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-0.0.37.tar.gz (27.7 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-0.0.37-py3-none-any.whl (29.7 kB view details)

Uploaded Python 3

File details

Details for the file pyrt_lib_rasmusklitgaard-0.0.37.tar.gz.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.0.37.tar.gz
Algorithm Hash digest
SHA256 93b30d24bf90efc38c4292b2f9c6aae5f253096255891d9bc4a12ffcacedcf48
MD5 7e68315346e4af62468c0c6e4287fa16
BLAKE2b-256 361300dfd736e46b616af94a0e2dbc936c0eaa2efda2e03c08f33aa932cf5e10

See more details on using hashes here.

File details

Details for the file pyrt_lib_rasmusklitgaard-0.0.37-py3-none-any.whl.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.0.37-py3-none-any.whl
Algorithm Hash digest
SHA256 f1048793834585076ca16ab98d209dba120e1c4b5088665484aee35193edd085
MD5 35956dc5d5697af288404f8403a3da8f
BLAKE2b-256 020054330b8d96c3bd5a071560151038e4bd26abe20ba3c4be721933394f2cf4

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