Dendrite material identification method using fractal analysis

Author(s):  
Cs. Dominkovics ◽  
G. Harsanyi
2017 ◽  
Vol 23 (4) ◽  
Author(s):  
Licheng ZHU ◽  
Pengfei LI ◽  
Kai LIU ◽  
Xi CHEN ◽  
Gengchen SHI

2017 ◽  
Vol 124 ◽  
pp. 16-26 ◽  
Author(s):  
Natsumi Kimoto ◽  
Hiroaki Hayashi ◽  
Takashi Asahara ◽  
Yoshiki Mihara ◽  
Yuki Kanazawa ◽  
...  

2021 ◽  
Vol 67 (7) ◽  
pp. 2031-2043
Author(s):  
Boyang Nie ◽  
Lei Yang ◽  
Fei Zhao ◽  
Jinsong Zhou ◽  
Juanjuan Jing

Author(s):  
Hiroaki Hayashi ◽  
Natsumi Kimoto ◽  
Takashi Asahara ◽  
Takumi Asakawa ◽  
Cheonghae Lee ◽  
...  

2021 ◽  
Vol 36 (4) ◽  
pp. 289-297
Author(s):  
Seong Seok Choi ◽  
◽  
Yong Bae Seo ◽  
Jong-Oh Kim ◽  
Ji-Young Yang ◽  
...  

2000 ◽  
Vol 39 (02) ◽  
pp. 37-42 ◽  
Author(s):  
P. Hartikainen ◽  
J. T. Kuikka

Summary Aim: We demonstrate the heterogeneity of regional cerebral blood flow using a fractal approach and singlephoton emission computed tomography (SPECT). Method: Tc-99m-labelled ethylcysteine dimer was injected intravenously in 10 healthy controls and in 10 patients with dementia of frontal lobe type. The head was imaged with a gamma camera and transaxial, sagittal and coronal slices were reconstructed. Two hundred fifty-six symmetrical regions of interest (ROIs) were drawn onto each hemisphere of functioning brain matter. Fractal analysis was used to examine the spatial heterogeneity of blood flow as a function of the number of ROIs. Results: Relative dispersion (= coefficient of variation of the regional flows) was fractal-like in healthy subjects and could be characterized by a fractal dimension of 1.17 ± 0.05 (mean ± SD) for the left hemisphere and 1.15 ± 0.04 for the right hemisphere, respectively. The fractal dimension of 1.0 reflects completely homogeneous blood flow and 1.5 indicates a random blood flow distribution. Patients with dementia of frontal lobe type had a significantly lower fractal dimension of 1.04 ± 0.03 than in healthy controls. Conclusion: Within the limits of spatial resolution of SPECT, the heterogeneity of brain blood flow is well characterized by a fractal dimension. Fractal analysis may help brain scientists to assess age-, sex- and laterality-related anatomic and physiological changes of brain blood flow and possibly to improve precision of diagnostic information available for patient care.


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