pyquantus.parse.philipsRf module

class pyquantus.parse.philipsRf.HeaderInfoStruct

Bases: object

Philips-specific structure containing information from the headers.

class pyquantus.parse.philipsRf.PhilipsRfParser

Bases: object

Class for parsing Philips RF data files.

SortRF(RFinput, Stride, ML, CRE=1, isVoyager=True)

Sort RF data based on various parameters.

callGetPartA(numClumps: int, filename: str, offset: int) → ndarray

Call getPartA function.

callGetPartB(numClumps: int, filename: str, offset: int) → ndarray

Call getPartB function.

findSignature(filepath: Path)

Find signature in file.

getFillerZeros(num)

Get filler zeros string.

parseDataF(rawrfdata, headerInfo)

Parse data for Fusion data.

parseDataV(rawrfdata, headerInfo)

Parse data for Voyager data.

parseFileHeader(file_obj, endianness)

Parse file header.

parseHeaderF(rawrfdata)

Parse header for Fusion data.

parseHeaderV(rawrfdata)

Parse header for Voyager data.

parse_and_save(filepath: str, ML_out: int = 2, ML_in: int = 32, used_os: int = 2256, save_format: str = 'mat') → ndarray

Parse Philips RF data file, save as .mat or .npy file, and return shape of data.

Parameters:

  • filepath – Path to RF data file

  • ML_out – Output multiline factor (default: 2)

  • ML_in – Input multiline factor (default: 32)

  • used_os – Used offset samples (default: 2256)

  • save_format – Output file format, either ‘mat’ or ‘npy’ (default: ‘mat’)

Returns:

Shape of the fundamental RF data array

Return type:

np.ndarray

parse_rf(filepath: str, readOffset: int = 0, readSize: int = 2000) → Rfdata

Open and parse RF data file.

Parameters:

  • filepath – Path to RF data file

  • readOffset – Offset in MB to start reading from

  • readSize – Size in MB to read

Returns:

Parsed RF data structure

Return type:

Rfdata

pruneData(lineData, lineHeader, ML_Capture)

Remove false gate data at beginning and end of the line.

class pyquantus.parse.philipsRf.Rfdata

Bases: object

Philips-specific structure containing constructed RF data.

class pyquantus.parse.philipsRf.dbParams

Bases: object

Philips-specific structure containing signal properties of the scan.

pyquantus.parse.philipsRf.philipsRfParser(filepath: str, ML_out=2, ML_in=32, used_os=2256, save_format='mat') → ndarray

Parse Philips RF data file, extract fundamental and harmonic RF frames, save data to a .mat file, and return shape of fundamental RF data.