双模态造影剂结合多尺度表示在超声磁共振成像配准方案中的应用

Q4 Biochemistry, Genetics and Molecular Biology
M. Hou, Wei-yu Kevin Chiang, Weiqiang Hong, Mao-Yun Yang, W. Yu
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引用次数: 0

摘要

为了实现图像的配准/融合,提高图像的融合质量,采用双模态造影剂(DMCA),提出了一种超声成像(US)与磁共振成像(MRI)之间的多尺度表示配准方法,并重点讨论了DMCA对配准精度的影响。由于US具有强烈的散斑噪声,因此将US与其他模态图像进行配准是一个巨大的挑战。如何改进美国处理的算法成为瓶颈,短期内很难有突破。在这种情况下,DMCA在US和MRI中都被用于增强感兴趣的区域。然后,由于多尺度表示是一种试图减少或消除几个可能的局部最小值并使凸优化问题更快、更有效地解决的策略,因此构建了基于多尺度表示高斯金字塔的仿射配准(MRGP-AR)方案来完成US-MRI配准过程。对比试验表明,US-MRI配准/融合可能是获得高质量配准图像的一种显著方法。实验还表明,利用新型纳米材料结合优秀的算法解决医学图像处理领域的一些难题是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Dual Modality Contrast Agent Combined with Multi-Scale Representation in Ultrasound-Magnetic Resonance Imaging Registration Scheme
To achieve the image registration/fusion and perfect the quality of the integration, with dual modality contrast agent (DMCA), a novel multi-scale representation registration method between ultrasound imaging (US) and magnetic resonance imaging (MRI) is presented in the paper, and how DMCA influence on registration accuracy is chiefly discussed. Owing to US’s intense speckle noise, it is a tremendous challenge to register US with any other modality images. How to improve the algorithms for US processing has become the bottleneck, and in the short term it is difficult to have a breakthrough. In that case, DMCA is employed in both US and MRI to enhance the region of interest. Then, because multi-scale representation is a strategy that attempts to diminish or eliminate several possible local minima and lead to convex optimization problems to be solved quickly and more efficiently, a multi-scale representation Gaussian pyramid based affine registration (MRGP-AR) scheme is constructed to complete the US-MRI registration process. In view of the above-mentioned method, the comparison tests indicate that US-MRI registration/fusion may be a remarkable method for gaining high-quality registration image. The experiments also show that it is feasible that novel nano-materials combined with excellent algorithm are used to solve some hard tasks in medical image processing field.
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来源期刊
Molecular & Cellular Biomechanics
Molecular & Cellular Biomechanics CELL BIOLOGYENGINEERING, BIOMEDICAL&-ENGINEERING, BIOMEDICAL
CiteScore
1.70
自引率
0.00%
发文量
21
期刊介绍: The field of biomechanics concerns with motion, deformation, and forces in biological systems. With the explosive progress in molecular biology, genomic engineering, bioimaging, and nanotechnology, there will be an ever-increasing generation of knowledge and information concerning the mechanobiology of genes, proteins, cells, tissues, and organs. Such information will bring new diagnostic tools, new therapeutic approaches, and new knowledge on ourselves and our interactions with our environment. It becomes apparent that biomechanics focusing on molecules, cells as well as tissues and organs is an important aspect of modern biomedical sciences. The aims of this journal are to facilitate the studies of the mechanics of biomolecules (including proteins, genes, cytoskeletons, etc.), cells (and their interactions with extracellular matrix), tissues and organs, the development of relevant advanced mathematical methods, and the discovery of biological secrets. As science concerns only with relative truth, we seek ideas that are state-of-the-art, which may be controversial, but stimulate and promote new ideas, new techniques, and new applications.
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