scholarly journals Introduction of weighted structural complexity measures for analysis of noisy signals and introduction to nuclear medicine image processing

2002 ◽  
Vol 29 (11) ◽  
pp. 2740-2740
Author(s):  
Björn Poppe
Keyword(s):  
Image Processing ◽  
Nuclear Medicine ◽  
Structural Complexity ◽  
Complexity Measures ◽  
Noisy Signals

scholarly journals Crystal Chemical Relations in the Shchurovskyite Family: Synthesis and Crystal Structures of K2Cu[Cu3O]2(PO4)4 and K2.35Cu0.825[Cu3O]2(PO4)4

Crystals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 807
Author(s):  
Ilya V. Kornyakov ◽  
Sergey V. Krivovichev
Keyword(s):  
Crystal Structure ◽  
Crystal Structures ◽  
Structural Complexity ◽  
Crystal Chemical ◽  
X Ray Diffraction ◽  
Complexity Measures ◽  
X Ray ◽  
The Family ◽  
Similarities And Differences ◽  
Related Compounds

Single crystals of two novel shchurovskyite-related compounds, K2Cu[Cu3O]2(PO4)4 (1) and K2.35Cu0.825[Cu3O]2(PO4)4 (2), were synthesized by crystallization from gaseous phase and structurally characterized using single-crystal X-ray diffraction analysis. The crystal structures of both compounds are based upon similar Cu-based layers, formed by rods of the [O2Cu6] dimers of oxocentered (OCu4) tetrahedra. The topologies of the layers show both similarities and differences from the shchurovskyite-type layers. The layers are connected in different fashions via additional Cu atoms located in the interlayer, in contrast to shchurovskyite, where the layers are linked by Ca2+ cations. The structures of the shchurovskyite family are characterized using information-based structural complexity measures, which demonstrate that the crystal structure of 1 is the simplest one, whereas that of 2 is the most complex in the family.

The role of task sequencing in fluency, accuracy, and complexity: Investigating the SSARC model of pedagogic task sequencing

2018 ◽  
Vol 24 (5) ◽  
pp. 642-665 ◽  
Author(s):  
Aleksandra Malicka
Keyword(s):  
Cognitive Complexity ◽  
Speech Rate ◽  
Structural Complexity ◽  
Simple Complex ◽  
Complexity Measures ◽  
Complex Sequence ◽  
Task Sequencing ◽  
Sequence Versus ◽  
Individual Task

This study set out to test the theoretical premise of the SSARC model of pedagogic task sequencing, which postulates that tasks should be sequenced for learners from cognitively simple to complex. This experiment compared the performance of three tasks differing in cognitive complexity in a simple–complex sequence versus in the absence of any other tasks. There were two groups in the study: (1) participants who performed the three tasks in the simple–complex sequence, and (2) participants who performed either the simple, the complex, or the most complex task. The participants’ speech was analysed using fluency, accuracy, and complexity measures. The results indicate that simple–complex sequencing led to a higher speech rate, greater dysfluency, enhanced accuracy, and greater structural complexity, as compared to individual task performance. The results are discussed in terms of the SSARC model and pedagogical implications of the findings are presented.

scholarly journals Detection of Cardiac Tissues using K-means Analysis Methods in Nuclear Medicine Images

2021 ◽  
Vol 9 (A) ◽  
pp. 1272-1276
Author(s):  
Yousif Abdallah
Keyword(s):  
Image Processing ◽  
Nuclear Medicine ◽  
Nuclear Cardiology ◽  
Detection Rate ◽  
Color Space ◽  
Heart Tissue ◽  
Color Analysis ◽  
Cardiac Tissues ◽  
Analysis Methods ◽  
Cardiac Disorders

BACKGROUND: Nuclear cardiology uses to diagnose the cardiac disorders such as ischemic and inflammation disorders. In cardiac scintigraphy, unraveling closely adjacent tissues in the image are challenging issue. AIM: The aim of the study is to detect of cardiac tissues using K-means analysis methods in nuclear medicine images. This study also aimed to reduce the existence of fleck noise that disturbs the contrast and make its analysis more difficult. METHODS: Thus, digital image processing uses to increase the detection rate of myocardium easily using its color-based algorithms. In this study, color-based K-means was used. The scintographs were converted into color space presentation. Then, each pixel in the image was segmented using color analysis algorithms. RESULTS: The segmented scintograph was displayed in distinct fresh image. The proposed technique defines the myocardial tissues and borders precisely. Both exactness rate and recall reckoning were calculated. The results were 97.3 + 8.46 (p > 0.05). CONCLUSION: The proposed technique offered recognition of the heart tissue with high exactness amount.

Workstation environment for image processing in nuclear medicine

1993 ◽  
Vol 11 (8) ◽  
pp. 522-529 ◽  
Author(s):  
Dirk Tombeur ◽  
Axel Bossuyt ◽  
Frank Deconinck
Keyword(s):  
Image Processing ◽  
Nuclear Medicine

scholarly journals Medical Image Processing Server applied to Quality Control of Nuclear Medicine.

2016 ◽  
Vol 705 ◽  
pp. 012047
Author(s):  
C. Vergara ◽  
J.P. Graffigna ◽  
E. Marino ◽  
S. Omati ◽  
P. Holleywell
Keyword(s):  
Image Processing ◽  
Quality Control ◽  
Nuclear Medicine ◽  
Medical Image ◽  
Medical Image Processing
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