Basic research on elimination of artifacts in ultrasonic imaging based on spatiotemporal CMRF model
基于时空CMRF模型的超声成像伪影消除基础研究
基本信息
- 批准号:18360162
- 负责人:
- 金额:$ 9.87万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (B)
- 财政年份:2006
- 资助国家:日本
- 起止时间:2006 至 2007
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Ultrasonic imaging provides us with a wide range of advantages in various application fields such as medical diagnosis and submarine measurement. The ultrasonic wave is, however, often affected by the artifacts caused by multipath effect, refraction, diffraction, and sidelobes in the wave propagation. The aim of this study is to establish a basis to identify and eliminate the artifacts adaptively by processing observed ultrasonic images with complex-valued neural networks (CVNNs). The basic idea includes the complex-valued Markov random field (CMRF) model and the CVNNs, which we proposed and have been investigated for these years. The CVNNs is an extension of neural networks so that we can deal with wave-related phenomena adaptively and flexibly with explicit phase variables. We adopt the CVNNs to treat complex-valued image data obtained in acoustic imaging for the identification and elimination of the artifact. This project have yielded the following remarkable achievements.(1)System … More construction in which we observe complex-amplitude of reflection and/or scattering of pseudo-continuous wave: We have constructed an ultrasonic surface measurement system with which we assume a clear boundary where the acoustic impedance changes abruptly, which is an ordinary case of seabed landscape observation. We transmit 50-wave packet and detect the received waveform, which is A/D converted and Fourier transformed, and we obtain the amplitude and phase of the carrier frequency component precisely.(2)Development and demonstration of a novel method of phase singular point elimination: When we construct a phase map from the data obtained in the above system, we find dense phase singular points (SPs) included there. We need to reduce the SPs and unwrap the phase. First we proposed a new method to unwrap the phase, namely, "spread singularity phase unwrapping." The calculation cost is lower and the quality of the digital elevation map (DEM) is higher than those of conventional methods. Secondly we developed a novel SP reduction method, i.e., "CMRF-based PS restoration method." We applied the method at respective SPs to make them move to their counterparts to get canceled out. It has been found that the method realizes both a large reduction rate and an accurate phase reservation, which lead directly to high quality generation of DEM. Less
超声成像在医疗诊断和潜艇测量等各种应用领域为我们提供了广泛的优势。然而,超声波在传播过程中常常受到多径效应、折射、衍射和旁瓣等因素的影响。本研究的目的是建立一个基础,通过处理观察超声图像与复值神经网络(CVNNs)的自适应识别和消除伪影。其基本思想包括复值马尔可夫随机场(CMRF)模型和我们提出并研究多年的CVNN。CVNNs是神经网络的扩展,因此我们可以自适应地和灵活地处理与波相关的现象与显式的相位变量。我们采用CVNNs处理复值图像数据在声学成像的识别和消除的伪影。该项目取得了以下显著成果。(1)系统 ...更多信息 我们观察伪连续波的反射和/或散射的复振幅的结构:我们已经构建了一个超声波表面测量系统,我们假设一个清晰的边界,其中声阻抗突然变化,这是海底景观观察的普通情况。发射50波数据包,对接收波形进行A/D转换和傅立叶变换,精确地得到载波频率分量的幅值和相位。(2)相位奇异点消除新方法的开发和演示:当我们从上述系统中获得的数据构建相位图时,我们发现其中包含密集的相位奇异点(SP)。我们需要减少SP并展开阶段。首先提出了一种新的相位展开方法,即“扩展奇异性相位展开法”。"与传统方法相比,计算成本较低,数字高程图(DEM)的质量较高。其次,我们开发了一种新的SP减少方法,即,基于CMRF的PS恢复方法。"我们在各自的SP上应用了这种方法,让他们移动到他们的对手那里去取消。结果表明,该方法既能实现较大的缩减率,又能实现精确的相位保留,从而直接生成高质量的DEM。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Holographic Three-Dimensional Movie Generation with Frame Interpolation Using Coherent Neural Networks
使用相干神经网络通过帧插值生成全息三维电影
- DOI:
- 发表时间:2006
- 期刊:
- 影响因子:0
- 作者:A.Hirose;T.Higo;K.Tanizawa
- 通讯作者:K.Tanizawa
Local-spectrum-based distinction between handwritten and machine-printed characters
- DOI:10.1109/icip.2008.4711931
- 发表时间:2008-12
- 期刊:
- 影响因子:0
- 作者:Jumpei Koyama;A. Hirose;Masahiro Kato
- 通讯作者:Jumpei Koyama;A. Hirose;Masahiro Kato
Handwritten character distinction method inspired by human vision me chanism
受人类视觉机制启发的手写体字符区分方法
- DOI:
- 发表时间:2007
- 期刊:
- 影响因子:0
- 作者:A. Hirose S. Masuyama K. Yasuda;T. Nishino M. Ueki A. Hirose;T. Nishino R. Yamaki A. Hirose;J. Koyama M. Kato A. Hirose
- 通讯作者:J. Koyama M. Kato A. Hirose
Weighted singular unit restoration in interferograms based on complex-valued MRF model for phase unwrapping
基于相位展开复值 MRF 模型的干涉图中的加权奇异单元恢复
- DOI:
- 发表时间:2007
- 期刊:
- 影响因子:0
- 作者:A. Hirose S. Masuyama K. Yasuda;T. Nishino M. Ueki A. Hirose;T. Nishino R. Yamaki A. Hirose;J. Koyama M. Kato A. Hirose;A. Hirose S. Masuyama;C.S.Tay K. Tanizawa A. Hirose;R. Yamaki A. Hirose
- 通讯作者:R. Yamaki A. Hirose
High-resolution walled-LTSA-array ground penetrating radar system using adaptive complex-valued self-organizing-map processing
使用自适应复值自组织地图处理的高分辨率壁式 LTSA 阵列探地雷达系统
- DOI:
- 发表时间:2007
- 期刊:
- 影响因子:0
- 作者:A. Hirose S. Masuyama K. Yasuda
- 通讯作者:A. Hirose S. Masuyama K. Yasuda
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HIROSE Akira其他文献
HIROSE Akira的其他文献
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