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

0.0.3

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-0.0.3.tar.gz (25.0 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-0.0.3-py3-none-any.whl (27.2 kB view details)

Uploaded Python 3

File details

Details for the file pyrt_lib_rasmusklitgaard-0.0.3.tar.gz.

File metadata

  • Download URL: pyrt_lib_rasmusklitgaard-0.0.3.tar.gz
  • Upload date:
  • Size: 25.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.0.3.tar.gz
Algorithm Hash digest
SHA256 67197fe7ceb91f5849793868dfc7294127ffa9cebd6eb5dac55f6a1e5483c9e5
MD5 040f9a316dcdc9c313a7fbdaa47658d8
BLAKE2b-256 f6a584329451b6eea01cb78a81b55a32d1e63e1a3dc6bed71985ab179b75dfa3

See more details on using hashes here.

File details

Details for the file pyrt_lib_rasmusklitgaard-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 7227911dfd4839e1e6c8dc5b9deeda24ef6526dc073db1455e15eba18d8585c7
MD5 b1857d5b4a4bbbdcb11291b183e9a9ca
BLAKE2b-256 64cc1a508f9836ee5a6c5a5af12099247a2cbb212352d172e3d008f72cc2bfc4

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