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磁共振环境下的微波介电对比成像以及在图像重建中使用磁共振空间信息的效果。

Microwave dielectric contrast imaging in a magnetic resonant environment and the effect of using magnetic resonant spatial information in image reconstruction.

作者信息

Epstein Neil R, Golnabi Amir H, Meaney Paul M, Paulsen Keith D

机构信息

Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5738-41. doi: 10.1109/IEMBS.2011.6091420.

DOI:10.1109/IEMBS.2011.6091420
PMID:22255643
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3766373/
Abstract

Microwave Tomography (MT) can determine the permittivity and conductivity of a volume of interest; it has been shown that a contrast exists between these electrical properties in healthy and malignant tissues, and MT can be used to discern the dielectric contrast image of these tissues by recovering their electrical property values. Simulation and phantom experiments of objects with known spatial locations have shown that using boundary information derived from internal structures in the imaged volume greatly increases the accuracy of the recovered property values. In practice this spatial information, which will be used for reconstructing the tissue's electrical property images, must be determined with high enough resolution to segment boundary regions and internal structures of interest. This experiment investigates the use of Magnetic Resonant Imaging (MRI) in obtaining the desired spatial information used in mesh generation for image reconstruction and provides microwave image results comparing electrical properties recovered with and without this prior spatial information.

摘要

微波断层扫描(MT)可以确定感兴趣区域的介电常数和电导率;研究表明,健康组织和恶性组织的这些电学性质存在差异,MT可通过恢复组织的电学性质值来辨别这些组织的介电对比度图像。对具有已知空间位置的物体进行的模拟和体模实验表明,利用从成像体积内的内部结构导出的边界信息可大大提高恢复的性质值的准确性。在实际应用中,用于重建组织电学性质图像的这种空间信息必须以足够高的分辨率来确定,以便分割感兴趣的边界区域和内部结构。本实验研究了利用磁共振成像(MRI)来获取用于图像重建的网格生成所需的空间信息,并给出了微波图像结果,比较了有和没有这种先验空间信息时恢复的电学性质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/59559d75ff23/nihms512910f6a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/35a0425e5448/nihms512910f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/11863e1165bd/nihms512910f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/5cd4b8833218/nihms512910f3a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/36668da45c6d/nihms512910f4a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/01f0a416ae90/nihms512910f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/59559d75ff23/nihms512910f6a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/35a0425e5448/nihms512910f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/11863e1165bd/nihms512910f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/5cd4b8833218/nihms512910f3a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/36668da45c6d/nihms512910f4a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/01f0a416ae90/nihms512910f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9cd/3766373/59559d75ff23/nihms512910f6a.jpg

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