dicomselect

Create a new database

from pathlib import Path
from dicomselect.database import Database

db_path = Path('dicomselect_archive.db')
db_path.parent.mkdir(parents=True, exist_ok=True)
db = Database(db_path)
db.create('/path/to/archive', max_workers=4)

Select scans

Simple matching of values

from dicomselect.database import Database

mapping = {
    "t2w": {
        "SeriesDescription": [
            "t2_tse_tra_snel_bij bewogen t2 tra",
            "t2_tse_tra",        
            "t2_tse_tra_prostate",
            "t2_tse_tra_snel",
            "t2_tse_tra_Grappa3"
        ]
    },
}

db = Database('/path/to/dicomselect_archive.db').open()
query = db.where("series_description", 'in', mapping["t2w"]["SeriesDescription"])

Pattern matching and combining queries

from dicomselect.database import Database

mapping = {
    "hbv": {
        "SeriesDescription": [
            "ep2d_diff_tra%CALC_BVAL",
            "diffusie-3Scan-4bval_fsCALC_BVAL"
        ],
        "ImageType": [
            r"DERIVED\PRIMARY\DIFFUSION\CALC_BVALUE\TRACEW\DIS2D\DFC",
            r"DERIVED\PRIMARY\DIFFUSION\CALC_BVALUE\TRACEW\DIS2D",
            r"DERIVED\PRIMARY\DIFFUSION\CALC_BVALUE\TRACEW\ND\DFC",
            r"DERIVED\PRIMARY\DIFFUSION\CALC_BVALUE\TRACEW\NORM\DIS2D",
        ]
    }
}

db = Database('/path/to/dicomselect_archive.db').open()
query1 = db.where("series_description", "LIKE", mapping["hbv"]["SeriesDescription"])
query2 = db.where("image_type", "LIKE", mapping["hbv"]["ImageType"])
query = query1.union(query2)
db.close()

Show info

query.info().filter("series_description").print()

Convert

from dicomselect.database import Database
db = Database('/path/to/dicomselect_archive.db')
plan = db.plan('{patient_id}/{series_description}_{patient_age}', query)
plan.target_dir = '/path/to/target_dir'
plan.suffix = '.mha'
plan.print()
plan.execute(max_workers=4)

Release files for dicomselect 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dicomselect 0.3.0
File	Size	Uploaded
dicomselect-0.3.0.tar.gz	57.3 kB	May 23, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for dicomselect 0.3.0
File	Interpreter	ABI	Platform	Reset
dicomselect-0.3.0-py3-none-any.whl 57.9 kB May 23, 2023	Python 3	none	any	Details

Total release size: 115.2 kB

Release files / dicomselect-0.3.0.tar.gz

Download URL	dicomselect-0.3.0.tar.gz
Size	57.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`9d23e5cea49ac3962d955f1abd75ab9494ae3d679b134a2d47d9d76917cb5d18`
BLAKE2b-256 checksum How to use checksums	`f682c89e6995c0c1184bbaeb3c049277de68914fe2070c68f331acbc78c7c610`
Upload date	May 23, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.10.9`

Release files / dicomselect-0.3.0-py3-none-any.whl

Download URL	dicomselect-0.3.0-py3-none-any.whl
Size	57.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`1cae8d3650dc6cb7ece15df0e9ece22586a2e5a50ac6a4101aae7daa6ef7387f`
BLAKE2b-256 checksum How to use checksums	`fa4574dcbf0fda6b7dd7dceebb87500a5c676196bb0b9ed7475b27ae2b05d486`
Upload date	May 23, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.10.9`