Lịch sử dụng phòng F207

"Phòng chuyên đề và Phòng làm việc sau đại học"
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Thông báo Seminar Bộ môn Giải tích tháng 9/2017
Thứ Bảy này, ngày 23/09/2017, Bộ môn Giải tích tổ chức Seminar Giải tích do Giáo sư Jing-Rebecca Li (CMAP, Ecole Polytechnique, Pháp) trình bày, tại phòng F207 (CS Nguyễn Văn Cừ) vào lúc 9h00.
Nội dung trình bày: Numerical simulation and macroscopic model formulation for diffusion magnetic resonance imaging in the brain
Diffusion Magnetic Resonance Imaging (dMRI) is an imaging modality that gives a measure of water diffusion in biological tissue.  As water diffusion is strongly affected by the cellular environment, dMRI has become a widely used research and clinical tool for detecting and quantifying physiological and pathological conditions in-vivo, in particular in the brain.
In-vivo brain dMRI measures water diffusion (Brownian motion) during a diffusion time that is usually limited to between 10-40ms and the dMRI signal is the average water proton magnetization over voxel that is on the order of 2mm x 2mm x 2 mm.  Inside the voxel, there are many neurons, glial cells and the extra-cellular space. Neurons have a solid cell body, 1 to 10 µm in diameter.  Attached to the neuron body are axons and branching dendrites that are less than 1 µm in average diameter and several 100s of µm in length. The extra-cellular space is very thin and geometrically complex. The extra-cellular space occupies 6% of brain cortex volume and is 10–30 nm in width.  It is “hallowed out” by roundish and tree-like objects (neuron bodies=12% of volume, axons=34%, dendrites =35%). In addition, the cells are permeable to water so water can move between the cells and the extra-cellular space.  Due to such complex structure, the inverse problem of obtaining geometrical information on the brain tissue from the dMRI signal is a challenging and unsolved problem.

I will discuss two aspects of the modeling and simulation problem for brain dMRI.  The first is the direct simulation of the dMRI signal from a prescribed cellular-level geometrical configuration defined in a voxel.  The second is the formulation of macroscopic (voxel-level) models of the dMRI signal for the purpose of inverting for model parameters from the experimental signal.

This work contains the contributions of several former students from the French-Vietnam Master's in Applied Mathematics Program. I will also give some basic information about Master's and PhD studies in France.

Thân mời Quý Thầy Cô, đồng nghiệp, Nghiên cứu sinh quan tâm đến dự cũng như chia sẻ thông tin này đến những đồng nghiệp khác có quan tâm.
Khoa Toán - Tin học, Trường Đại học Khoa học Tự nhiên, Đại học Quốc gia TP Hồ Chí Minh.
Phòng F.009, cơ sở 227 Nguyễn Văn Cừ, Quận 5, TP HCM.