Journal ArticleDOI
Higher order spectra based deconvolution of ultrasound images
TLDR
In this paper, a blind deconvolution method was proposed to identify and remove the convolutional distortion in order to reconstruct the tissue response, thus enhancing the diagnostic quality of the ultrasonic image.Abstract:
We address the problem of improving the spatial resolution of ulrasound images through blind deconvolution. The ultrasound image formation process in the RF domain can be expressed as a spatio-temporal convolution between the tissue response and the ultrasonic system response, plus additive noise. Convolutional components of the dispersive attenuation and aberrations introduced by propagating through the object being imaged are also incorporated in the ultrasonic system response. Our goal is to identify and remove the convolutional distortion in order to reconstruct the tissue response, thus enhancing the diagnostic quality of the ultrasonic image. Under the assumption of an independent, identically distributed, zero-mean, non-Gaussian tissue response, we were able to estimate distortion kernels using bicepstrum operations on RF data. Separate 1D distortion kernels were estimated corresponding to axial and lateral image lines and used in the deconvolution process. The estimated axial kernels showed similarities to the experimentally measured pulse-echo wavelet of the imaging system. Deconvolution results from B-scan images obtained with clinical imaging equipment showed a 2.5-5.2 times gain in lateral resolution, where the definition of the resolution has been based on the width of the autocovariance function of the image. The gain in axial resolution was found to be between 1.5 and 1.9.read more
Citations
More filters
Journal ArticleDOI
Application of higher order statistics/spectra in biomedical signals—A review
TL;DR: Most of the biomedical signals are non-linear, non-stationary and non-Gaussian in nature and therefore it can be more advantageous to analyze them with HOS compared to the use of second-order correlations and power spectra.
Journal ArticleDOI
Blind image deconvolution revisited
TL;DR: The article discusses the major approaches, such as projection based blind deconvolution and maximum likelihood restoration, which were overlooked previously (see ibid., no.5, 1996).
Journal ArticleDOI
Ultrasound image enhancement: A review
TL;DR: This paper classified these techniques for ultrasound enhancement into two groups: preprocessing and post-processing, analyzed their benefits and limitations, and presented beliefs about where ultrasound research could be directed to, in order to improve its effectiveness and broaden its applications.
Journal ArticleDOI
Blind Deconvolution of Medical Ultrasound Images: A Parametric Inverse Filtering Approach
TL;DR: The present study introduces a different approach to parameterizing the inverse filter, and proposes to model the inverse transfer function as a member of a principal shift-invariant subspace, which results in considerably more stable reconstructions as compared to standard parameterization methods.
References
More filters
Book
Higher-Order Spectra Analysis: A Nonlinear Signal Processing Framework
TL;DR: In this paper, the authors define and define Cumulants and Cumulant Spectra, and present a method for the estimation of polyspectra of deterministic signals, based on non-minimum phase signal reconstruction.
Journal ArticleDOI
Phase-aberration correction using signals from point reflectors and diffuse scatterers: basic principles
S.W. Flax,Matthew O'Donnell +1 more
TL;DR: The method presented here has no need for a beacon or an ideal point reflector to act as a source for estimating phase errors, and uses signals from random collections of scatterers to determine phase aberrations accurately.
Journal ArticleDOI
A model for the propagation and scattering of ultrasound in tissue
TL;DR: The integral solution to the wave equation is combined with a general description of the field from typical transducers used in clinical ultrasound to yield a model for the received pulse-echo pressure field.
Journal ArticleDOI
Phase aberration correction in medical ultrasound using speckle brightness as a quality factor
TL;DR: A method is proposed to correct for unknown phase aberration, which uses speckle brightness as a quality factor, analogous to the correction technique used by Muller and Buffington to adaptively focus incoherent optical telescopes.
Journal ArticleDOI
Deviations from Rayleigh statistics in ultrasonic speckle.
TL;DR: This study examines how scattering populations and signal processing can produce non-Rayleigh distributions and first order speckle statistics are shown to depend on random scatterer density and the amplitude and spacing of added periodic scatterers.