Extended from superpixel segmentation by adding an additional constraint on temporal consistency, supervoxel segmentation is to partition video frames into atomic segments. In this work, we propose a novel scheme for supervoxel segmentation to address the problem of new and moving objects, where the segmentation is performed on every two consecutive frames and thus each internal frame has two v...

Automatic reconstruction of a complete 3D model of a complex object is presented. The complete 3D model is reconstructed by integrating two 3D models which are reconstructed from different poses of the object. For each pose of the object, a 3D model is reconstructed by combining stereo image analysis, shape from silhouettes, and a volumetric integration technique. Stereo image analysis and shap...

As clinical trials of Neutron Capture Therapy (NCT) are initiated in the U.S. and other countries, new treatment planning codes are being developed to calculate detailed dose distributions in patient-specific models. The thorough evaluation and comparison of treatment planning codes is a critical step toward the eventual standardization of dosimetry, which, in turn, is an essential element for ...

BACKGROUND For the statistical analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data, compartment models are a commonly used tool. By these models, the observed uptake of contrast agent in some tissue over time is linked to physiologic properties like capillary permeability and blood flow. Up to now, models of different complexity have been used, and it is still unclea...

Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared conventional anatomical but also presents limited specificity. To tackle this problem, the DIAMOND model subdivides voxel content into diffusion compartments and draws from diffusion-weighted data estimate compartmental non-central matrix-variate Gamma distribution of tensors, thereby resolving cr...

Recently Rowe and Logan (2004) introduced a complex fMRI activation model in which multiple regressors were allowed, hypothesis tests were formulated in terms of contrasts, and the phase was directly modeled as a fixed unknown quantity which may be estimated voxel by voxel. This model was shown to achieve higher detection power over the usual magnitude-only normal model especially at decreased ...

Abstract PURPOSE Standard clinical magnetic resonance (MR) imaging of glioblastoma (GB) cannot identify malignant infiltration into the peritumoral non-enhancing region. This work implements quantitative MR fingerprinting (MRF) based radiomics to predict infiltrative regions GB. METHODS Pre-operative MRF T1 and T2 maps along with multiparametric (mpMR) images (T1w, T2w, T1w-Gd, FLAIR, ADC) from...