21 March 2017, 03.13.010 Ultrasound Transit Time Spectroscopy – a novel approach to tissue characterisation Ultrasound transit time spectroscopy (UTTS) approximates ultrasound propagation through composite media as an array of parallel sonic rays. Via deconvolution of experimentally derived ultrasound input and output signals the resulting impulse response of the test sample, being dependent upon its composition and structure. Applications of UTTS include estimation of bone volume fraction of composites and improving image axial resolution. This talk will provide an overview of the UTTS research within our Quantitative Ultrasound and Image Characterisation (QUIC) research group at QUT.
15 March 2017, MI 03.13.010? Longitudinal Imaging: Challenges and Oportunities to Study Growth and Disease Trajectories Clinical assessment routinely uses terms such as development, growth trajectory, aging, degeneration, disease progress, recovery or prediction. This terminology inherently carries the aspect of dynamic processes, suggesting that measurement of dynamic spatiotemporal changes may provide information not available from single snapshots in time. Image processing of temporal series of 3-D data embedding time-varying anatomical objects and functional measures requires a new class of analysis methods and tools that makes use of the inherent correlation and causality of repeated acquisitions. This talk will discuss progress in the development of advanced 4-D image and shape analysis methodologies that carry the notion of linear and nonlinear regression, now applied to complex, high-dimensional data such as images, image-derived shapes and structures, or a combination thereof. Methods include joint segmentation of serial 3D data enforcing temporal consistency, building of 4-D models of tissue diffusivity via longitudinal diffusion imaging, and 4-D shape models. We will demonstrate that statistical concepts of longitudinal data analysis such as linear and nonlinear mixed-effect modeling, commonly applied to univariate or low-dimensional data, can be extended to structures and shapes modeled from longitudinal image data. We will show results from ongoing clinical studies such as analysis of early brain growth in subjects at risk for autism, analysis of neurodegeneration in normal aging and Huntington's disease, and quantitative assessment of recovery in severe TBI.
6 March 2017, CAMP Seminar room, 03.13.010, Boltzmannstr. 3 Invited Talk Upul Senanayake, USWA, Diagnosis of Mild Cognitive Impairment (MCI) This talk summarises the work carried out by Upul Senanayake during his PhD? candidature at the University of New South Wales Sydney, Australia. Diagnosis of Mild Cognitive Impairment (MCI), which is a prodromal condition to Dementia, is considered to be an active research area as it holds a high prognosticative value in predicting an individual's progression to Dementia. In this talk, multiple modalities of data is explored and leveraged to improve such predictive efforts including patient data, neuropsychological test scores and multiple imaging modalities such as MRI and PET. A range of machine learning and image processing techniques are used for this purpose. Problems of interest include extracting meaningful data from multiple modalities of data, fusion between multiple modalities of data, leveraging the inherent characteristics of data to improve the performance and visualising the predictive efforts in a meaningful manner for the medical professionals.
21 April 2017, Melbourne, Australia 3rd Best Student Paper Award at ISBI 2017 We are happy to announce that Oliver Zettinig received the 3rd Best Student Paper Award at ISBI 2017 for his work Preconditioned Intensity-Based Prostate Registration using Statistical Deformation Models. Congratulations!
20 December 2016, Santa Rosa, California, USA Paper accepted at WACV 2017 We are happy to announce that our paper got accepted at WACV 2017, Santa Rosa, California, USA on March 24 - 31.
25 October 2016, 4 papers accepted at 3DV 2016 We are happy to announce that 4 of our papers were presented at 3DV 2016. The conference took place at Stanford University, California, USA on October 25 - 28.