Abstract: In accordance with some embodiments, systems, methods and media for high dynamic range imaging using dead-time-limited single photon detectors are provided. In some embodiments, a system for high dynamic range imaging is provided, comprising: an image sensor comprising: a pixels comprising: a single photon detector having dead time ?d; and a counter coupled to an output of the single photon detector, wherein the counter is configured to increment in response to a signal indicative of detection of a photon output by the single photon detector; and a processor that is programmed to: read out a value stored by the counter after an exposure time has elapsed; and calculate an intensity for the pixel based on the value and the dead time ?d.

Abstract: In accordance with some embodiments, systems, methods and media for high dynamic range imaging using dead-time-limited single photon detectors are provided. In some embodiments, a system for high dynamic range imaging is provided, comprising: an image sensor comprising: a pixels comprising: a single photon detector having dead time ?d; and a counter coupled to an output of the single photon detector, wherein the counter is configured to increment in response to a signal indicative of detection of a photon output by the single photon detector; and a processor that is programmed to: read out a value stored by the counter after an exposure time has elapsed; and calculate an intensity for the pixel based on the value and the dead time ?d.

Abstract: Interpolation of ultrasound data at regular grid locations is provided by simultaneously optimizing interpolated data according to fidelity of interpolation of the voxel data to actual measured spatial data and according to a gradient of the interpolated data. This process is made amenable to real-time processing by limiting the range of interpolation to produce a sparse interpolated matrix that may be readily inverted. Artifacts and inefficiencies from successive stages of interpolation and data smoothing are thereby avoided.

Abstract: High-speed three-dimensional reconstruction of elasticity data is obtained by acquiring a sparse set of data in planes sharing a common axis line and angularly arrayed about the axis line. The axis line may be an RF ablation probe and the reconstruction may enforce a circumferential smoothness in the reconstruction about the probe, as is compatible with an ablation volume.

Abstract: Interpolation of ultrasound data at regular grid locations is provided by simultaneously optimizing interpolated data according to fidelity of interpolation of the voxel data to actual measured spatial data and according to a gradient of the interpolated data. This process is made amenable to real-time processing by limiting the range of interpolation to produce a sparse interpolated matrix that may be readily inverted. Artifacts and inefficiencies from successive stages of interpolation and data smoothing are thereby avoided.

Abstract: High-speed three-dimensional reconstruction of elasticity data is obtained by acquiring a sparse set of data in planes sharing a common axis line and angularly arrayed about the axis line. The axis line may be an RF ablation probe and the reconstruction may enforce a circumferential smoothness in the reconstruction about the probe, as is compatible with an ablation volume.