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Free-Form Deformations Using Adaptive Control Point Status for Whole Heart MR Segmentation

机译:使用自适应控制点状态进行全心MR分割的自由形式变形

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Whole heart segmentation from cardiac MRI is useful in clinics but challenging due to the large shape variation of the heart and many indistinct boundaries commonly presented in the MR images, especially in pathological cases. Image registration for whole heart MR images has been developed and applied to atlas propagation based segmentation [1]. In this paper, we base on this segmentation framework and propose a new non rigid registration, a free-form deformations (FFDs) registration using adaptive control point status, for the segmentation refinement. This method activates and optimises control points according to the combined information of the deformation field and the heart surface from the atlas to improve the registration performance. The segmentation framework using this registration demonstrates a RMS accuracy of 1.8 ± 0.2 mm in 10 pathological data.
机译:心脏MRI进行全心分割在临床上很有用,但由于心脏的形状变化较大以及MR图像中通常存在许多不清晰的边界,尤其是在病理情况下,具有挑战性。已开发出用于全心脏MR图像的图像配准,并将其应用于基于图谱传播的分割[1]。在本文中,我们基于此分割框架并提出了一种新的非刚性配准,即使用自适应控制点状态的自由形式变形(FFD)配准,以进行细分细化。该方法根据变形场和来自图谱的心脏表面的组合信息激活和优化控制点,以提高配准性能。使用该配准的分割框架在10个病理数据中显示RMS精度为1.8±0.2 mm。

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