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k wave matlab toolbox  (MathWorks Inc)


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    Structured Review

    MathWorks Inc k wave matlab toolbox
    K Wave Matlab Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 675 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/k+wave+matlab+toolbox/Mapping+Toolbox/pm41087312-110-22-23
    Average 96 stars, based on 675 article reviews
    k wave matlab toolbox - by Bioz Stars, 2026-11
    96/100 stars

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    Related Articles

    other:

    Article Title: A comparison of image reconstruction methods for ring array photoacoustic computed tomography
    Article Snippet: In the second example, 3D numerical simulations are conducted with k-Wave MATLAB toolbox [ 39 ] to generate synthetic RF data.

    Article Title: <i>In Vivo</i> Demonstration of Deep Learning-Based Photoacoustic Visual Servoing System
    Article Snippet: Objective: To develop the first known deep learning-based photoacoustic visual servoing system utilizing point source localization and hybrid position-force control to track catheter tips in three dimensions in real-time.. Methods: We integrated either object detection or instance segmentation-based localization with hybrid position-force control to create our novel system.. Cardiac catheter tips were then tracked across distances of 40 mm in a plastisol phantom and 25-64 mm in an in vivo swine in real-time in nine visual servoing trials total.

    Article Title: Near-Field Clutter Mitigation in Speckle Tracking Echocardiography.
    Article Snippet: Objective: Near-field (NF) clutter filters are critical for unveiling true myocardial structure and dynamics.. Randomized singular value decomposition (rSVD) stands out for its proven computational efficiency and robustness.. This study investigates the effect of rSVD-based NF clutter filtering on myocardial motion estimation.

    Construct:

    Article Title: Three-dimensional diffractive acoustic tomography
    Article Snippet: FFL reconstruction was written and executed in MATLAB, using a computer with 256 GB of random-access memory (RAM), an AMD Ryzen Threadripper 3970X central processing unit (CPU) (32 cores, 64 threads), and an NVIDIA RTX A6000 graphics processing unit (GPU) with 48 GB of GDDR6 VRAM and 10,752 CUDA cores. .. To theoretically characterize 3D-DAT and determine the relationship between the slit width and image quality, we constructed a 3D ultrasound simulation using the k-Wave MATLAB toolbox (Supplementary Fig. ) . ..

    Article Title: Three-dimensional diffractive acoustic tomography.
    Article Snippet: FFL reconstruction was written and executed in MATLAB, using a computer with 256 GB of random-access memory (RAM), an AMD Ryzen Threadripper 3970X central processing unit (CPU) (32 cores, 64 threads), and an NVIDIA RTX A6000 graphics processing unit (GPU) with 48 GB of GDDR6 VRAM and 10,752 CUDA cores. .. To theoretically characterize 3D-DAT and determine the relationship between the slit width and image quality, we constructed a 3D ultrasound simulation using the k-Wave MATLAB toolbox (Supplementary Fig. 9)66. ..

    Control:

    Article Title: Combining Deep Data-driven and Physics-inspired Learning for Shear Wave Speed Estimation in Ultrasound Elastography
    Article Snippet: Unsupervised physics-inspired training (c) Real velocity Without ground-truth Simulated velocity data from (a) Abstract— Shear wave elastography (SWE) provides quantitative markers for tissue characterization by measuring shear wave speed (SWS), which reflects tissue stiffness.. SWE uses an acoustic radiation force pulse sequence to generate shear waves that propagate laterally through tissue with transient displacements.. These waves travel perpendicular to the applied force, and their displacements are tracked using high-frame-rate ultrasound.

    Generated:

    Article Title: Piezoelectric Chitosan Microporous Scaffolds for Ultrasound-Driven Schwann Cell Migration and Enhanced Neurotrophins Production
    Article Snippet: .. The acoustic pressure field generated by the transducer was previously characterized through hydrophone mapping and further validated by numerical simulations using the k-Wave MATLAB toolbox, as described in Fontana et al. ..

    Article Title: Piezoelectric Chitosan Microporous Scaffolds for Ultrasound-Driven Schwann Cell Migration and Enhanced Neurotrophins Production.
    Article Snippet: .. The acoustic pressure field generated by the transducer was previously characterized through hydrophone mapping and further validated by numerical simulations using the k-Wave MATLAB toolbox, as described in Fontana et al.32 This combined characterization confirmed the uniformity of the pressure distribution within the stimulation wells and allowed us to estimate the spatially averaged acoustic intensity within the scaffold volume. ..



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    (a) Schematic illustration of circular scanning geometry. (b) Simulation geometry used <t>in</t> <t>MATLAB</t> k-wave toolbox. UST: ultrasound transducer. (c) Point source numerical phantom. (d) Vessel source numerical phantom. (e) Brain source numerical phantom. (f-h) One representative image for (c-e), respectively. (i) Schematic of the PACT imaging system. P1, P2, and P3 are prisms; L1: planoconcave lens; The rotating disc is connected to UST and controlled by a stepper motor. The UST and sample are immersed in a water bath for better acoustic coupling.
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    Image Search Results


    (a) Schematic illustration of circular scanning geometry. (b) Simulation geometry used in MATLAB k-wave toolbox. UST: ultrasound transducer. (c) Point source numerical phantom. (d) Vessel source numerical phantom. (e) Brain source numerical phantom. (f-h) One representative image for (c-e), respectively. (i) Schematic of the PACT imaging system. P1, P2, and P3 are prisms; L1: planoconcave lens; The rotating disc is connected to UST and controlled by a stepper motor. The UST and sample are immersed in a water bath for better acoustic coupling.

    Journal: Biomedical Optics Express

    Article Title: Sinogram to image: direct reconstruction of photoacoustic tomography image using a hybrid deep learning approach

    doi: 10.1364/BOE.569549

    Figure Lengend Snippet: (a) Schematic illustration of circular scanning geometry. (b) Simulation geometry used in MATLAB k-wave toolbox. UST: ultrasound transducer. (c) Point source numerical phantom. (d) Vessel source numerical phantom. (e) Brain source numerical phantom. (f-h) One representative image for (c-e), respectively. (i) Schematic of the PACT imaging system. P1, P2, and P3 are prisms; L1: planoconcave lens; The rotating disc is connected to UST and controlled by a stepper motor. The UST and sample are immersed in a water bath for better acoustic coupling.

    Article Snippet: A simulated dataset was generated using the k-Wave toolbox in MATLAB [ ], forming the foundation for training our network.

    Techniques: Imaging