Kruggel, Frithjof - University of California, Irvine - Department of Biomedical Engineering

个人简介

Education M.D., Ludwig Maximilian University,Munich,Germany, Biomedical Engineering, 1987 Diploma, Ruhr University,Bochum,Germany, Biomedical Engineering, 1983

研究领域

Dr. Kruggel's research focuses on understanding the relation between structures and functions of the human brain. He is developing and applying new signal and image processing algorithms to the data analysis of neurofunctional methods (anatomical and functional MRI, emission tomography, event-related fields and potentials). The technologies that Dr. Kruggel has previously designed includes: 1) New methods for neurofunctional data analysis; 2) Segmentation of pathological structures in brain datasets; 3) Biomechanical and electromagnetical finite element models of the head; 4) Combining event-related potentials and functional MRI. His current work involves the quantification of neuroanatomical structures and the detection of neurofunctional areas from high-resolution anatomical MRI databases.

近期论文

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Kruggel F. (2013) Quantifying Brain Morphology Using Structural Imaging. in: Quantifying Morphology and Physiology of the Human Body Using MRI. (ed. Muftuler T.). CRC Press. Solodkin A., Chen E.E., Van Hoesen G.W., Heimer L., Shereen A., Kruggel F., Mastrianni F. (2013) In Vivo Parahippocampal White Matter Pathology as a Biomarker of Disease Progression to Alzheimer's Disease. Journal of Comparative Neurology 521:4300-4317. Nguyen H., Kruggel F. (2012) The Quantitative Differences of Gray Matter Concentration in Healthy Brains due to Gender and Aging. UCI Undergraduate Research Journal 15, 37-42. Osechinskiy S., Kruggel F. (2012) Cortical Surface Reconstruction from High-Resolution MR Brain Images. International Journal of Biomedical Imaging, Article ID 870196, doi:10.1155/2012/870196. LePort A.K.R., Mattfeld A.T., Dickinson-Anson H., Fallon J.T., Stark C.E.L., Kruggel F., Cahill L., McGaugh J.L. (2012) Behavioral and neuroanatomical investigation of Highly Superior Autobiographical Memory (HSAM). Neurobiology of Learning and Memory 98, 78-92. Kaden E., Kruggel F. (2012). Nonparametric Bayesian inference of the fiber orientation distribution from diffusion-weighted MR images. Medical Image Analysis 16, 876-888. Rasmussen J.M., Lakatos A., van Erp T.G.M., Kruggel F., Keator D.B., Fallon J.T., Macciardi F., Potkin S.G. (2012) Empirical derivation of the reference region for computing diagnostic sensitive 18fluorodeoxyglucose ratios in Alzheimer's disease based on the ADNI sample. Biochimica et Biophysica Acta 1822, 457-466.