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Multiview RT3D Echocardiography Image Fusion

机译:多视图RT3D超声心动图图像融合

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Real-time three-dimensional echocardiography (RT3DE) permits the acquisition and visualization of the beating heart in 3D. However, its actual utility is limited due to missing anatomical structures and limited field-of-view (FOV). We present an automatic two-stage registration and fusion method to integrate multiple single-view RT3DE images. The registration scheme finds a rigid transformation by using a multiresolution algorithm. The fusion is based on the 3D wavelet transform, utilizing the separation of the image into low- and high-frequency wavelet subbands. The qualitative and quantitative results, from 12 subjects, demonstrate that the proposed fusion framework helps in: (ⅰ) fill-ing-in missing anatomical information, (ⅱ) extending the FOV, and (ⅲ) increasing the structural information and image contrast.
机译:实时三维超声心动图(RT3DE)允许以3D形式采集和显示跳动的心脏。但是,由于缺少解剖结构和有限的视野(FOV),其实际用途受到限制。我们提出了一种自动的两阶段配准和融合方法,以集成多个单视图RT3DE图像。该配准方案通过使用多分辨率算法找到了一个刚性变换。融合基于3D小波变换,利用将图像分为低频和高频子带的分离。来自12个受试者的定性和定量结果表明,提出的融合框架有助于:(ⅰ)填补缺失的解剖学信息,(ⅱ)扩展视野,以及(ⅲ)增加结构信息和图像对比度。

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