Batch analyze DICOM-RT Plan files to calculate complexity scores
DVH Analytics (DVHA) is a software application for building a local database of radiation oncology treatment planning data. It imports data from DICOM-RT files (i.e., plan, dose, and structure), creates a SQL database, provides customizable plots, and provides tools for generating linear, multi-variable, and machine learning regressions.
DVHA-MLCA is a stand-alone command-line script to batch analyze DICOM-RT Plans using the MLC Analyzer code from DVHA.
Complexity score based on: Younge KC, Matuszak MM, Moran JM, McShan DL, Fraass BA, Roberts DA. Penalization of aperture complexity in inversely planned volumetric modulated arc therapy. Med Phys. 2012;39(11):7160–70.
To install via pip:
$ pip install dvha-mlca
If you've installed via pip or setup.py, launch from your terminal with:
$ mlca <init-scanning-directory>
If you've cloned the project, but did not run the setup.py installer, launch DVHA-MLCA with:
$ python mlca/main.py <init-scanning-directory>
usage: mlca [-h] [-of OUTPUT_FILE] [-xw COMPLEXITY_WEIGHT_X]
[-yw COMPLEXITY_WEIGHT_Y] [-xs MAX_FIELD_SIZE_X]
[-ys MAX_FIELD_SIZE_Y] [-ver] [-v] [-n PROCESSES]
[init_dir]
Command line DVHA MLC Analyzer
positional arguments:
init_dir Directory containing DICOM-RT Plan files
optional arguments:
-h, --help show this help message and exit
-of OUTPUT_FILE, --output-file OUTPUT_FILE
Output will be saved as
dvha_mlca_<version>_results_<time-stamp>.csv by
default.
-xw COMPLEXITY_WEIGHT_X, --x-weight COMPLEXITY_WEIGHT_X
Complexity coefficient for x-dimension: default = 1.0
-yw COMPLEXITY_WEIGHT_Y, --y-weight COMPLEXITY_WEIGHT_Y
Complexity coefficient for y-dimension: default = 1.0
-xs MAX_FIELD_SIZE_X, --x-max-field-size MAX_FIELD_SIZE_X
Maximum field size in the x-dimension: default = 400.0
(mm)
-ys MAX_FIELD_SIZE_Y, --y-max-field-size MAX_FIELD_SIZE_Y
Maximum field size in the y-dimension: default = 400.0
(mm)
-ver, --version Print the DVHA-MLCA version
-v, --verbose Print final results and plan summaries as they are
analyzed
-n PROCESSES, --processes PROCESSES
Enable multiprocessing, set number of parallel
processes
For example:
$ mlca "C:\PatientDicom" -n 8
Directory: C:\PatientDicom
Begin file tree scan ...
File tree scan complete
Searching for DICOM-RT Plan files ...
100%|██████████████████████████████| 9087/9087 [00:59<00:00, 153.52it/s]
1650 DICOM-RT Plan file(s) found
Analyzing 1650 file(s) ...
10%|███ | 169/1650 [02:02<13:35, 1.82it/s]
If you like DVHA-MLCA and would like to support our mission, all we ask is that you cite us if we helped your publication, or help the DVHA community by submitting bugs, issues, feature requests, or solutions on the issues page.
DOI: https://doi.org/10.1002/acm2.12401 Cutright D, Gopalakrishnan M, Roy A, Panchal A, and Mittal BB. "DVH Analytics: A DVH database for clinicians and researchers." Journal of Applied Clinical Medical Physics 19.5 (2018): 413-427.