NIFTI2DICOM(1)

NAME
nifti2dicom - Convert 3D medical images to DICOM 2D series

DESCRIPTION
Nifti2Dicom is a conversion tool that converts 3D NIfTI files (and other formats supported by ITK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS.

USAGE:

nifti2dicom
    [-# <int>] [-s

    <string>] [-p <string>] -o <string> [-r] -i <string> [--acquisitiontime <AAAAMMGG>] [--acquisitiondate <AAAAMMGG>] [--acquisitionnumber <string>] [--useoriginalseries] [--seriestime <AAAAMMGG>] [--seriesdate <AAAAMMGG>] [--seriesdescription <string>] [--seriesnumber <string>] [--seriesinstanceuid <string>] [--donotuseoriginalstudy] [--studytime <hhmmss>] [--studydate <YYYYMMDD>] [--studydescription <string>] [--studyid <string>] [--studyinstanceuid <string>] [--patientweight <WW>] [--patientage <###Y/M>] [--patientsex <M|F|O>] [--patientdob <AAAAMMGG>] [--patientid <string>] [--patientname <COGNOME NOME>] [--referringphysiciansname <string>] [--institutionname <string>] [--manufacturersmodelname <string>] [--manufacturer <string>] [--protocolname <string>] [--softwareversion <string>] [--imagetype <string>] [--modality <string>] [--sopclassuid <string>] [-d <string>] [-y] [-a <string>] [--] [--version] [-h]

Where:

-# <int>, --digits <int>

    Number of digits in dicom file names

-s <string>, --suffix <string>

    Suffix of dicom file names

-p <string>, --prefix <string>

    Prefix of dicom file names

-o <string>, --outputdirectory <string>

(required)
    Output dicom directory

-r, --rescale

    Rescale image before exporting

-i <string>, --inputfile <string>

(required)
    Input NIFTI 1 file

--acquisitiontime <AAAAMMGG>

    (0008,0032) Acquisition Time

--acquisitiondate <AAAAMMGG>

    (0008,0022) Acquisition Date

--acquisitionnumber <string>

    (0020,0012) Acquisition Number

--useoriginalseries

    Use original series

--seriestime <AAAAMMGG>

    (0008,0031) Series Time

--seriesdate <AAAAMMGG>

    (0008,0021) Series Date

--seriesdescription <string>

    (0008,103e) Series Description

--seriesnumber <string>

    (0020,0011) Series Number

--seriesinstanceuid <string>

    (0020,000e) Series Instance UID

--donotuseoriginalstudy

    Do not use original study

--studytime <hhmmss>

    (0008,0030) Study Time

--studydate <YYYYMMDD>

    (0008,0020) Study Date

--studydescription <string>

    (0008,1030) Study Description

--studyid <string>

    (0020,0010) Study ID

--studyinstanceuid <string>

    (0020,000d) Study Instance UID

--patientweight <WW>

    (0010,1030) Patient Weight

--patientage <###Y/M>

    (0010,1010) Patient Age

--patientsex <M|F|O>

    (0010,0040) Patient Sex

--patientdob <AAAAMMGG>

    (0010,0030) Patient Date of Birth

--patientid <string>

    (0010,0020) Patient ID

--patientname <COGNOME NOME>

    (0010,0010) Patient Name

--referringphysiciansname <string>

    (0008,0090) Referring Physician's Name

--institutionname <string>

    (0008,0080) Institution Name

--manufacturersmodelname <string>

    (0008,1090) Manufacturer's Model Name

--manufacturer <string>

    (0008,0070) Manufacturer

--protocolname <string>

    (0018,1030) Protocol Name

--softwareversion <string>

    (0018,1020) Software Version(s)

--imagetype <string>

    (0008,0008) Image Type

--modality <string>

    (0008,0060) Modality

--sopclassuid <string>

    (0008,0016) SOP Class UID

-d <string>, --dicomheaderfile <string>

    File containing DICOM header to import

-y, --yes

    Do not prompt for Accession Number Warning

-a <string>, --accessionnumber <string>

    (0008,0050) Accession Number

--, --ignore_rest

    Ignores the rest of the labeled arguments following this flag.

--version

    Displays version information and exits.

-h, --help

    Displays usage information and exits.

    Converts NIfTI1 images to DICOM

AUTHORS
Nifti2Dicom was primarily written by Daniele E. Domenichelli and Gabriele Arnulfo.

SEE ALSO
Full documentation for the Nifti2Dicom package is stored at https://github.com/biolab-unige/nifti2dicom