This study aims to investigate how CT image pixel size (X-Y) and slice thickness (Z) impact the accuracy of mandibular models. Methods: Six cadaver heads were CT scanned at varying slice thicknesses and pixel sizes and turned into CAD models of the mandible for each scan. The cadaveric ...
Regarding the factors limiting the precision of these measurements, such as voxel-size and image contrast, we find conflicting statements in the literature. It is therefore useful to provide accurate data under well-defined experimental conditions. Here we present a method and associated software to ...
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Recently, as available computational power increased dramatically, pixel/voxel-based ML (PML) emerged in medical image processing/analysis which uses pixel/voxel values in images directly instead of features calculated from segmented regions as input information; thus, feature calculation or segmentation i...
If two voxels project to the same pixel on the image plane, the one that was projected later will prevail, even if it is farther from the image plane than the earlier projected voxel. This problem can be solved by traversing data samples in a back-to-front order. For this algorithm, ...
XRD-CT data provide a three-dimensional map in which each pixel/voxel contains a distinct diffraction pattern, resulting in localized information on crystalline phases in the object. One of weak points of XRD-CT was that measurements usually required a trade-off between spatial and temporal ...
How can I change a voxel value of a Micro CT image series to HU units ? i need to change the voxel value and the header in dicom to use the new dicom in the treatment planning system the linear equation i will be used to change the voxel is ...
Seehttp://www.ctlab.geo.utexas.edu/overview/index.php#anchor3-3"Although CT values should map linearly to the effective attenuation coefficient of the material in each voxel, the absolute correspondence is arbitrary. " In other words, there is no fixed conversion between pixel values and CT ...
MAESTER achieves self-supervised representation learning and segmentation through: (a) patchifying large sample from EM imaging (b) learning patch-level representation through predicting randomly masked region, (c) inferring the representation for the center voxel of ...
好人好报function [ADC,FA,VectorF,DifT]=DTI(DTIdata,parameters) % This function will perform DTI calculations on a certain % DTI dataset.这个函数将在特定的资料数据上完成dti的计算 % % [ADC,FA,VectorF,DifT]=DTI(DTIdata,parameters) % % DTIdata: A struct containing DTIdata(i).VoxelData, ...