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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/157171


    Title: 全腦代謝影像量測技術開發
    Development of Whole Brain Metabolic Mapping Method
    Authors: 蔡尚岳;林益如
    Contributors: 應物所
    Keywords: 全腦三維掃描;磁共振頻譜影像;代謝訊息;脂肪抑制
    Whole brain 3-dimensional scan;magnetic resonance spectroscopy imaging;metabolic information;lipid suppression
    Date: 2023-03
    Issue Date: 2025-05-29 11:57:05 (UTC+8)
    Abstract: 全腦代謝圖譜的快速掃描，對各種神經科學研究以及精神異常疾病臨床應用相當有幫助，可以將目前代謝訊息侷限在單點位置，延伸到全腦以圖譜方式呈現，具備點對點的受試者間統計分析方法，更可搭配各種功能性或結構性影像資訊，做多數劇的統計分析，相信本計畫所開發的技術，可以讓各種神經科學研究以及精神疾病臨床研究在重要代謝資訊的取得上更方便
    Magnetic resonance spectroscopy (MRS) can be used to detect the chemical compounds in the brain. In many applications, it is desirable to measure and compare metabolic concentrations inside a lesion, near a lesion and in healthy tissue. Therefore, it is of highly interest to apply 3-dimensional magnetic resonance spectroscopic imaging (MRSI) to acquire metabolic information from multiple voxels covering whole brain region. In this way, metabolic information can be easily integrated with information from MRI. However, 3-dimensional whole brain MRSI suffers from serious lipid contamination. Intense subcutaneous lipid signal extended to the inner brain area through the Gibbs ringing cause distortion in the spectral baseline and complicate the metabolite quantification. Further, chemical shift of metabolite also raises issue of chemical shift displacement errors (CSDE) in 3-dimensional MRSI. Metabolic information can be mis-located over several slices. In this project, we aim to develop a fast 3-dimensional fast MRSI sequence, called wssLASER-PESI, using adiabatic RF pulse to minimize CSDE and using echo planar acquisition to fasten acquisition speed. We aim to apply a new post processing lipid suppression algorithm, signal space projection (SSP) algorithm, to the 3-dimensional MRSI. We have recently demonstrated that this SSP method can be an alternative of traditional OVS method in 2-dimensional MRSI, where OVS method is not practical in 3-dimensional MRSI. In the end, we will develop an automatic processing tool for the whole brain fast 3-dimensional MRSI data, which facilitate atlas based analysis and voxel based analysis for whole brain metabolic information. The tool should be convenient for further integration with functional and structural information from MRI.
    Relation: 科技部, MOST108-2314-B004-001-MY3, 108.08-111.07
    Data Type: report
    Appears in Collections:[應用物理研究所 ] 國科會研究計畫

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