• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Noise robust one-dimensional blind deconvolution of medicalultrasound images
【24h】

Noise robust one-dimensional blind deconvolution of medicalultrasound images

机译：噪声健壮的医学超声图像一维盲反卷积

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Recently, several blind cepstral deconvolution methods for medicalnultrasound images were compared experimentally. The results indicatednthat the generalized cepstrum or the complex cepstrum with phasenunwrapping give the blind homomorphic deconvolution algorithms with thenbest performance. However, the frequency domain phase unwrapping fornpulse estimation, which is an essential part of both methods, isnsensitive to the sensor noise when the values of the spectrum are smallndue to the randomness of the tissue response. The noise introducesnabrupt changes in the phase. The phase degradation due to the noisencauses variable spatial and gray scale resolution in image sequencesnfollowing deconvolution. This paper introduces a noise robust Bayesiannphase unwrapping method using a noncausal Markov random chain model. Thenprior regularizing term accounts for the noise and smoothes the phase.nThe phase unwrapping is formulated as a least mean square optimizationnproblem. The optimization is done noniteratively by solving a differencenequation using the cosine transform. The resulting improvement in radialnand lateral blind deconvolution is demonstrated on six short ultrasoundnimage sequences recorded in vitro or in vivo
机译：最近，通过实验比较了几种用于医学超声图像的倒谱倒谱反褶积方法。结果表明，广义倒谱或相位倒包的复杂倒谱使盲同态反卷积算法具有最佳性能。然而，当频谱的值由于组织响应的随机性而较小时，频域相位解缠前脉冲估计是这两种方法的重要部分，对传感器噪声不敏感。噪声会引起相位突变。由于噪声引起的相位退化导致在去卷积之后图像序列中的空间和灰度分辨率变化。本文介绍了一种使用非因果马尔可夫随机链模型的鲁棒贝叶斯相位去噪方法。然后，先进行正则项化处理噪声，然后对相位进行平滑处理。n将相位展开公式化为最小均方优化n问题。通过使用余弦变换求解差分方程，可以非迭代地完成优化。体外或体内记录的六个短超声图像序列证明了径向和侧向盲卷积的改善

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号