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利用配准后的超声和磁共振图像容积估计猪心脏的心肌纤维方向。

Estimating cardiac fiber orientations in pig hearts using registered ultrasound and MR image volumes.

作者信息

Dormer James D, Meng Yuguang, Zhang Xiaodong, Jiang Rong, Wagner Mary B, Fei Baowei

机构信息

Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA.

Yerkes National Primate Research Center, Emory University, Atlanta, GA.

出版信息

Proc SPIE Int Soc Opt Eng. 2017 Feb;10139. doi: 10.1117/12.2255515. Epub 2017 Mar 15.

Abstract

Heart fiber mechanics can be important predictors in current and future cardiac function. Accurate knowledge of these mechanics could enable cardiologists to provide a diagnosis before conditions progress. Magnetic resonance diffusion tensor imaging (MR-DTI) has been used to determine cardiac fiber orientations. Ultrasound is capable of providing anatomical information in real time, enabling a physician to quickly adjust parameters to optimize image scans. If known fiber orientations from a template heart measured using DTI can be accurately deformed onto a cardiac ultrasound volume, fiber orientations could be estimated for the patient without the need for a costly MR scan while still providing cardiologists valuable information about the heart mechanics. In this study, we apply the method to pig hearts, which are a close representation of human heart anatomy. Experiments from pig hearts show that the registration method achieved an average Dice similarity coefficient (DSC) of 0.819 ± 0.050 between the ultrasound and deformed MR volumes and that the proposed ultrasound-based method is able to estimate the cardiac fiber orientation in pig hearts.

摘要

心脏纤维力学可能是当前和未来心脏功能的重要预测指标。准确了解这些力学特性可以使心脏病专家在病情发展之前做出诊断。磁共振扩散张量成像(MR-DTI)已被用于确定心脏纤维方向。超声能够实时提供解剖信息,使医生能够快速调整参数以优化图像扫描。如果使用DTI从模板心脏测量得到的已知纤维方向能够准确地变形到心脏超声容积上,那么就可以在无需进行昂贵的磁共振扫描的情况下为患者估计纤维方向,同时仍能为心脏病专家提供有关心脏力学的有价值信息。在本研究中,我们将该方法应用于猪心脏,猪心脏与人类心脏解剖结构非常相似。对猪心脏进行的实验表明,配准方法在超声和变形后的磁共振容积之间实现了平均骰子相似系数(DSC)为0.819±0.050,并且所提出的基于超声的方法能够估计猪心脏中的心脏纤维方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4260/6138465/df589e1a2c43/nihms-986988-f0001.jpg

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