Measurements of computed tomography x-ray fields utilizing the partial volume effect

1980 ◽  
Vol 7 (4) ◽  
pp. 379-382 ◽  
Author(s):  
Robert A. Jucius ◽  
George X. Kambic
Keyword(s):  
Computed Tomography ◽  
Volume Effect ◽  
Partial Volume Effect ◽  
X Ray ◽  
Partial Volume

scholarly journals Evaluation of Porosity and Its Variation in Porous Materials Using Microfocus X-ray Computed Tomography Considering the Partial Volume Effect

2013 ◽  
Vol 54 (9) ◽  
pp. 1678-1685 ◽  
Author(s):  
Masaji Kato ◽  
Manabu Takahashi ◽  
Satoru Kawasaki ◽  
Toshifumi Mukunoki ◽  
Katsuhiko Kaneko
Keyword(s):  
Computed Tomography ◽  
Porous Materials ◽  
Volume Effect ◽  
Partial Volume Effect ◽  
X Ray ◽  
Partial Volume ◽  
X Ray Computed

scholarly journals Ventricle Boundary in CT: Partial Volume Effect and Local Thresholds

2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Ihar Volkau ◽  
Fiftarina Puspitasari ◽  
Wieslaw L. Nowinski
Keyword(s):  
Computed Tomography ◽  
Cerebrospinal Fluid ◽  
Grey Matter ◽  
Ground Truth ◽  
Gaussian Mixture ◽  
Volume Effect ◽  
Partial Volume Effect ◽  
Partial Volume ◽  
Image Histogram ◽  
Global Threshold

We present a mathematical frame to carry out segmentation of cerebrospinal fluid (CSF) of ventricular region in computed tomography (CT) images in the presence of partial volume effect (PVE). First, the image histogram is fitted using the Gaussian mixture model (GMM). Analyzing the GMM, we find global threshold based on parameters of distributions for CSF, and for the combined white and grey matter (WGM). The parameters of distribution of PVE pixels on the boundary of ventricles are estimated by using a convolution operator. These parameters are used to calculate local thresholds for boundary pixels by the analysis of contribution of the neighbor pixels intensities into a PVE pixel. The method works even in the case of an almost unimodal histogram; it can be useful to analyze the parameters of PVE in the ground truth provided by the expert.

The nonlinear partial volume effect and computed tomography densitometry of foam and lung

1995 ◽  
Vol 22 (9) ◽  
pp. 1445-1450 ◽  
Author(s):  
Gerrit J. Kemerink ◽  
Rob J. S. Lamers ◽  
Guillaume R. P. Thelissen ◽  
Jos M. A. van Engelshoven
Keyword(s):  
Computed Tomography ◽  
Volume Effect ◽  
Partial Volume Effect ◽  
Partial Volume

scholarly journals Optimization-based algorithm for solving the discrete x-ray transform with nonlinear partial volume effect

2020 ◽  
Vol 7 (05) ◽  
Author(s):  
Buxin Chen ◽  
Xin Liu ◽  
Zheng Zhang ◽  
Dan Xia ◽  
Emil Y. Sidky ◽  
...  
Keyword(s):  
Volume Effect ◽  
Partial Volume Effect ◽  
X Ray ◽  
Partial Volume ◽  
Ray Transform
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