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團隊成員
研究亮點
研究成果

神經影像團隊

陳震宇 副院長

陳震宇 教授

  • 團隊召集人

專長:

  • 神經及頭頸部影像診斷、小兒神經放射診斷學、一般放射診斷學、磁振照影

TMU profile   Publications


張剛瑋 教授

張剛瑋 副研究員

專長:

  • 小放射性同位素(碘-123、124與氟-18)標幟、分離純化 (HPLC and gel chromatograph)y與品管分析 (radio HPLC and radio TLC),得到可供前臨床試驗使用之放射性製劑
  • 實驗動物毒理試驗 (一般毒理、皮膚毒理、遺傳毒理)與代謝物分析 (血液、生化、尿液)
  • 放射性物質於實驗動物之體外(in vitro)、體內(in vivo)與體表外(ex vivo)試驗
  • 組織冷凍、石蠟包埋與切片,俾探討藥物於活體之確切分布
  • 腦中樞神經疾病動物模式 (stroke、parkinson disease animal model)
  • 核醫分子影像醫學 (PET、SPECT image)

 

TMU profile   Publications


陳彥廷 副主任

陳彥廷 助理教授

專長:

  • 傳統X光片及磁振造影診斷報告製作、電腦斷層診斷報告製作、切片及引流、乳房攝影診斷報告製作、切片定位、骨質密度結果判讀、超音波診斷報告製作(頸部、乳房、腹部等)切片、引流、血管攝影檢查報告製作、急性缺血性中風之動脈取栓、AI研究

TMU profile   Publications


陳永介 住治醫師

陳永介 助理教授

專長:

  • 神經及頭頸部影像診斷、一般放射診斷學、介入性放射學、電腦斷層及磁振造影

 

TMU profile   Publications


鄭碩仁 主任

鄭碩仁 主任

專長:

  • 醫學影像判讀、神經介入性治療

 

TMU profile   Publications


謝立群 副教授

謝立群 副教授

專長:

  • 神經及頭頸部影像診斷、一般放射診斷學、磁振造影、介入性神經放射線手術、介入性放射線手術、影像導引疼痛控制手術

 

TMU profile   Publications


李宜恬 助理研究員

李宜恬 副研究員

專長:

  • 核磁共振神經影像、認知神經科學、人工智慧演算法

 

 

TMU profile   Publications


呂岳勛 主任

呂岳勳 主任

專長:

  • 介入性神經血管內治療術、急性缺血性中風之動脈取栓、傳統X光片及磁振造影診斷報告製作、電腦斷層診斷報告製作、切片及引流、腫瘤栓塞/熱射頻腫瘤治療、急性出血性栓塞、AI研究
     

TMU profile   Publications


團隊成員順序依英文姓名排序

神經影像團隊

神經影像團隊建立了多個動物實驗和臨床試驗的影像平台,以促進醫學影像研究。通過精密設計的實驗儀器和實驗室動物模型來結合影像研究和染色技術,神經影像團隊還可以透過影像結果來幫助醫生澄清臨床病理和疾病診斷。

與此同時,神經影像團隊透過遺傳學、細胞生物學和分子生物學實驗來觀察神經訊號對疾病調節和藥理學的各種機制。對於臨床試驗而言,心理生理評估可以反映患者發病後的精神狀態和社會功能,作為疾病的重要預後指標。

研究的目標是開發更有效的醫學影像標記,用於疾病的早期診斷和預後評估。利用非侵入性的醫學影像定量模型,我們可以建立一個有效的篩選平台,用於評估藥物及治療的效果。該研究領域涉及遺傳學和細胞研究、動物實驗以及對人體受試者的研究。團隊的先進技術有助於找出有效的生物標記、新藥研發以及轉譯醫學研究。除了醫學影像的技術發展外,其應用還將支持四種主要神經疾病的診斷和治療。

團隊旨在整合台北醫學大學醫學影像相關研究團隊,建立先進的影像設施,為影像研究提供諮詢,開發先進的影像和分析技術,在培養人才的同時促進醫學影像的發展。

研究重點為神經疾病之轉譯影像研究,結合中心成員之不同專長能力,已成立五個核心實驗室:

  • 奈米分子影像實驗室
  • 7T動物影像實驗室
  • 3T臨床腦功能影像實驗室
  • 神經影像生物標記分析實驗室
  • 正子磁振造影實驗室

這些實驗室貫串轉譯影像研究從基因、細胞、動物至人體研究所需之不同層面。

目前的研究領域包括:

膠質母細胞瘤

研究將探討腫瘤磁振造影的異質性,並研究其與基因突變的關聯性。膠質母細胞瘤細胞培養具有特定的遺傳信息,包括腫瘤形成、血管生成以及與DNA損傷和修復相關的基因。此外,將在7T MRI上建立多形性膠質母細胞瘤動物模型,並將相同的方法應用於3T磁振造影對受試者的影像研究。

同時,可以通過DNA微陣列實驗獲得膠質母細胞瘤的基因突變信息,並將不同基因組的多形性膠質母細胞瘤的分子表現與磁振造影的生物標記進行比較。透過基因組資訊和磁振造影影像的結合應用,可以更好地監測治療反應並預測預後效果。

缺血性中風

缺血性中風的治療效果不僅取決於血流的恢復,還取決於中風後可能未受損的神經元的數量。腦血管意外發生後的4.5小時內通常是治療的關鍵時間。因此,確定中風發作時間、定位病變位置以及準確評估腦組織是否進行治療干預或注射溶栓藥物之前需要考慮的重要因素。

目前已有許多相關研究提出缺血半影區可能保存神經元的位置。此外,其面積和大小可視為藥物治療療效的預測因子。Diffusion tensor image(DTI)和perfusion weighted imaging(PWI)通常被用於評估缺血半影區。

我們的研究結果表明,DTI計算的多個參數可以作為評估缺血半影區和估計缺血性中風發病時間的有效指標。這些指標已在大鼠中風模型中進行了測試和驗證。目前,實驗室研究成果在人體受試者的研究方面也取得了進展。DTI的可用性將為臨床醫生診斷和治療缺血性腦中風提供新的機會。

輕度創傷性腦損傷

輕度創傷性腦損傷定義為衝擊加速力引起的創傷性白質損傷,可能導致腦功能或病理改變。大多數研究報告均在群組平均的結果上,幾乎沒有提供有關誰可能會長期出現神經認知症狀或是哪些特徵能代表疾病進程中的結構或功能改變。由於缺乏對輕度腦創傷後軸突和髓鞘變化敏感且定量的量測工具,人們對輕度腦創傷後長期持續的神經認知症狀和缺陷的白質病理特徵的進程知之甚少。我們希望能夠檢測輕度腦創傷患者的髓鞘分佈和密度。從這些定量磁振影像參數圖得出的值為真實定量且與儀器廠牌等無關的量化值,這有助於對輕度腦創傷患者進行個體的縱向評估。

骨質疏鬆症

骨質疏鬆症是一種代謝性骨疾病,其特徵在於骨質密度(bone mineral density)低和骨折發生率高。潛在的骨質疏鬆症會導致骨折與死亡風險升高。骨質流失是骨質疏鬆症的關鍵特徵之一,通常利用測量骨質密度來診斷。雙能量 X 光吸收儀(dual energy x-ray absorptiometry)是評估骨質密度的最廣泛使用的方法,可以獲得各種骨骼部位的骨質密度數據。臨床上,骨質疏鬆症的診斷主要依據從腰椎獲得的骨質密度。另一方面,腰椎核磁共振掃描(Magnetic Resonance Imaging)無游離輻射, 通常用來診斷病人下背痛的原因。核磁共振掃描具影像高解析度與脂肪定量技術,可偵測骨微結構(bone microstructure)與骨髓(bone marrow)成分,因此有研究建議可以用核磁共振掃描做為檢測骨質疏鬆症患者的工具。紋理分析(texture analysis)可以辨別人眼無法識別的圖像異質性,且初步證明圖像紋理中具有潛在的診斷價值。這種方法是基於數學方式來評估圖像中像素的灰階強度和位置,提供了代表異質性定量度量的“紋理特徵”。

研究計畫

  • 1. MOST Title: An Artificial Intelligence System for Precision Lung Cancer Based on Clinical Big Data
    Project Period: 2020.07.01 ~ 2024.06.30

    2. 經濟部科研成果價值創造計畫:「胸腔深度學習:人工智慧多模影像精準健康平台計畫」
    Project Period: 2023.01.01 ~ 2023.12.31

    3. NHRI Title: Develop IL-19 antibody immunotherapy and unravel immunosuppressive mechanism in peritumoral region of glioblastoma by single cell transcriptome analysis
    Project Period: 2023.01.01 ~ 2023.12.31

    4. MOST Title: Building a national model of data hub for healthy aging
    Project Period: 2021.11.01 ~ 2023.10.31

    5. MOST Title: Machine Learning-Based Radiogenomics for Connecting Mr Imaging to Immune-Regulated Genes Expression in Glioblastoma
    Project Period: 2019.08.01 ~ 2022.07.31

    6. NHRI Title: Multi-site Radiogenomics and Radioproteomics of gliomas
    Project Period: 2019.01.01 ~ 2020.12.31

    7. MOST Title: Construction and Application of Medical Image Database in TMU Healthcare System
    Project Period: 2017.12.01 ~ 2020.11.30

    8. MOST Title: Mri Study on Trans-Neuronal Degeneration of the Thalamic Networks after Ischemic Stroke
    Project Period: 2016.08.01 ~ 2019.10.01

    9. MOST Title: Characterization of Thalamocortical Dysrhythmia in Mild Traumatic Brain Injury Using Simultaneous Mri and Eeg Measurements and Pre-Clinical N-Acetylcysteine Treatment Response
    Project Period: 2015.08.01 ~ 2018.07.31

    10. MOST Title: Radiogenomics of Malignant Gliomas by Linking Physiological Mr Imaging, Histopathological Patterns, and Genetic Alternations: a Translational Study from Rat to Man
    Project Period: 2015.08.01 ~ 2018.07.31

    11. MOST – International Cooperation with NIH Title: Characterization of Thalamocortical Dysrhythmia in Mild Traumatic Brain Injury using Simultaneous MRI and EEG Measurements and Preclinical N-acetylcysteine Treatment Response
    Project Period: 2015.08.01 ~ 2018.07.31

    12. MOST Title: Radiogenomics of Malignant Gliomas by linking Physiological MR Imaging, Histopathological patterns, and Genetic alternations: A Translational study from Rat to Man
    Project Period: 2015.08.01 ~ 2018.07.31

    13. MOST Title: Motion-Sensitive MR Imaging in Characterizing Brain Compliance in Cerebral Venous Hypertension: A Translational Study between Humans and Rats
    Project Period: 2015.08.01 ~ 2018.07.31

    14. MOST Title: Restoration of Thalamocortical Oscillation as a Potential Treatment for mTBI: a Small Animal MRI Research
    Project Period: 2015.08.01 ~ 2018.07.31

    15. CECR Title: Advanced MR Imaging Evaluation of Primary Brain Tumor Extent and Response to Treatment
    Project Period: 2015.04.01 ~ 2016.03.31

    16. TMU Title: MR molecular imaging biomarker for treatment response prediction of metastatic lung cancer in brain: A mice model
    Project Period: 2015.04.01 ~ 2016.03.31

    17. TMU Title: Role of cerebrovenous system in intracranial compliance
    Project Period: 2014.01.01 ~ 2015.12.31

    18. MOHW Title: Advanced MR imaging evaluation of primary brain tumor extent and response to Treatment
    Project Period: 2014.01.01 ~ 2017.12.31

    19. MOST Title: A study on trans-neuronal striato-nigral degeneration-induced movement disorders after stroke: Evaluation with grey matter suppression IR and diffusion tensor imaging
    Project Period: 2012.08.01 ~ 2015.07.31

    20. MOST Title: A study of diffusion tensor imaging as a potential surrogate marker for the management of acute ischemic cerebral stroke: A clinical and animal model at 7T
    Project Period: 2011.08.01 ~ 2014.10.31

    21. MOST Title: Pseudoresponse to Bevacizumab treatment in rat glioma: A quantitative study using magnetic nanoparticle targeting method at 7T MRI
    Project Period: 2014.11.01 ~ 2015.10.31

發表論文

  • 1. Lee, G.A., Hsu, J.B.-K., Chang, Y.-W. and 18 more (...) (2025). IL-19 as a promising theranostic target to reprogram the glioblastoma immunosuppressive microenvironment. Journal of Biomedical Science, 32(1)
  • 2. Yueh, P.-F., Chiang, I.-T., Weng, Y.-S. and 7 more (...) (2025). Innovative dual-gene delivery platform using miR-124 and PD-1 via umbilical cord mesenchymal stem cells and exosome for glioblastoma therapy. Journal of Experimental and Clinical Cancer Research, 44(1)
  • 3. Chen, J.-H., Su, I.-C., Lu, Y.-H. and 25 more (...) (2025). Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry. Journal of Stroke, 27(1) 85–94
  • 4. Kuo, D.-P., Chen, Y.-C., Cheng, S.-J. and 5 more (...) (2025). A vision transformer-convolutional neural network framework for decision-transparent dual-energy X-ray absorptiometry recommendations using chest low-dose CT. International Journal of Medical Informatics, 199
  • 5. Lee, G.A., Chang, Y.-W., Lai, J.-H. and 11 more (...) (2025). CCN1 Is a Therapeutic Target for Reperfused Ischemic Brain Injury. Translational Stroke Research, 16(4) 1044–1061
  • 6. Sharma, P.K., Loganathan, D., Chen, M.-L. and 3 more (...) (2025). Cognitive dynamics of drug-mediated zebrafish under sound stimuli in a microfluidic environment. Biomicrofluidics, 19(3)
  • 7. Lai, C.-C., Chen, C.-Y., Chang, T.-H. (2025). Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study. JMIR Cancer, 11
  • 8. Zhang, Y.-R., Lu, Y.-H., Lin, C.-M. and 1 more (...) (2025). Pretreatment CT Texture Analysis for Predicting Survival Outcomes in Advanced Nonsmall Cell Lung Cancer Patients Receiving Immunotherapy: A Systematic Review and Meta-Analysis. Thoracic Cancer, 16(15)
  • 9. Chiang, C.-H., Liu, C.-C., Weng, C.-L. and 3 more (...) (2025). DWI-ADC mismatch predicts infarct growth rate and endovascular thrombectomy outcomes in anterior circulation stroke. Journal of NeuroInterventional Surgery
  • 10. Sharma, P.K., Wei, P.-W., Loganathan, D. and 2 more (...) (2025). Microflow Switching using Artificial Cilia for On-Demand Particle Manipulation. Advanced Intelligent Systems, 7(11)
  • 11. Huang, Y.-C., Lu, Y.-H., Ting, W.-Y. (2025). Ultrasound-guided vs. Non-ultrasound-guided femoral artery puncture techniques: a comprehensive systematic review and meta-analysis. Ultrasound Journal, 17(1)
  • 12. Chen, K.-C., Li, Y.-T., Li, T.-Y. and 3 more (...) (2025). CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data. 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025 - Workshop Proceedings
  • 13. Chang, Y.-C., Hsiao, S.-H., Yeh, W.-C. and 3 more (...) (2025). Extracting critical clinical indicators and survival prediction of lung cancer from pathology reports using large language models. Computers in Biology and Medicine, 195
  • 14. Yeh, A.Y., Chang, D., Wang, P. and 8 more (...) (2026). Artificial intelligence for early detection of pancreatic cancer in prediagnostic and diagnostic computed tomography examinations: A multicenter retrospective case-control study. Diagnostic and Interventional Imaging
  • 15. Lin, M.-H., Ni, C.-F., Chiang, H.-J. and 12 more (...) (2025). Optimal Timing of Percutaneous Cholecystostomy across Different Grades of Acute Cholecystitis: A Retrospective Cohort Study. Journal of Vascular and Interventional Radiology, 36(7) 1105–1112.e2
  • 16. Huang, B.-H., Kuo, P.-C., Huang, L. and 2 more (...) (2025). Explainable Detection of Alzheimer's Disease Through Analysis of Human Behavior in Video. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
  • 17. Yang, C.-C., Huang, K.-Y., Hsu, J.-L. and 3 more (...) (2025). Effects of intermittent theta-burst stimulation on cognition and glymphatic system activity in mild cognitive impairment and very mild Alzheimer’s disease: a randomized controlled trial. Journal of NeuroEngineering and Rehabilitation, 22(1)
  • 18. Li, Y.-T., Chen, D.Y.-T., Kuo, D.-P. and 5 more (...) (2025). Postconcussive Sleep Problems and Glymphatic Dysfunction Predict Persistent Working Memory Decline. Journal of Neurotrauma
  • 19. Lee, Y.-T., Chang, Y.-H., Barquero, C. and 6 more (...) (2025). Pupil and Eye Blink Response Abnormalities During Emotional Conflict Processing in Late-Life Depression. Journal of Geriatric Psychiatry and Neurology, 38(5) 378–393
  • 20. Chen, K.-W., Hsieh, Y.-C., Tsai, K.-C. and 152 more (...) (2025). Renal function and post-thrombectomy outcomes and safety: nationwide registry study. Journal of NeuroInterventional Surgery
  • 21. Lin, M.-C., Kuo, P.-C., Li, Y.-T. and 1 more (...) (2025). Interpretable Multi-Attention Fusion Mechanisms for Early Detection of Transitional Phases in Alzheimer's Disease. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
  • 22. Pai, M.-C., Lin, Y.-T., Hsiao, C.-Y. and 4 more (...) (2025). Using Virtual Reality to Assess Spatial Navigation Ability in Individuals With Mild Cognitive Impairment and Older Adults: Cross-Sectional Study. JMIR Aging, 8
  • 23. Huang, Y.-J., Li, Y.-T., Tsai, M.-L. and 5 more (...) (2025). Photobiomodulation as a therapeutic approach for attention-deficit/hyperactivity disorder in model rats. Lasers in Medical Science, 40(1)
  • 24. Kuo, D.-P., Liu, H.-S., Chen, Y.-C. and 2 more (...) (2025). Fractional Anisotropy as a Potential Marker of Blood–Brain Barrier Disruption in a Rat Model of Ischemia–Reperfusion Injury. Applied Magnetic Resonance, 56(7) 845–858
  • 25. Chen, L.-W., Li, Y.-T., Chu, C.-H. and 6 more (...) (2026). Early developmental trajectory phenotypes for risk stratification of autism spectrum disorder in very preterm infants: a machine learning approach. Molecular Autism, 17(1)
  • 26. Nhu, N.T., Trang, T.T.Q., Chen, D.Y.-T. and 1 more (...) (2025). Brain modulatory effects of rehabilitation interventions in fibromyalgia: a systematic review of magnetic resonance imaging studies. Neurological Sciences, 46(5) 2041–2054
  • 27. Li, Y.-T., Chen, L.-W., Koh, C.-L. and 2 more (...) (2025). Functional connectivity as a prognostic biomarker for neurodevelopmental outcomes in preterm infants without severe brain injury. Brain Communications, 7(6)
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