PYthon RadioTherapy library

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for rasmusklitgaard from gravatar.com rasmusklitgaard

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for rasmusklitgaard from gravatar.com rasmusklitgaard

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.7.4

0.7.3

0.7.2

0.7.1

0.6.20

0.6.19

0.6.18

0.6.17

0.6.16

This version

0.6.15

0.6.14

0.6.13

0.6.12

0.6.11

0.6.10

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.4.18

0.4.17

0.4.15

0.4.14

0.4.13

0.4.12

0.4.11

0.4.10

0.4.9

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.3.10

0.3.9

0.3.8

0.3.7

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.1.3

0.1.2

0.1.1

0.1.0

0.0.39

0.0.38

0.0.37

0.0.36

0.0.35

0.0.34

0.0.33

0.0.32

0.0.31

0.0.30

0.0.29

0.0.28

0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

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-0.6.15.tar.gz (40.5 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-0.6.15-py3-none-any.whl (43.3 kB view details)

Uploaded Python 3

File details

Details for the file pyrt_lib_rasmusklitgaard-0.6.15.tar.gz.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.6.15.tar.gz
Algorithm Hash digest
SHA256 ede90923a42649cfc8a65272cc0696cb34cc41ddf3c44c26555b62f1be062df5
MD5 7a9f577fe8eb4acbe6357c24928c4ebb
BLAKE2b-256 e5131dab4929df831415f3168d21c04525b6b541dca3793f816c2a7b7d54120d

See more details on using hashes here.

File details

Details for the file pyrt_lib_rasmusklitgaard-0.6.15-py3-none-any.whl.

File metadata

File hashes

Hashes for pyrt_lib_rasmusklitgaard-0.6.15-py3-none-any.whl
Algorithm Hash digest
SHA256 3f38d32a9e09842add7339d6f4f7912f6639494b584c5554745e60aa79921534
MD5 85a586a68542cf3480d3f345d4e5bdd3
BLAKE2b-256 dede1606090272bb0f189ea0b612bc1313f15048d5fff5274c8628b1f8ff571e

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