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-0.0.33.tar.gz (27.6 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-0.0.33-py3-none-any.whl (29.7 kB view details)

Uploaded Python 3

File details

Details for the file pyrt_lib_rasmusklitgaard-0.0.33.tar.gz.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.0.33.tar.gz
Algorithm Hash digest
SHA256 2abbe603d10c5fa121fcbc572ae403ec058474c4dd937b6d38c58809db298366
MD5 879591daf5ed446fd29fa3ba71b71a2b
BLAKE2b-256 9a11a58796d71e691f122373896ad492b4d5e675955faa65dddad3f4c23abb27

See more details on using hashes here.

File details

Details for the file pyrt_lib_rasmusklitgaard-0.0.33-py3-none-any.whl.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.0.33-py3-none-any.whl
Algorithm Hash digest
SHA256 b2cc24409226fac50f2f81c7c9b59dc538fbda583b24ae534bf9b9fdf5c205b8
MD5 1e4fa03e0967a01ae3332fc1bc02200b
BLAKE2b-256 a5992fd269754e0e145b7cc940ba4f45159bbdd4be3a9b6473bf22606ddcaa5c

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