A Modified Orthogonal-Distance Ray-Tracer Method Applied to Dual Rotation PET Systems (raw data)
DOI10.5281/zenodo.12761721Zenodo12761721MaRDI QIDQ6709627
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 17 July 2025
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This repository contains the dataset used to validate a novel projector, the Orthogonal-Distance Ray-Tracer Varying-Full Width at Half Maximum (OD-RT-VF). This projector was developed to model a shift-variant elliptical point-spread function (PSF) response, aiming to enhance image quality in a preclinical dual-rotation PET system. The dataset is provided in the easyPET format, which includes: Header: Contains metadata about the acquisition, structured as a binary file. Version_binary, header, dates, otherinfo, acquisitionInfo, stringdata, systemConfigurations_info, energyfactor_info, peakMatrix_info The header is processed into a JSON format. e.g. systemConfigurations_info = np.fromfile(binary_file, dtype='|S1', count=size_systemConfigurations[0]* 2).astype('|U1')systemConfigurations_info = systemConfigurations_info.tolist()systemConfigurations_info = .join(systemConfigurations_info)systemConfigurations_info = json.loads(systemConfigurations_info) 7 or 8 arrays: stores the primary data. Motor angles, Detector IDs, Photon Energies and time of arrival number_of_arrays = 7 # or 8 for simulationsreading_data = np.fromfile(binary_file, dtype=[('stepbot', np.int16), ('steptop', np.int16), ('idA', np.int16), ('idB', np.int16), ('EA', np.int16), ('EB', np.int16), ('time', np.float64), ('time_b', np.float64)]) step_bot = round(header[1], 4) / header[2]step_top = round(header[3], 4) / header[4]topRange = header[5]listMode = np.zeros((len(reading_data["stepbot"]), number_of_arrays))listMode[:, 0] = reading_data["EA"] # energias AlistMode[:, 1] = reading_data["EB"] # energias BlistMode[:, 2] = reading_data["idA"] # id AlistMode[:, 3] = reading_data["idB"] # id bif open_files_to_join: # This dont change the data in the way to merge the acquisitions files in just one listMode[:, 4] = (reading_data["stepbot"]) # *2 # bot angle remove factor of 2 because it is already saved that way listMode[:, 5] = (reading_data["steptop"] ) # top_angleelse: listMode[:, 4] = (reading_data["stepbot"]) * step_bot #*2 # bot angle remove factor of 2 because it is already saved that way listMode[:, 5] = (reading_data["steptop"] * step_top - topRange / 2) # top_anglelistMode[:, 6] = reading_data["time"] # timeif Version_binary == "Version 3": listMode[:, 7] = reading_data["time_b"] # time If you are interested in the data but are unable to read it due to its non-conventional file format, we can provide a script upon request to facilitate access.
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