tomo_phantom_loader.rst

{% extends "plugin_template.rst" %}

{% block title %}Tomo Phantom Loader{% endblock %}

{% block description %} A hdf5 dataset of a specified size is created at runtime using Tomophantom to generate synthetic data , saved with relevant meta_data to a NeXus file, and used as input. It recreates the behaviour of the nxtomo loader but with synthetic data. The input file path passed to Savu will be ignored (use a dummy). {% endblock %}

{% block parameter_yaml %}

preview:

visibility: basic dtype: preview description: A slice list of required frames. default: "[]"

proj_data_dims:

visibility: basic dtype: "[list[float], list[]]" description: "A list specifiying the sizes of dimensions of the generated 3D projection data in the following format [Angles, DetectorsY, DetectorsX]." default: "[180, 128, 160]"

axis_labels:

visibility: basic dtype: "list[str]" description: A list of axis labels. default: "['rotation_angle.degrees', 'detector_y.pixels', 'detector_x.pixels']"

tomo_model:

visibility: basic dtype: int description: Select a model number from the library (see TomoPhantom dat files). default: "13"

patterns:

visibility: hidden dtype: "list[str]" description: projection data object patterns. default: "['SINOGRAM.0c.1s.2c', 'PROJECTION.0s.1c.2c']"

axis_labels_phantom:

visibility: hidden dtype: "list[str]" description: A list of axis labels. default: "['detector_z.pixels', 'detector_y.pixels', 'detector_x.pixels']"

patterns_tomo2:

visibility: hidden dtype: "list[str]" description: Phantom data object patterns. default: "['VOLUME_XZ.0c.1s.2c', 'VOLUME_XY.0s.1c.2c']"

out_datasets:

visibility: datasets dtype: "list[str]" description: The names assigned to the datasets. default: "['synth_proj_data', 'phantom']"

{% endblock %}

{% block plugin_citations %}

TomoPhantom, a software package to generate 2D-4D analytical phantoms for CT image reconstruction algorithm benchmarks by Kazantsev, Daniil et al.

Bibtex

@article{kazantsev2018tomophantom,
  title={TomoPhantom, a software package to generate 2D-4D analytical phantoms for CT image reconstruction algorithm benchmarks},
  author={Kazantsev, Daniil and Pickalov, Valery and Nagella, Srikanth and Pasca, Edoardo and Withers, Philip J},
  journal={SoftwareX},
  volume={7},
  pages={150--155},
  year={2018},
  publisher={Elsevier}
}

Endnote

%0 Journal Article
%T TomoPhantom, a software package to generate 2D-4D analytical phantoms for CT image reconstruction algorithm benchmarks
%A Kazantsev, Daniil
%A Pickalov, Valery
%A Nagella, Srikanth
%A Pasca, Edoardo
%A Withers, Philip J
%J SoftwareX
%V 7
%P 150-155
%@ 2352-7110
%D 2018
%I Elsevier

{% endblock %}

{% block plugin_file %}../../../../plugin_api/plugins.loaders.full_field_loaders.tomo_phantom_loader.rst{% endblock %}