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dc.contributor.authorChuang, Ching-Chengen_US
dc.contributor.authorWang, Pei-Ningen_US
dc.contributor.authorChen, Wei-Taen_US
dc.contributor.authorLan, Tsuo-Hungen_US
dc.contributor.authorChen, Chung-Mingen_US
dc.contributor.authorHsieh, Yao-Shengen_US
dc.contributor.authorWang, Chun-Yangen_US
dc.contributor.authorSun, Chia-Weien_US
dc.date.accessioned2014-12-08T15:23:57Z-
dc.date.available2014-12-08T15:23:57Z-
dc.date.issued2012-05-01en_US
dc.identifier.issn1077-260Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/16665-
dc.description.abstract"The symptom of brain volumetric changes may provide significant biomarker to predict progressive dementia. The brain volumetric changes of prefrontal cortex are highly associated with many neurodegenerative diseases. Besides, brain atrophy reveals the expanded interhemispheric fissure and the concomitant increasing cerebrospinal fluid volume. Thus, the quantitative assessment of brain volumetric changes is an important consideration for clinical studies of neurodegenerative diseases. In this study, we first proposed an approach that uses near-infrared brain volumetric imaging to detect brain volumetric changes. The healthy, aged, and typical Alzheimer's disease (AD) brains were modeled with different characterization of brain volumetric changes from in vivo MRI data based on time-resolved 3-D Monte Carlo simulation. In the results, the significant difference of prefrontal cortex structure can be observed among healthy, aged, and AD brain with various source-detector separations in sagittal view. Our study shows that the near-infrared brain volumetric imaging can be an indicator of brain atrophy for clinical application of neurodegenerative diseases with patient-oriented measurement."en_US
dc.language.isoen_USen_US
dc.subjectBrain atrophyen_US
dc.subjectbrain volumetric imaging (BVI)en_US
dc.subjectdiffuse optical imaging (DOI)en_US
dc.subjectMonte Carlo simulationen_US
dc.subjectnear-infrared spectroscopy (NIRS)en_US
dc.subjectprefrontal cortexen_US
dc.titleNear-Infrared Brain Volumetric Imaging Method: A Monte Carlo Studyen_US
dc.typeArticleen_US
dc.identifier.journalIEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICSen_US
dc.citation.volume18en_US
dc.citation.issue3en_US
dc.citation.epage1122en_US
dc.contributor.department光電工程學系zh_TW
dc.contributor.departmentDepartment of Photonicsen_US
dc.identifier.wosnumberWOS:000306524300010-
dc.citation.woscount1-
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