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

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-0.4.8.tar.gz (36.6 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-0.4.8-py3-none-any.whl (39.1 kB view details)

Uploaded Python 3

File details

Details for the file pyrt_lib_rasmusklitgaard-0.4.8.tar.gz.

File metadata

  • Download URL: pyrt_lib_rasmusklitgaard-0.4.8.tar.gz
  • Upload date:
  • Size: 36.6 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-0.4.8.tar.gz
Algorithm Hash digest
SHA256 293dd7f199f7d3b4cf526eac23b6dce9adfefb801119504d12ce780941f9e387
MD5 6dbed56193c0be916c1edfdb13e55f9d
BLAKE2b-256 b03ba64e68c53d773a6ab5a350db4af58ea593cdf6465b5243f937a2de106f83

See more details on using hashes here.

File details

Details for the file pyrt_lib_rasmusklitgaard-0.4.8-py3-none-any.whl.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.4.8-py3-none-any.whl
Algorithm Hash digest
SHA256 7fefb4b432d05fefb6aa868227c2d79dc3d2cfb37f640261eb78c9b66b8831d4
MD5 48a2f251dea2f4d918f5e60f4fb85465
BLAKE2b-256 f7d2c7dd2266658d5206fe1521509cc258ecf397a0004601f42dfb51d3e082c6

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