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Process DICOM trees and create JSON summares for the ReV viewer.

Project description

https://badge.fury.io/py/pfdicom_rev.svg https://travis-ci.org/FNNDSC/pfdicom_rev.svg?branch=master https://img.shields.io/badge/python-3.5%2B-blue.svg

Quick Overview

  • pfdicom_rev processes DICOM trees for the ReV viewer.

Overview

pfdicom_rev processes directories containing DICOM files for the ReV viewer by converting DCM files to JPG previews and generating JSON series and study summary files, as well as index.html per study.

The script accepts an <inputDir> which should be the (absolute) root dir of the ReV library. All file locations will be referenced relative to this root dir in the JSON descriptor files.

pfdicom_rev performs a mulit-pass loop over the file tree space as defined in the [--stage <stage>] flag below.

NOTE:

  • pfdicom_rev relies on ImageMagick for many of its operations, including the DCM to JPG conversion, JPG resize, and preview strip creation.

  • In some cases, default limits for ImageMagick are too low for generating preview strips, especially if a given DICOM series has many (more than 100) DICOM files. One fix for this is to edit the policy.xml file pertaining to ImageMagick and set the image width and height specifiers to 100 kilo-pixels (the default is about 16KP).

<policy domain="resource" name="width" value="100KP"/>
<policy domain="resource" name="height" value="100KP"/>

Please see here for more information.

Installation

Dependencies

The following dependencies are installed on your host system/python3 virtual env (they will also be automatically installed if pulled from pypi):

  • pfmisc (various misc modules and classes for the pf* family of objects)

  • pftree (create a dictionary representation of a filesystem hierarchy)

  • pfdicom (handle underlying DICOM file reading)

Using PyPI

The best method of installing this script and all of its dependencies is by fetching it from PyPI

pip3 install pfdicom_rev

Command line arguments

-I|--inputDir <inputDir>
Input DICOM directory to examine. By default, the first file in this
directory is examined for its tag information. There is an implicit
assumption that each <inputDir> contains a single DICOM series.

[-e|--extension <DICOMextension>]
An optional extension to filter the DICOM files of interest from the
<inputDir>.

-O|--outputDir <outputDir>
The output root directory that will contain a tree structure identical
to the input directory, and each "leaf" node will contain the analysis
results.

For ReV, this is often the special directive '%inputDir' which directs
the system to generate all outputs in the input tree directly.

[--outputLeafDir <outputLeafDirFormat>]
If specified, will apply the <outputLeafDirFormat> to the output
directories containing data. This is useful to blanket describe
final output directories with some descriptive text, such as
'anon' or 'preview'.

This is a formatting spec, so

    --outputLeafDir 'preview-%s'

where %s is the original leaf directory node, will prefix each
final directory containing output with the text 'preview-' which
can be useful in describing some features of the output set.

[-T|--tagStruct <JSONtagStructure>]
Parse the tags and their "subs" from a JSON formatted <JSONtagStucture>
passed directly in the command line. This is used in the optional
DICOM anonymization.

[-S|--server <server>]
The name of the server hosting the ReV viewer.

Defaults to 'http://fnndsc.tch.harvard.edu'.

[--stage <stage>]
Stage to execute -- mostly for debugging purposes and useful if running a
particular stage repeatedly. There are some caveats to this -- mostly that
stages are serially dependent, thus running "--stage 4" off the bat will
not work since previous stages have not completed.

The actual thread of stage flow and dependencies are:



                              /--stage 2--\
                             /             \
                    stage 1--               --stage 4
                             \             /
                              \--stage 3--/


    [1] analyize all the DCM files in the <inputDir>
        *   convert each DCM to JPG (native)
        *   resize all JPGs to 96x96 and generate preview strip
        *   tag middle JPG in series based on series length
        *   create JSON per example series-level descriptors:
                * declare location of actual series DCM files
        *   create JSON per month example-level descriptors
                * declare location of middle thumbnail JPGs

    [2] analyze all the JSON series-level descriptors from stage [1]
        *   create study-level JSON descriptors that summarize
            all series JSON data into one file

    [3] analyze all the JSON per month example-level descriptors
        from stage [1]
        *   create simple overview per-month index.html that shows
            per-example thumbnails

    [4] analyze all JSON study level descriptors from stage [2]
        *   create tree map for mapping of arbitrary patient age to
            closest hits in tree

[--studyJSON <studyJSONfile>]
The name of the study JSON file.

Defaults to 'description.json'.

[--threads <numThreads>]
If specified, break the innermost analysis loop into <numThreads>
threads.

[-x|--man]
Show full help.

[-y|--synopsis]
Show brief help.

[--json]
If specified, output a JSON dump of final return.

[--followLinks]
If specified, follow symbolic links.

[-v|--verbosity <level>]
Set the app verbosity level.

    0: No internal output;
    1: Run start / stop output notification;
    2: As with level '1' but with simpleProgress bar in 'pftree';
    3: As with level '2' but with list of input dirs/files in 'pftree';
    5: As with level '3' but with explicit file logging for
            - read
            - analyze
            - write

Examples

Process a tree containing DICOM files for ReV:

pfdicom_rev                                         \\
            -I /var/www/html/rev -e dcm             \\
            -O %inputDir                            \\
            --threads 0 --printElapsedTime          \\
            -v 3

which will run a DCM and JSON analysis, printing the final elapsed processing time.

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