An interaction-asymptotic region decomposition method for general state-to-state reactive scatterings

2019 ◽  
Vol 150 (13) ◽  
pp. 134105 ◽  
Author(s):  
Hailin Zhao ◽  
Umair Umer ◽  
Xixi Hu ◽  
Daiqian Xie ◽  
Zhigang Sun
Keyword(s):  
Decomposition Method ◽  
Asymptotic Region ◽  
General State

A decomposition method in non-linear programmm

Optimization ◽  
1975 ◽  
Vol 6 (4) ◽  
pp. 549-559
Author(s):  
L. Gerencsér
Keyword(s):  
Decomposition Method ◽  
Non Linear

Bone Marrow Scintigraphy in Patients Treated with Chemotherapy and/or Radiotherapy

1977 ◽  
Vol 16 (02) ◽  
pp. 86-88
Author(s):  
V. Foltýnová ◽  
E. Vétrovcová ◽  
E. Tichá ◽  
J. Brousil
Keyword(s):  
Bone Marrow ◽  
Hodgkin's Disease ◽  
Hodgkin’S Disease ◽  
Detailed Knowledge ◽  
General State ◽  
Bone Marrow Scintigraphy ◽  
Indium 111

SummaryBone marrow scintigraphy after the application of indium 111 In was compared with the results of bone marrow puncture in 18 patients with Hodgkin's disease treated with radiotherapy and/or chemotherapy. Agreement was found in 85% of the cases. When the results of bone marrow puncture were compared with the general state of haemopoiesis estimated scintigraphically agreement was found in only 65%. Bone marrow scintigraphy gives a more detailed knowledge of the general state of haemopoiesis and serves as a guide for the control of therapy with cytostatics and/or irradiation.

DECOMPOSITION METHOD FOR DETERMINING THE HIGH REFLECTED SECTIONS OF A COMPLEX OBJECT SURFACE

2018 ◽  
Vol 77 (11) ◽  
pp. 945-956 ◽  
Author(s):  
N. N. Kolchigin ◽  
M. N. Legenkiy ◽  
A. A. Maslovskiy ◽  
А. Demchenko ◽  
S. Vinnichenko ◽  
...  
Keyword(s):  
Decomposition Method ◽  
Complex Object ◽  
Object Surface

A Spectrum-Adaptive Decomposition Method for Effective Atomic Number Estimation Using Dual Energy CT

2020 ◽  
Vol 2020 (14) ◽  
pp. 293-1-293-7
Author(s):  
Ankit Manerikar ◽  
Fangda Li ◽  
Avinash C. Kak
Keyword(s):  
Atomic Number ◽  
Decomposition Method ◽  
Traditional Approach ◽  
Effective Atomic Number ◽  
Dual Energy ◽  
Performance Comparison ◽  
Estimation Methods ◽  
Dual Energy Ct ◽  
Projection Data ◽  
X Ray

Dual Energy Computed Tomography (DECT) is expected to become a significant tool for voxel-based detection of hazardous materials in airport baggage screening. The traditional approach to DECT imaging involves collecting the projection data using two different X-ray spectra and then decomposing the data thus collected into line integrals of two independent characterizations of the material properties. Typically, one of these characterizations involves the effective atomic number (Zeff) of the materials. However, with the X-ray spectral energies typically used for DECT imaging, the current best-practice approaches for dualenergy decomposition yield Zeff values whose accuracy range is limited to only a subset of the periodic-table elements, more specifically to (Z < 30). Although this estimation can be improved by using a system-independent ρe — Ze (SIRZ) space, the SIRZ transformation does not efficiently model the polychromatic nature of the X-ray spectra typically used in physical CT scanners. In this paper, we present a new decomposition method, AdaSIRZ, that corrects this shortcoming by adapting the SIRZ decomposition to the entire spectrum of an X-ray source. The method reformulates the X-ray attenuation equations as direct functions of (ρe, Ze) and solves for the coefficients using bounded nonlinear least-squares optimization. Performance comparison of AdaSIRZ with other Zeff estimation methods on different sets of real DECT images shows that AdaSIRZ provides a higher output accuracy for Zeff image reconstructions for a wider range of object materials.

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