A new method of spatial compounding imaging

Behar, V.; Adam, Dan; Friedman, Zvi

doi:10.1016/s0041-624x(03)00105-7

Cited by 68 publications

(37 citation statements)

References 6 publications

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“…In this approach, the spatial compounding technique was used to increase accuracy of the attenuation estimate and to reduce its variations. The spatial compounding is often applied to reduce speckles in standard B-mode images (Behar et al, 2003). The method bases on averaging images obtained from different but closely located scan planes.…”

Section: Methodsmentioning

confidence: 99%

Tissue Attenuation Estimation from Backscattered Ultrasound Using Spatial Compounding Technique - Preliminary Results

Klimonda¹,

Litniewski²,

Nowicki³

2010

Archives of Acoustics

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The pathological states of biological tissue are often resulted in attenuation changes. Thus, information about attenuating properties of tissue is valuable for the physician and could be useful in ultrasonic diagnosis. We are currently developing a technique for parametric imaging of attenuation and we intend to apply it for in vivo characterization of tissue. The attenuation estimation method based on the echoes mean frequency changes due to tissue attenuation dispersion, is presented. The Doppler IQ technique was adopted to estimate the mean frequency directly from the raw RF data. The Singular Spectrum Analysis technique was used for the extraction of mean frequency trends. These trends were converted into attenuation distribution and finally the parametric images were computed. In order to reduce variation of attenuation estimates the spatial compounding method was applied. Operation and accuracy of attenuation extracting procedure was verified by calculating the attenuation coefficient distribution using the data from the tissue phantom (DFS, Denmark) with uniform echogenicity while attenuation coefficient underwent variation.

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Section: Methodsmentioning

confidence: 99%

Tissue Attenuation Estimation from Backscattered Ultrasound Using Spatial Compounding Technique - Preliminary Results

Klimonda¹,

Litniewski²,

Nowicki³

2010

Archives of Acoustics

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“…where I(r f ) represents the scalar energy at the focus r f , T W in is the integration window length and the 1 N term is an averaging factor in the compounding strategy [32].…”

Section: B Compound Imagingmentioning

confidence: 99%

Compound Radar Approach for Breast Imaging

Byrne

Sarafianou²,

Craddock³

2017

IEEE Trans. Biomed. Eng.

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“…In this technique multiple ultrasonic images were captured for the same region using multiple cameras from different angles [22] and combining them together to generate a single image. In our work, scan images Im from neighboring acquisition steps, each with spatial shift of stepS (see Table 1), are averaged to get a compound image as modeled in (4).…”

Section: Spatial Compound Imaging (Sci) Spatial Compoundmentioning

confidence: 99%

High Precision Laser Scanning of Metallic Surfaces

Amir

Thörnberg

2017

International Journal of Optics

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Speckle noise, dynamic range of light intensity, and spurious reflections are major challenges when laser scanners are used for 3D surface acquisition. In this work, a series of image processing operations, that is, Spatial Compound Imaging, High Dynamic Range Extension, Gray Level Transformation, and Most Similar Nearest Neighbor are proposed to overcome the challenges coming from the target surface. A prototype scanner for metallic surfaces is designed to explore combinations of these image processing operations. The main goal is to find the combination of operations that will lead to the highest possible robustness and measurement precision at the lowest possible computational load. Inspection of metallic tools where the surface of its edge must be measured at micrometer precision is our test case. Precision of heights measured without using the proposed image processing is firstly analyzed to be ±7.6 m at 68% confidence level. The best achieved height precision was ±4.2 m. This improvement comes at 24 times longer processing time and five times longer scanning time. Dynamic range extension of the image capture improves robustness since the numbers of saturated or underexposed pixels are substantially reduced. Using a high dynamic range (HDR) camera offers a compromise between processing time, robustness, and precision.

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A new method of spatial compounding imaging

Cited by 68 publications

References 6 publications

Tissue Attenuation Estimation from Backscattered Ultrasound Using Spatial Compounding Technique - Preliminary Results

Tissue Attenuation Estimation from Backscattered Ultrasound Using Spatial Compounding Technique - Preliminary Results

Compound Radar Approach for Breast Imaging

High Precision Laser Scanning of Metallic Surfaces

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