Three-dimensional blind deconvolution of ultrasound images

Taxt, Torfinn

doi:10.1109/58.935702

Cited by 28 publications

(12 citation statements)

References 13 publications

(19 reference statements)

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“…A 3-D, RF system using 16-bit acquisition at 20 MHz has been reported [31], but not in real time. Similarly, a real-time system using 12-bit acquisition at 30 MHz has been reported [32], but not in 3-D. Commercial RF systems have until recently Fig.…”

Section: Appendix a Monotonic Regressionmentioning

confidence: 99%

Ultrasound attenuation measurement in the presence of scatterer variation for reduction of shadowing and enhancement

Treece

Prager

Gee

2005

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Pulse-echo ultrasound display relies on many assumptions that are known to be incorrect. Departure from these makes interpretation of conventional ultrasound images difficult, and three-dimensional (3-D) visualizations harder still. For instance, shadowing and enhancement are the result of an incorrect assumption that sound attenuation is a function only of depth. Attempts to reduce such artefacts by estimating attenuation locally have been frustrated by large statistical variations and the influence of scatterer type. We address the latter by examining the influence of scatterer type on two existing attenuation estimation algorithms. This analysis is novel for one of the algorithms, and contains a correction to previously published work for the other. We then propose a novel algorithm that is less sensitive to scatterer variation. We also present a novel technique for handling large statistical variations based on combined assumptions of monotonicity and smoothness. We then assess the performance of each algorithm for correcting shadowing and enhancement in in vitro data, using a real time 3-D radio frequency (RF) ultrasound acquisition system developed for this purpose. The results show visible differences in attenuation estimates from each technique, which are supported by the theoretical analysis. The novel attenuation estimation algorithm does show less sensitivity to scatterer variation, though it results in a more noisy estimate. Nevertheless, the novel technique for reducing statistical variations is sufficient to allow some degree of correction of shadowing and enhancement in each case.

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Section: Appendix a Monotonic Regressionmentioning

confidence: 99%

Ultrasound attenuation measurement in the presence of scatterer variation for reduction of shadowing and enhancement

Treece

Prager

Gee

2005

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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“…The complex cepstrum method can also be used in blind deconvolution of 2-D [3], [5] and 3-D [6] ultrasound signals without assuming that the pulse is separable in the spatial coordinates. Oppenheim [7] gives a detailed description of cepstrum methods.…”

Section: Introductionmentioning

confidence: 99%

Superresolution of ultrasound images using the first and second harmonic signal

Taxt

Jiřík

2004

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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This paper presents a new method of blind two-dimensional (2-D) homomorphic deconvolution and speckle reduction applied to medical ultrasound images. The deconvolution technique is based on an improved 2-D phase unwrapping scheme for pulse estimation. The input images are decomposed into minimum-phase and allpass components. The 2-D phase unwrapping is applied only to the allpass component. The 2-D phase of the minimumphase component is derived by a Hilbert transform. The accuracy of 2-D phase unwrapping is also improved by processing small (16 16 pixels) overlapping subimages separately. This takes the spatial variance of the ultrasound pulse into account. The deconvolution algorithm is applied separately to the first and second harmonic images, producing much sharper images of approximately the same resolution and different speckle patterns. Speckle reduction is made by adding the envelope images of the deconvolved first and second harmonic images. Neither the spatial resolution nor the frame rate decreases, as the common compounding speckle reduction techniques do. The method is tested on sequences of clinical ultrasound images, resulting in highresolution ultrasound images with reduced speckle noise.

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“…Both in theory and practice, MRM broadly reflects the influence of the data and inversion algorithm on the inversion model. Euler deconvolution is a common interpretation method for model computation and correction [16−18] , which has been applied in many related research fields, such as image and video processing [19] , astronomical data processing [20] , remote sensing [21] , and biological image processing [22] . It is also applied to tomography technology [23−24] .…”

Section: Introductionmentioning

confidence: 99%

Geophysical Inversion Enhancement Based on Blind Deconvolution

Zuo¹,

Hu²,

Han³

2012

Chinese J of Geophysics

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Geophysical systematic errors inevitably occur during acquisition and processing of data because of noise and discretization as well as incorrect geophysical forward modeling. In this paper, a new technology is proposed to enhance the geophysical inversion model without introducing any additional information. The relationship between the inversion model resolution matrix and the enhancing model is described. We suggest that more information could be extracted from inversion results by using the blind deconvolution method. Then, a mix-norm TV regularization enhancement algorithm is proposed. Finally, we use the 1D and 2D magnetotelluric inversion models to prove the correctness and the effectiveness of the proposed methods. The results show that the proposed algorithm can increase geophysical model precision by 88.57%.

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Three-dimensional blind deconvolution of ultrasound images

Cited by 28 publications

References 13 publications

Ultrasound attenuation measurement in the presence of scatterer variation for reduction of shadowing and enhancement

Ultrasound attenuation measurement in the presence of scatterer variation for reduction of shadowing and enhancement

Superresolution of ultrasound images using the first and second harmonic signal

Geophysical Inversion Enhancement Based on Blind Deconvolution

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