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Image reconstruction algorithm based on light propagation analysis in adult head for near-infrared topography
https://repo.qst.go.jp/records/63810
https://repo.qst.go.jp/records/63810a1df90e7-ff52-4320-95e2-7db0301eb9f9
Item type | 会議発表用資料 / Presentation(1) | |||||
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公開日 | 2010-02-26 | |||||
タイトル | ||||||
タイトル | Image reconstruction algorithm based on light propagation analysis in adult head for near-infrared topography | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
資源タイプ | conference object | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Kawaguchi, Hiroshi
× Kawaguchi, Hiroshi× 川口 拓之 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Near infrared (NIR) topography is an imaging technique to measure the change in blood flow caused by brain activities, noninvasively1). Multiple pairs of irradiation and detection fiber probes are attached on the scalp and measure intensity changes of light diffused by biological tissue. Although applications of the NIR topography are spreading in various fields such as neuroscience, psychiatry and monitoring of neonatal condition, the technical developments are still necessary to achieve further performance. The improvement of the spatial resolution is the fundamental issue to develop the NIR topography. The spatial resolution of conventional NIR topography was limited due to the sparse sampling points and the ambiguity of the sampling volume of detected light caused by the scattering in tissue. The spatial resolution can be partway improved by using the arrangement of fiber probes to make sampling points denser, however, it was revealed this approach has limitation to the improvement 2,3). The authors have developed an image reconstruction algorithm of NIR topography based on the light propagation analysis in adult head to achieve the further spatial resolution enhancement 3). The unmeasurable sampling volume and the sensitivity in the partial regions (spatial sensitivity profile: SSP) was estimated by solving the equations that describe the light propagation in the head model. The SSP estimated was used as the prior knowledge in the image reconstruction procedure. The anatomically sophisticated digital adult head phantom was constructed based on T1-weighted magnetic resonance imaging (MRI) to evaluate the conventional and proposed image reconstruction algorithms with imitating measurements as accurately as possible in virtual space 4). The normalized adult head phantom was constructed to enhance the plasticity of the proposed algorithm, which enables to estimate the approximations of SSP without the anatomical information of the individual subjects 5). The results showed that the proposed algorithm can reconstruct reasonable image without the individual anatomical scan such as MRI. | |||||
会議概要(会議名, 開催地, 会期, 主催者等) | ||||||
内容記述タイプ | Other | |||||
内容記述 | The 13th Conference of Peace through Mind / Brain Science | |||||
発表年月日 | ||||||
日付 | 2010-02-25 | |||||
日付タイプ | Issued |