k-Wave Toolbox

• Getting Started
• Run the First Example
• Build Your Own Simulation
• Troubleshooting
• Reference List
• Examples
• Initial Value Problems
• Example: Homogenous Propagation Medium
• Example: Using A Binary Sensor Mask
• Example: Defining A Sensor Mask By Opposing Corners
• Example: Loading External Image Maps
• Example: Heterogeneous Propagation Medium
• Example: Saving Movie Files
• Example: Recording The Particle Velocity
• Example: Defining A Gaussian Sensor Frequency Response
• Example: Comparison Of Modelling Functions
• Example: Setting An Initial Pressure Gradient
• Example: Simulations In One Dimension
• Example: Simulations In Three Dimensions
• Example: Photoacoustic Waveforms in 1D, 2D and 3D
• Time Varying Source Problems
• Example: Monopole Point Source In A Homogeneous Propagation Medium
• Example: Dipole Point Source In A Homogeneous Propagation Medium
• Example: Simulating Transducer Field Patterns
• Example: Steering A Linear Array
• Example: Snell's Law And Critical Angle Reflection
• Example: The Doppler Effect
• Example: Diffraction Through A Slit
• Example: Simulations In Three-Dimensions
• Sensor Directivity
• Example: Focussed Detector in 2D
• Example: Focussed Detector in 3D
• Example: Modelling Sensor Directivity in 2D
• Example: Modelling Sensor Directivity in 3D
• Example: Sensor Element Directivity in 2D
• Example: Focussed 2D Array with Directional Elements
• Photoacoustic Image Reconstruction
• Example: 2D FFT Reconstruction For A Line Sensor
• Example: 3D FFT Reconstruction For A Planar Sensor
• Example: 2D Time Reversal For A Line Sensor
• Example: 2D Time Reversal For A Circular Sensor
• Example: 3D Time Reversal For A Planar Sensor
• Example: 3D Time Reversal For A Spherical Sensor
• Example: Image Reconstruction With Directional Sensors
• Example: Image Reconstruction With Bandlimited Sensors
• Example: Iterative Image Improvement Using Time Reversal
• Example: Attenuation Compensation Using Time Reversal
• Example: Attenuation Compensation Using Time Variant Filtering
• Example: Automatic Sound Speed Selection
• Diagnostic Ultrasound Simulation
• Example: Defining An Ultrasound Transducer
• Example: Simulating Ultrasound Beam Patterns
• Example: Using An Ultrasound Transducer As A Sensor
• Example: Simulating B-mode Ultrasound Images
• Example: Simulating B-mode Images Using A Phased Array
• Numerical Analysis
• Example: Controlling The Absorbing Boundary Layer
• Example: Source Smoothing
• Example: Filtering A Delta Function Input Signal
• Example: Modelling Power Law Absorption
• Example: Modelling Nonlinear Wave Propagation
• Example: Optimising k-Wave Performance
• Using The C++ Code
• Example: Running C++ Simulations
• Example: Saving Input Files in Parts
• Elastic Wave Propagation
• Example: Explosive Source In A Layered Medium
• Example: Plane Wave Absorption
• Example: Shear Waves And Critical Angle Reflection
• Example: Simulations In Three Dimensions
• Functions - By Category
• Functions - Alphabetical List
• Release Notes
• License

k-Wave Toolbox

unmaskSensorData

Reorder data recorded using a binary sensor mask

Syntax

unmasked_sensor_data = unmaskSensorData(kgrid, sensor, sensor_data)

Description

unmaskSensorData restores the grid position of the data recorded at a single time-step within the time-series data returned by kspaceFirstOrder1D, kspaceFirstOrder2D, or kspaceFirstOrder3D when using a binary sensor mask.

Inputs

kgrid	k-Wave grid structure returned by makeGrid
sensor	k-Wave sensor structure where sensor.mask is defined as a binary grid
sensor_data	sensor data (returned by the first order simulation functions) at a single time-step ordered using MATLAB's standard column-wise linear matrix indexing

Outputs

unmasked_sensor_data

Grid with the sensor data reordered to its original position on the sensor mask

See Also

makeGrid, kspaceFirstOrder1D, kspaceFirstOrder2D, kspaceFirstOrder3D, reorderSensorData

toneBurst

vesselFilter

© 2009-2014 Bradley Treeby and Ben Cox.