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We present an automatic method to segment brain tissues from volumetric MRI brain tumor images. The method is based on non-rigid registration of an average atlas in combination with a biomechanically justified tumor growth model to simulate soft-tissue deformations caused by the tumor mass-effect. The tumor growth model, which is formulated as a mesh-free Markov Random Field energy minimization problem,...
The present paper introduces extensions to a novel model of tumour induced brain deformation in order to aid non-rigid registration of images displaying brain tumour pathology to a standard reference atlas. The model serves as a bio-physical prior and by that resolves the inherent irregularities that naturally arise in the considered registration problem. The proposed model is formulated in terms...
Establishing correspondences across structural and functional brain images via labeling, or parcellation, is an important and challenging task for clinical neuroscience and cognitive psychology. A limitation with existing approaches is that they i) possess shallow architectures, ii) are based on heuristic manual feature engineering, and iii) assume the validity of the designed feature model. In contrast,...
Recently, we proposed a new diffusion model in nuclear magnetic resonance (NMR) by solving the Bloch-Torrey equation using fractional order calculus with respect to time and space (Magin, RL, et al, J Magn Reson 2008; 190:255-270). This model yields a new set of parameters to describe anomalous diffusion: diffusion coefficient D, fractional order derivative in space ??, and a spatial variable ?? (in...
The development of biomedical sciences and engineering has now evolved to a modern era of system level quantitative biomedicine. The biomedical imaging techniques, such as computer tomography, magnetic resonance imaging and positron emission tomography, have been widely used to obtain physiological information of patients. Among these imaging modalities, PET imaging is capable of retrieving functional...
In this study, forward problem of contactless electrical conductivity imaging is solved by using realistic-head model. Realistic-head model is modelled by a single volume with the ANSYS software and divided into hexahedral elements. Conductivity information for each element is obtained from MR gray-scale images obtained as a result of segmentation.For realistic-head model, a coil of radius 1 cm, 1...
This paper aims to develop and validate an innovative digital model of the human brain for medical applications. This model, or physics-based brain atlas, combines inputs from both medical imaging processing and biomechanics of the brain. Emphasis is given to the validation aspect of this model for which both geometric and biomechanical validation was carried out. Quantitative measurements of the...
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