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国家自然科学基金(81271664)

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相关作者:张一嘉梁正荣郭卉段侪杰叶大田更多>>
相关机构:纽约州立大学清华大学更多>>
发文基金:国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划更多>>
相关领域:自动化与计算机技术交通运输工程更多>>

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Reduced aliasing artifacts using shaking projection k-space sampling trajectory
2014年
Radial imaging techniques, such as projection-reconstruction(PR), are used in magnetic resonance imaging(MRI)for dynamic imaging, angiography, and short-T2 imaging. They are less sensitive to flow and motion artifacts, and support fast imaging with short echo times. However, aliasing and streaking artifacts are two main sources which degrade radial imaging quality. For a given fixed number of k-space projections, data distributions along radial and angular directions will influence the level of aliasing and streaking artifacts. Conventional radial k-space sampling trajectory introduces an aliasing artifact at the first principal ring of point spread function(PSF). In this paper, a shaking projection(SP) k-space sampling trajectory was proposed to reduce aliasing artifacts in MR images. SP sampling trajectory shifts the projection alternately along the k-space center, which separates k-space data in the azimuthal direction. Simulations based on conventional and SP sampling trajectories were compared with the same number projections. A significant reduction of aliasing artifacts was observed using the SP sampling trajectory. These two trajectories were also compared with different sampling frequencies.A SP trajectory has the same aliasing character when using half sampling frequency(or half data) for reconstruction. SNR comparisons with different white noise levels show that these two trajectories have the same SNR character. In conclusion,the SP trajectory can reduce the aliasing artifact without decreasing SNR and also provide a way for undersampling reconstruction. Furthermore, this method can be applied to three-dimensional(3D) hybrid or spherical radial k-space sampling for a more efficient reduction of aliasing artifacts.
朱艳春杜江杨文超段侪杰王浩宇高嵩包尚联
关键词:运动伪影
一种MR膀胱图像增强后基于图论的分割策略
2015年
为了从具有低信噪比和运动伪影的虚拟膀胱镜核磁成像图像MR(magnetic resonance)中获得精确的膀胱分割结果,该文提出一种针对连续采集的多套短时膀胱MR影像的处理策略。该策略选取一套图像作为配准基准,对其他短时图像先后进行仿射变换和分层B样条变换配准,最后对配准结果平均,获得增强图像。继而利用基于闭集模型的图割方法分别对基准图像和增强图像进行分割。该文利用计算机生成的模拟图像以及临床MR图像测试该策略。实验结果表明:模拟增强图像和MR增强图像的信噪比分别增大到原来的3.26倍和2.17倍,图像信噪比在配准后明显提高;对增强图像使用该文提供的分割方法获得了更好的分割结果。实验证明该文提出的策略能通过配准方法获得高信噪比、高对比度、较少伪影的膀胱增强影像。
段侪杰张一嘉郭卉叶大田梁正荣
关键词:膀胱造影图割
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