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

0.6.3

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-0.6.3.tar.gz (40.0 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-0.6.3-py3-none-any.whl (42.7 kB view details)

Uploaded Python 3

File details

Details for the file pyrt_lib_rasmusklitgaard-0.6.3.tar.gz.

File metadata

  • Download URL: pyrt_lib_rasmusklitgaard-0.6.3.tar.gz
  • Upload date:
  • Size: 40.0 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-0.6.3.tar.gz
Algorithm Hash digest
SHA256 65c96f448d22a41c08b1d9770bad5cecc37f2e6e3528e40ddd3dba47f2e888b8
MD5 8e9340f9a7b105eb0c8863f7e1df8cc5
BLAKE2b-256 c5db0d44498a335b55c8096d18bd2bb3a627247705054c7c0bd636ea4ed96d76

See more details on using hashes here.

File details

Details for the file pyrt_lib_rasmusklitgaard-0.6.3-py3-none-any.whl.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.6.3-py3-none-any.whl
Algorithm Hash digest
SHA256 5eba4a92692380aaa0c96f20f91b2c4422b58c88e1743d9ff7a7937111092b3e
MD5 e5738c43715a779ad65b4cdf2eebc3c5
BLAKE2b-256 5ad327224b09e6215286d91c2c18b250c168701189d756df8decb41a9037ef44

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