Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jih-Shian Lee"'
Publikováno v:
IEEE Transactions on Nuclear Science. 56:704-714
The aim of this study was to improve image quality of statistical reconstruction by using the 2-D system matrix (SM) trained with an artificial neural network (ANN). For training the ANN SM (SMANN), the inputs of ANN, the digital images, were generat
Publikováno v:
Physics in Medicine and Biology. 54:1823-1846
Medical images usually suffer from a partial volume effect (PVE), which may degrade the accuracy of any quantitative information extracted from the images. Our aim was to recreate accurate radioactivity concentration and time-activity curves (TACs) b
Autor:
Yuan Hwa Chou, Bang Hung Yang, Jih-Shian Lee, Shyh-Jen Wang, Tung Ping Su, Jyh Cheng Chen, Shih-Pei Chen
Publikováno v:
Computer Methods and Programs in Biomedicine. 92:294-298
The serotonin (5-hydroxytryptamine, or 5-HT) transporters (5-HTT) are target-sites for commonly used antidepressants. [(123)I] ADAM is a novel radiotracer that selectively binds the 5-HTT of the central nervous system. The aim for this study was to c
Autor:
T.C. Wang, Yi Hsiang Huang, Chen Chang Yang, M.H. Lin, Tung Hsin Wu, Wan-Yuo Guo, C.L. Chen, W.H. Yin, Jih-Shian Lee
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 569:240-244
We present a system of image co-registration in small animal study. Marker-based registration is chosen because of its considerable advantage that the fiducial feature is independent of imaging modality. We also experimented with different scanning p
Autor:
Chi-Wei Chang, Ren Shyan Liu, Jay S. Chen, Kuan-Hao Su, Yuan-Hwa Chou, Chi-Min Hu, Jih-Shian Lee, Jyh Cheng Chen
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 35(5)
The objective of this study was to use a mixture of Poisson (MOP) model expectation maximum (EM) algorithm for segmenting microPET images. Simulated rat phantoms with partial volume effect and different noise levels were generated to evaluate the per
Autor:
Jun-Cheng Lin, Kuan-Hao Su, Ho-Shiang Chueh, Ren Shyan Liu, Jih-Shian Lee, Shyh-Jen Wang, Ya-Ting Chuang, Jyh Cheng Chen
Publikováno v:
Medical Imaging and Informatics ISBN: 9783540794899
MIMI
MIMI
The term input function usually refers to the tracer plasma time activity curve (pTAC), which is necessary for quantitative positron emission tomography (PET) studies. The purpose of this study was to acquire the pTAC from the independent component a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97d33d8048924424cc13880866ad7c58
https://doi.org/10.1007/978-3-540-79490-5_22
https://doi.org/10.1007/978-3-540-79490-5_22
Autor:
Kuan-Hao Su, Ren-Shyan Liu, Ya-Ting Chuang, Jun-Cheng Lin, Shyh-Jen Wang, Jyh Cheng Chen, Jih-Shian Lee, Ho-Shiang Chueh
Publikováno v:
Computer methods and programs in biomedicine. 92(3)
The term input function usually refers to the tracer plasma time activity curve (pTAC), which is necessary for quantitative positron emission tomography (PET) studies. The purpose of this study was to acquire the pTAC by independent component analysi
Publikováno v:
2007 IEEE Nuclear Science Symposium Conference Record.
In this work, we validate the application of GATE (Geant4 Application for Tomographic Emission) Monte Carlo simulation software to model a GE eXplore VISTA small animal PET system. GATE was used to build our three-dimensional PET simulation model. Th
Publikováno v:
2007 IEEE Nuclear Science Symposium Conference Record.
The aim of this study was to improve image quality of statistical reconstruction by using the system matrix (SM) which was trained with artificial neural network (ANN). For training the ANN SM, six input and desired output pairs were generated. The i
Publikováno v:
2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).
Current analytical techniques applied to functional MRI (fMRI) data may be generally divided into two parts: univariate and multivariate techniques. It is therefore our attempt to evaluate and intercompare their respective algorithms on simulated and