SlowBackprojection

SlowBackprojection#

class patato.recon.numpy_backprojection.recon.SlowBackprojection(n_pixels: Sequence[int], field_of_view: Sequence[float], **kwargs)[source]#

Bases: ReconstructionAlgorithm

Slow example backprojection.

__init__(n_pixels: Sequence[int], field_of_view: Sequence[float], **kwargs)#

Methods

__init__(n_pixels, field_of_view, **kwargs)

add_child(child)

get_algorithm_name()

pre_prepare_data(x)

reconstruct(time_series, fs, geometry, ...)

run(time_series, pa_data[, speed_of_sound, ...])

static get_algorithm_name() → str[source]#
Returns:

Algorithm name.

Return type:

str

reconstruct(time_series: ndarray, fs: float, geometry: ndarray, n_pixels: Sequence[int], field_of_view: Sequence[float], speed_of_sound: float, **kwargs) → ndarray[source]#
Parameters:

  • time_series (array_like) – Photoacoustic time series data in a numpy array. Shape: (…, n_detectors, n_time_samples)

  • fs (float) – Time series sampling frequency (Hz).

  • geometry (array_like) – The detector geometry. Shape: (n_detectors, 3)

  • n_pixels (tuple of int) – Tuple of length 3, (nx, ny, nz)

  • field_of_view (tuple of float) – Tuple of length 3, (lx, ly, lz) - the size of the reconstruction volume.

  • speed_of_sound (float) – Speed of sound (m/s).

  • kwargs – Extra parameters (optional), useful for advanced algorithms (e.g. multi speed of sound etc.).

Returns:

The reconstructed image.

Return type:

array_like

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