appropriate tibial alignment and volume interest (VOI) selection compartments; often a challenging time-consuming manual task. In this work, we developed novel automatic, efficient, model-invariant image preprocessing pipeline that allows for highly reproducible 3D morphometric analysis (QMA) the joint. addresses problem by deploying two modules: an module subdivision module. Alignment is achieved...
Advances in medical imaging allow non-invasive visualisation and quantification of structural changes related to OA progression. Quantitative morphometric analysis (QMA) using micro-computed tomography (microCT) was shown be sensitive bone, cartilage, whole-joint preclinical animal models knee [1]. As elastic links, each distal/proximal component the joint can move relative one another - changing pose affecting QMA metrics. Control alignment is vital maintaining reproducibility sensitivity...
Quantitative morphometric analysis (QMA) of joint tissues has been shown to be sensitive OA in preclinical rabbit and rat models [1,2]. Traditionally performed using workflows based on morphological operations such as dilation erosion, its sensitivity is dependent animal scale voxel size, requiring parametric studies every new implementation. We hypothesize that probabilistic approaches, it possible capture structural changes while remaining invariant the model size. In this work, a pilot...
High resolution peripheral quantitative computed tomography (HR-pQCT) is an imaging technique capable of trabecular bone in-vivo. HR-pQCT has a wide range applications, primarily focused on to improve our understanding musculoskeletal diseases, assess epidemiological associations, and evaluate the effects pharmaceutical interventions. Processing images largely been supported using scanner manufacturer scripting language (Image Language, IPL, Scanco Medical). However, by expanding image...