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-0.3.10.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-0.3.10-py3-none-any.whl (33.5 kB view details)

Uploaded Python 3

File details

Details for the file pyrt_lib_rasmusklitgaard-0.3.10.tar.gz.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.3.10.tar.gz
Algorithm Hash digest
SHA256 3e42d9498999ccd51e792a02901f45fcce2a9755a87d5aaa617971d668cc3e62
MD5 096f93b4e5d3dd228239af9be548bb55
BLAKE2b-256 65841af6106da019b34d9b61f82c0ffbd20bbf5cb5aa928cdab4653851417af6

See more details on using hashes here.

File details

Details for the file pyrt_lib_rasmusklitgaard-0.3.10-py3-none-any.whl.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.3.10-py3-none-any.whl
Algorithm Hash digest
SHA256 b3d19a3f3bf7e8136611c6ad9c11d821d18378bfbe670f5746dd2570b9fd54d8
MD5 d61f79dab69b48e341e9300a0240c330
BLAKE2b-256 f0b8f0530e323ca572e7e39d8d6387419f78f78047c2cc7eae0e0b91bc8b8786

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