Gliomas are diffuse, invasive brain tumours that originate from a single glial cell and infiltrate through adjacent healthy tissue as the number of tumour cells exponentially increases. The goal of this thesis is to study glioma diffusion and to propose a classification model that would shed some light on glioma growth patterns. We introduce a 3D classification-based diffusion model, CDM, that ...

In this study, we propose a model which may assist in diagnosis of (AD) using T1 weighted MRI brain images. The proposed model involves construction of statistical features from multiple trans-axial slices from hippocampus and amygdala regions, which play a significant role in AD diagnosis. Features from multiple slices are then averaged, which resulted into a smaller set of relevant features. ...

In functional magnetic resonance imaging, voxel time courses after Fourier or non-Fourier "image reconstruction" are complex valued as a result of phase imperfections due to magnetic field inhomogeneities. Nearly all fMRI studies derive functional "activation" based on magnitude voxel time courses [Bandettini, P., Jesmanowicz, A., Wong, E., Hyde, J.S., 1993. Processing strategies for time-cours...

Voxel coloring methods reconstruct a three-dimensional volumetric surface model from a set of calibrated twodimensional photographs taken of a scene. In this paper, we recast voxel coloring as an optimization problem, the solution of which strives to minimize reprojection error, which measures how well projections of the reconstructed scene reproduce the photographs. The reprojection error, def...

We present a new approach to volumetric scene reconstruction which can produce accurate models from turntable image sequences. Instead of an epipolar plane image (EPI) volume, we consider a function on the 4D spatiotemporal volume valued with the intensity back projection of the camera (time) to the particular voxel. Using an optical flow technique we compute the local orientation of this spati...

To assess the effect of various analysis parameters on the sensitivity of event-related fMRI analyses, 36 analyses were performed on a single fMRI data-set, varying parameters along four axes: (1) resampled voxel size; (2) spatial smoothing; (3) temporal smoothing; and (4) the set of basis functions used to model event-related responses. Sensitivity (i.e., the probability of detecting an activa...

This paper proposes a novel method for hand pose estimation that can be used for 3D free-form input interfaces. The aim of the method is to estimate all joint angles to manipulate objects in the virtual space. In this method, the hand regions are extracted from multiple images obtained by the multi-viewpoint camera system. By integrating multi-viewpoint silhouette images, a hand pose is reconst...

We present a probabilistic model applied to the fMRI video rating prediction task of the Pittsburgh Brain Activity Interpretation Competition (PBAIC) [2]. Our goal is to predict a time series of subjective, semantic ratings of a movie given functional MRI data acquired during viewing by three subjects. Our method uses conditionally trained Gaussian Markov random fields, which model both the rel...

This paper presents an error analysis for voxel colarang 12, 31, which is one of the well known methods to reconstruct 3D shape from 2D calibrated multiple-view images. In order to analyze the errors arising in the reconstruction process of voxel coloring algorithms, we first model several noise sources in the analytic or statistical way, and then examine the effects of each noise component on ...