Skip to main content

PYthon RadioTherapy library

Project description

pyrt-lib

Python based helper library for RT cohort analysis

Classes:

Patient

A class for a patient. Initializes with the path to the directory containing DICOMS, dvhs' (made with makedvh from gitlab.com/dcpt-research/fluka-simulation-batch-tools). Automatically reads all the data and can be queried for dvh parameters and so forth. Also reads metadata - right now from an excel sheet for these patients, but could be altered to any patient cohort.

Cohort

A class for a cohort, a group of patients. Primary function is that it can make sub-cohorts based on a constraint, such as age, toxicity, gamma-pass score or dvh parameters or whatever you want.

Plans

Will contain classes to help with data-flow for patients with CT's, RTSTRUCT's, RTPLAN's, planning RTDOSE distributions as well as Monte Carlo simulations of dose and Linear Energy Transfer.

The library will also include functionality for variable RBE for at least the most used models.

Project details


Release history Release notifications | RSS feed

This version

0.3.9

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyrt_lib_rasmusklitgaard-0.3.9.tar.gz (31.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyrt_lib_rasmusklitgaard-0.3.9-py3-none-any.whl (33.5 kB view details)

Uploaded Python 3

File details

Details for the file pyrt_lib_rasmusklitgaard-0.3.9.tar.gz.

File metadata

  • Download URL: pyrt_lib_rasmusklitgaard-0.3.9.tar.gz
  • Upload date:
  • Size: 31.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.3.9.tar.gz
Algorithm Hash digest
SHA256 54b4ab3c1c60d393d558e6d90164342a07321e3b716ee43c5a80ff92f8740655
MD5 e0ea627befc3ced09826ca087a6b6ef3
BLAKE2b-256 505258a38fb347b178e592723404228ca162219c343692c036deb63552c9ab4b

See more details on using hashes here.

File details

Details for the file pyrt_lib_rasmusklitgaard-0.3.9-py3-none-any.whl.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.3.9-py3-none-any.whl
Algorithm Hash digest
SHA256 5b726c8ecdf15cdb6db5ad45a03fdfd8d808d03e23218f5dc5604aeb3bb7fa31
MD5 922e3fab71c0c2252f692998f03e7fac
BLAKE2b-256 9e2ee64f0ce2cf1e78203ddd5e479c9143f0822531dcc7249b4f2c891b5c808e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page