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1.
Chinese Acupuncture & Moxibustion ; (12): 709-712, 2014.
Artigo em Chinês | WPRIM | ID: wpr-318500

RESUMO

Three-Layer thought is an important proposition in Chinese traditional philosophy. This thought embodies the Chinese people's cosmology and methodology and exerts a far-reaching influence on various aspects of Chinese culture. The embodiment of Three-Layer thought in the theory and practice of acupuncture and moxibustion from naming of acupoints, principles of treatment, needling instruments, prescription of acupoints as well as needling techniques is elaborated and briefly analyzed. Thus it illustrates the comprehensive application of Three-Layer thought in acupuncture and moxibustion through the history and the significance of Chinese traditional philosophy in the science of acupuncture and moxibustion.


Assuntos
Humanos , Acupuntura , História , Métodos , China , Cultura , História Antiga , Medicina na Literatura , Moxibustão , História , Métodos
2.
Journal of Southern Medical University ; (12): 325-328, 2007.
Artigo em Chinês | WPRIM | ID: wpr-298174

RESUMO

<p><b>OBJECTIVE</b>To improve Bayesian reconstruction of positron-emission tomography (PET) images by devising a novel coupled feedback (CF) iterative model.</p><p><b>METHODS</b>The CF iterative algorithm was applied to update the noisy detected emission sinogram data using the latest reconstructed image in the iterative process of PET reconstruction. The relevant operations included linear filtering, wiener filtering, and projection of the reconstructed images. The sinogram data used in the study was obtained from simulated phantom data.</p><p><b>RESULTS</b>The experiments and corresponding visional and quantitative comparisons showed that the new method had better performance than the traditional Bayesian reconstruction of PET images for improvement of the PET images.</p><p><b>CONCLUSIONS</b>The proposed sinogram-correcting method allows improvement on the original measurement data, and is applicable for PET image reconstruction or other reconstruction tasks with high noise level.</p>


Assuntos
Humanos , Algoritmos , Teorema de Bayes , Processamento de Imagem Assistida por Computador , Métodos , Modelos Teóricos , Tomografia por Emissão de Pósitrons , Métodos
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