Jyh-Horng Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jyh-Horng Chen has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Chun-Hung Yeh
Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
2 shared publications - Ching-Po Lin
Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan; Brain Research Center, National Yang-Ming University, Taipei, Taiwan
1 shared publication - Ching-Po Lin
Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
1 shared publication - Jiun-Jie Wang
Healthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan; Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan City, Taiwan; Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Keelung City, Taiwan; Department of Chemical Engineering, Ming-Chi University of Technology, New Taipei City, Taiwan
1 shared publication Kuan-Hung Cho
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
1 shared publicationKuan‐Hung Cho
Interdisciplinary MRI/MRS Laboratory, Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
1 shared publication
Latest Publications
- Open Access
- 26 May 2009
- Published by Wiley in Journal of Magnetic Resonance Imaging
- Vol. 29 (6) , 1386-1394
Potential in reducing scan times of HARDI by accurate correction of the cross-term in a hemispherical encoding scheme
- 26 May 2009
- Published by Wiley in Journal of Magnetic Resonance Imaging
- Vol. 29 (6) , 1386-1394
Open AccessPotential in reducing scan times of HARDI by accurate correction of the cross-term in a hemispherical encoding scheme
- 24 February 2009
- Published by Wiley in Human Brain Mapping
- Vol. 30 (10) , 3172-3187
Probabilistic topography of human corpus callosum using cytoarchitectural parcellation and high angular resolution diffusion imaging tractography
The function of the corpus callosum (CC) is to distribute perceptual, motor, cognitive, learned, and voluntary information between the two hemispheres of the brain. Accurate parcellation of the CC according to fiber composition and fiber connection is of upmost important. In this work, population‐based probabilistic connection topographies of the CC, in the standard Montreal Neurological Institute (MNI) space, are estimated by incorporating anatomical cytoarchitectural parcellation with high angular resolution diffusion imaging (HARDI) tractography. First, callosal fibers are extracted using multiple fiber assignment by continuous tracking algorithm based on q‐ball imaging (QBI), on 12 healthy and young subjects. Then, the fiber tracts are aligned in the standard MNI coordinate system based on a tract‐based transformation scheme. Next, twenty‐eight Brodmann's areas on the surface of cortical cortex are registered to the MNI space to parcellate the aligned callosal fibers. Finally, the population‐based topological subdivisions of the midsagittal CC to each cortical target are then mapped. And the resulting subdivisions of the CC that connect to the frontal and somatosensory associated cortex are also showed. To our knowledge, it is the first topographic subdivisions of the CC done using HARDI tractography and cytoarchitectonic information. In conclusion, this sophisticated topography of the CC may serve as a landmark to further understand the correlations between the CC, brain intercommunication, and functional cytoarchitectures. Hum Brain Mapp 2009.
- 24 February 2009
- Published by Wiley in Human Brain Mapping
- Vol. 30 (10) , 3172-3187
Probabilistic topography of human corpus callosum using cytoarchitectural parcellation and high angular resolution diffusion imaging tractography
The function of the corpus callosum (CC) is to distribute perceptual, motor, cognitive, learned, and voluntary information between the two hemispheres of the brain. Accurate parcellation of the CC according to fiber composition and fiber connection is of upmost important. In this work, population‐based probabilistic connection topographies of the CC, in the standard Montreal Neurological Institute (MNI) space, are estimated by incorporating anatomical cytoarchitectural parcellation with high angular resolution diffusion imaging (HARDI) tractography. First, callosal fibers are extracted using multiple fiber assignment by continuous tracking algorithm based on q‐ball imaging (QBI), on 12 healthy and young subjects. Then, the fiber tracts are aligned in the standard MNI coordinate system based on a tract‐based transformation scheme. Next, twenty‐eight Brodmann's areas on the surface of cortical cortex are registered to the MNI space to parcellate the aligned callosal fibers. Finally, the population‐based topological subdivisions of the midsagittal CC to each cortical target are then mapped. And the resulting subdivisions of the CC that connect to the frontal and somatosensory associated cortex are also showed. To our knowledge, it is the first topographic subdivisions of the CC done using HARDI tractography and cytoarchitectonic information. In conclusion, this sophisticated topography of the CC may serve as a landmark to further understand the correlations between the CC, brain intercommunication, and functional cytoarchitectures. Hum Brain Mapp 2009.