Abstract:
Various embodiments are described herein for an imaging device and associated method for performing fluence compensation on a photoacoustic (PA) image of at least a portion of an object for sets of RF acoustic response signals that are obtained using different illumination wavelengths. A first set of RF acoustic response signals is fluence matched to a second set of RF acoustic response signals by determining relative frequency data for first set of RF acoustic response signals relative to the second set of RF acoustic response signals and using the relative frequency data to filter the first set of RF acoustic response signals.
Abstract:
Methods and apparatuses for controlling the size of microbubbles are provided herein. The methods include forming a microbubble in a liquid at an inlet end of a liquid microchannel, the liquid microchannel having. an outlet end spaced from the inlet end and a liquid microchannel conduit extending therebetween. As the liquid is propelled along a length of the liquid microchannel, the liquid carry the microbubble, a negative pressure is applied to a first very low pressure microchannel having a first end, a second end spaced from the first end and a first very low pressure microchannel conduit extending between the first end and the second end and having a portion thereof being laterally spaced from and adjacent to a portion of the liquid microchannel conduit. The negative pressure withdraws air from the microbubble in the liquid microchannel to shrink the microbubble as the microbubble travels along the portion of the liquid microchannel conduit.
Abstract:
Provided herein is a method to detect, characterize and classify a particle comprising: controlling a light source and an ultrasound transducer to irradiate the particle with light and an ultrasound pulse; determining a feature associated with the particle by processing ultrasound data resulting from the particle being irradiated; and comparing the feature to a reference to determine at least one property of the particle. According to some non-limiting implementations, the feature comprises a power spectrum of the particle. According to some non-limiting implementations, the ultrasound data is processed to determine characteristics in a range of about 100 MHz to about 1000 MHz of the power spectrum. According to some non-limiting implementations, the ultrasound pulse is in a range of about 100 MHz to about 1000 MHz. A computing device to detect, characterize and classify a particle is also provided.
Abstract:
There is provided a method for sensing a sample. The method includes the following steps: first a light beam is directed onto the sample. The sample transmits at least a portion of the light beam to form a transmitted light beam. Next, the transmitted light beam is received at an acoustic transducer. The acoustic transducer absorbs at least a portion of the transmitted light beam and in response generated an acoustic wave. Subsequently, an electrical signal is generated at the acoustic transducer. The electrical signal is generated based on at least a portion of the acoustic wave.
Abstract:
The invention generally relates to the field of synthetic aperture imaging. In particular, the invention relates to systems and methods for generating synthetic transmit aperture ("STA") signals and processing synthetic aperture imaging ("SAI") signals for improved signal-to-noise ratio ("SNR") and spatial resolution. This generally relates to a method to improve the signal-noise-ratio (SNR) of array signals by both encoding the transmission from multiple array elements with waveform modifications and time delays and encoding the receivers into output channels and decoding the measured signals at the selected output channels to estimate the equivalent received signals of a receiver as if only one transmitting element were fired individually in each transmission event. SAI techniques are subsequently applied to the equivalent SAI signals to obtain improved images.
Abstract:
Optical Coherence Tomography (OCT) is a high-resolution, non-invasive technique to image subsurface tissue and tissue functions. A broadband light source illuminates an object and the reflected photons are processed using an interferometer, demodulated into inphase and quadrature components and then digitized. The captured data contains information about the velocity of the moving scatterers but current Doppler estimation algorithms have a limited velocity detection range. Using a two dimensional velocity estimation, Doppler OCT (DOCT) can be used for the detection of in vivo aortic blood flow rates of over 1 m/s peak velocity through an esophage al DOCT probe. Previous methods have used a transverse Kasai (TK) autocorrelation estimation to estimate the velocity which is good for slow velocities, such as in the microvasculature. By calculating the Kasai autocorrelation with a lag in the depth or axial direction, backscattered frequency information is obtained which yields high velocity rate informatio n. Through subtraction with stationary backscattered information, the Doppler shift is obtained by the axial Kasai (AK) technique. Through utilizing information from two dimensions, velocities can be resolved which spans rates from the microcirculation to cardiac blood flow velocities.
Abstract:
Provided herein is a method to detect, characterize and classify a particle comprising: controlling a light source and an ultrasound transducer to irradiate the particle with light and an ultrasound pulse; determining a feature associated with the particle by processing ultrasound data resulting from the particle being irradiated; and comparing the feature to a reference to determine at least one property of the particle. According to some non-limiting implementations, the feature comprises a power spectrum of the particle. According to some non-limiting implementations, the ultrasound data is processed to determine characteristics in a range of about 100 MHz to about 1000 MHz of the power spectrum. According to some non-limiting implementations, the ultrasound pulse is in a range of about 100 MHz to about 1000 MHz. A computing device to detect, characterize and classify a particle is also provided.
Abstract:
A computing device system and method for detecting cell death in a biological sample is provided. A plurality of optical coherence tomography (OCT) data sets are received, each representative of OCT backscatter data collected from the biological sample and comprising respective signal fluctuation as a function of time at different respective times over a given time period. Respective indications of respective signal decorrelation rates are determined for each of the plurality of OCT data sets at each of the different respective time. It is determined that cell death has occurred in the biological sample when the respective indications of respective signal decorrelation rates changes over the given time period
Abstract:
Various embodiments are described herein for an imaging device and associated method for performing fluence compensation on a photoacoustic (PA) image of at least a portion of an object for sets of RF acoustic response signals that are obtained using different illumination wavelengths. A first set of RF acoustic response signals is fluence matched to a second set of RF acoustic response signals by determining relative frequency data for first set of RF acoustic response signals relative to the second set of RF acoustic response signals and using the relative frequency data to filter the first set of RF acoustic response signals.
Abstract:
Various embodiments are described herein for a system and associated method for performing collagen assessment of an object using Photoacoustic Image (PA) data obtained for the object, wherein the method is performed by a processing unit and the method comprises: obtaining beamformed PA image data for the object using at least three wavelengths related to chromophores including collagen, oxyhemoglobin and deoxyhemoglobin, the three wavelengths being less than 1000 nm; performing spectral decomposition on the beamformed PA image data using the three wavelengths to obtain data that is used for generating at least one collagen map; and determining a collagen score for the at least one collagen map.