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

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

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

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

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

nifti2dicom 0.4.5                                   July 2012                                     NIFTI2DICOM(1)