In this paper a novel approach for the registration and segmentation of dynamic contrast enhanced renal MR images is presented. This integrated method is motivated by the observation of the reciprocity between registration and segmentation in 4D time-series images. Fully automated Fourier-based registration with sub-voxel accuracy and semi-automated time-series segmentation were intertwined to ...

X-ray Computed Tomography (XCT) has become a common tool for dimensional analysis as it allows non-destructive internal and external measurements. Manufacturers often specify the accuracy of dedicated metrology XCT systems maximum permissible error ( MPE ) statement determined using workpieces, test lengths positions that are significantly different between manufacturers. The VDI/VDE 2630-1.3:2...

We propose displaced signed distance fields, an implicit shape representation to accurately, efficiently and robustly 3D-print finely detailed smoothly curved surfaces at native device resolution. As the resolution accuracy of 3D printers increase, accurate reproduction such becomes increasingly realizable from a hardware perspective. However, representing with polygonal meshes requires high po...

In this paper, a novel spatial feature, namely maximum distance-gradient-magnitude (MDGM), is defined for registration tasks. For each voxel in an image, the MDGM feature encodes spatial information at a global level, including both edges and distances. We integrate the MDGM feature with intensity into a two-element attribute vector and adopt multi-dimensional mutual information as a similarity...

Introduction Validation of findings from in vivo imaging (e.g. MRI) of the prostate requires precise correlation of histopathological information on a voxel-by-voxel basis, with sub-millimeter accuracy in the absence of identifiable anatomic landmarks. A method is developed to register histopathology sections and in vivo MR images of the prostate obtained with a combination of a phased-array an...

Cerebral contour extraction from magnetic resonance (MR) images is a fundamental work to analyze brain MR images. The methods can be roughly classified into three approaches, voxel-based, mesh-based and particle-based. Each method has advantages and disadvantages. Especially, particle based method can extract the complicated sulci with sub-voxel accuracy. The remained work is to develop a metho...

Point cloud classification is a key technology for point applications and feature extraction step towards achieving classification. Although there are many methods, the acquisition of colored data has become easier in recent years, most processing algorithms do not consider color information associated with or make full use information. Therefore, we propose voxel-based local descriptor accordi...

  Objective: The diagnosis of vertical root fracture (VRF) in endodontically treated teeth is a clinical challenge due to lack of specific clinical and radiographic signs. Although radiographic evaluation such as CBCT is helpful, intracanal posts can produce artifacts and may impair the quality of CBCT scans. This study aimed to compare the diagnostic accuracy of different resolutions of CBCT i...

Methods: BOLD fMRI data were acquired during the 0-back and 2-back conditions of a spatial N-back working memory task (see Fig. 1 in [1]) in 366 twins on a 4T Bruker Medspec MRI scanner. Echo Planar Images of all twins were realigned, coregistered with the twin’s 3D T1-weighted scan, spatially normalised in MNI atlas space, smoothed with an 8 mm FWHM Gaussian kernel, and detrended, using SPM5. ...