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matlab r2022a  (MathWorks Inc)
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matlab r2023a  (MathWorks Inc)
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matlab parallel computing toolbox  (MathWorks Inc)
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simulink version  (MathWorks Inc)
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ultrasound toolbox  (MathWorks Inc)
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Fig. 2. Illustration of the tensor arrangement from stacks of <t>ultrasound</t> images and its decomposition with HOSVD.
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Fig. 2. Illustration of the tensor arrangement from stacks of <t>ultrasound</t> images and its decomposition with HOSVD.
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Fig. 2. Illustration of the tensor arrangement from stacks of <t>ultrasound</t> images and its decomposition with HOSVD.
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Fig. 2. Illustration of the tensor arrangement from stacks of <t>ultrasound</t> images and its decomposition with HOSVD.
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Image Search Results


Fig. 2. Illustration of the tensor arrangement from stacks of ultrasound images and its decomposition with HOSVD.

Journal: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Article Title: Higher Order Singular Value Decomposition Filter for Contrast Echocardiography

doi: 10.1109/tuffc.2023.3316130

Figure Lengend Snippet: Fig. 2. Illustration of the tensor arrangement from stacks of ultrasound images and its decomposition with HOSVD.

Article Snippet: Channel data were beamformed offline using the Ultrasound Toolbox [24] in MATLAB (R2022A, Mathworks, Natick, MA, USA, 2022) on a 0.5λ resolution grid.

Techniques:

Fig. 3. (a) B-mode image of the phantom as a reference. (b)–(d) Examples of ultrasound images as a result of pulsing mode rank selection. (e) and (f) Singular vectors that represent the backscatter trend, in response to the transmitted pulses (AM).

Journal: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Article Title: Higher Order Singular Value Decomposition Filter for Contrast Echocardiography

doi: 10.1109/tuffc.2023.3316130

Figure Lengend Snippet: Fig. 3. (a) B-mode image of the phantom as a reference. (b)–(d) Examples of ultrasound images as a result of pulsing mode rank selection. (e) and (f) Singular vectors that represent the backscatter trend, in response to the transmitted pulses (AM).

Article Snippet: Channel data were beamformed offline using the Ultrasound Toolbox [24] in MATLAB (R2022A, Mathworks, Natick, MA, USA, 2022) on a 0.5λ resolution grid.

Techniques: Selection

Fig. 4. (a) Spatial mode singular vectors, reshaped as ultrasound spatial images (U(x,z)). (b) Tensor core magnitude of the spatial singular vectors when only W3(p) is chosen.

Journal: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Article Title: Higher Order Singular Value Decomposition Filter for Contrast Echocardiography

doi: 10.1109/tuffc.2023.3316130

Figure Lengend Snippet: Fig. 4. (a) Spatial mode singular vectors, reshaped as ultrasound spatial images (U(x,z)). (b) Tensor core magnitude of the spatial singular vectors when only W3(p) is chosen.

Article Snippet: Channel data were beamformed offline using the Ultrasound Toolbox [24] in MATLAB (R2022A, Mathworks, Natick, MA, USA, 2022) on a 0.5λ resolution grid.

Techniques:

Fig. 6. (a) Singular vectors that represent the decomposed backscatter response to AMPI transmission. (b)–(d) Examples of ultrasound images as a result of pulsing mode rank selection.

Journal: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Article Title: Higher Order Singular Value Decomposition Filter for Contrast Echocardiography

doi: 10.1109/tuffc.2023.3316130

Figure Lengend Snippet: Fig. 6. (a) Singular vectors that represent the decomposed backscatter response to AMPI transmission. (b)–(d) Examples of ultrasound images as a result of pulsing mode rank selection.

Article Snippet: Channel data were beamformed offline using the Ultrasound Toolbox [24] in MATLAB (R2022A, Mathworks, Natick, MA, USA, 2022) on a 0.5λ resolution grid.

Techniques: Transmission Assay, Selection