mach.io.uff

mach.io.uff#

Data loader for UFF (ultrasound file format) files.

Usage: pass in a scan-object from: magnusdk/pyuff_ustb

Functions

compute_tx_wave_arrivals_s(directions, ...)

Compute transmit arrival times for plane wave imaging.

create_beamforming_setup(channel_data, scan)

Create complete beamforming setup from channel data and scan parameters for all transmits.

create_single_transmit_beamforming_setup(...)

Create beamforming setup for a single transmit (backwards compatibility).

extract_sequence_delays(sequence[, xp])

Extract delay times from ultrasound sequence.

extract_wave_directions(sequence, xp)

Extract wave propagation directions from ultrasound sequence.

preprocess_signal(signal_data, ...[, xp])

Preprocess ultrasound signal data for multi-transmit beamforming.
mach.io.uff.compute_tx_wave_arrivals_s(
directions: Array,
scan_coords_m: Array,
speed_of_sound: float,
origin: Array | None = None,
xp=None,
) → Array#

Compute transmit arrival times for plane wave imaging.

Parameters:

  • directions – List of wave direction vectors

  • scan_coords_m – Output positions for beamforming (N, 3) in meters

  • speed_of_sound – Speed of sound in the medium

  • origin – Wave origin point, defaults to [0, 0, 0] Can also be parsed from ultrasound_angles_to_cartesian(channel_data.sequence[idx].origin)

  • xp – Array namespace (optional, will be inferred from scan_coords_m)

Returns:

Array of transmit arrival times with shape (n_transmits, n_points)

mach.io.uff.create_beamforming_setup(
channel_data,
scan,
f_number: float = 1.7,
xp=None,
) → dict[str, Any]#

Create complete beamforming setup from channel data and scan parameters for all transmits.

Parameters:

  • channel_data – Channel data object containing signal

  • scan – Scan object containing spatial parameters

  • f_number – F-number for beamforming

  • xp – Array namespace (if None, will use numpy)

Returns:

Dictionary containing all beamforming parameters for multi-transmit beamforming

mach.io.uff.create_single_transmit_beamforming_setup(
channel_data,
scan,
wave_index: int = 0,
f_number: float = 1.7,
xp=None,
) → dict[str, Any]#

Create beamforming setup for a single transmit (backwards compatibility).

Parameters:

  • channel_data – Channel data object containing signal

  • scan – Scan object containing spatial parameters

  • wave_index – Index of wave to use for beamforming

  • f_number – F-number for beamforming

  • xp – Array namespace (if None, will use numpy)

Returns:

Dictionary containing beamforming parameters for single transmit

mach.io.uff.extract_sequence_delays(
sequence: list[Any],
xp=None,
) → Array#

Extract delay times from ultrasound sequence.

Parameters:

  • sequence – List of wave objects

  • xp – Array namespace (if None, will use numpy)

Returns:

Array of delay times with shape (n_transmits,)

mach.io.uff.extract_wave_directions(
sequence: list[Any],
xp,
) → Array#

Extract wave propagation directions from ultrasound sequence.

Parameters:

  • sequence – List of wave objects containing source information

  • xp – Array namespace (numpy, cupy, etc.)

Returns:

Array of direction vectors with shape (n_transmits, 3)

mach.io.uff.preprocess_signal(
signal_data: Array,
modulation_frequency: float,
xp=None,
) → Array#

Preprocess ultrasound signal data for multi-transmit beamforming.

Parameters:

  • signal_data – Raw signal data with shape (n_samples, n_elements, n_waves) or (n_samples, n_elements, n_waves, n_frames)

  • modulation_frequency – Modulation frequency in Hz

  • xp – Array namespace (optional, will be inferred from signal_data)

Returns:

Preprocessed signal array with shape (n_transmits, n_receive_elements, n_samples, n_frames)

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