gillesdemey / Go Dicom
Licence: mit
🏥 DICOM Medical Image Parser in Go
Stars: ✭ 96
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go
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DICOM parser in Go 
This project is no longer maintained, please check out its successor suyashkumar/dicom.
Usage
package main
import (
"fmt"
"github.com/gillesdemey/go-dicom"
"io/ioutil"
)
func main() {
bytes, err := ioutil.ReadFile("myfile.dcm")
parser, err := dicom.NewParser()
data, err := parser.Parse(bytes)
for _, elem := range data.Elements {
fmt.Printf("%+v\n", &elem)
}
}
Commandline Interface
dicom -file=myfile.dcm
Will print something like:
Group Element Name VR VL Value
0002 0000 FileMetaInformationGroupLength UL 4 204
0002 0001 FileMetaInformationVersion OB 2 [0 1]
0002 0002 MediaStorageSOPClassUID UI 26 [1.2.840.10008.5.1.4.1.1.2]
0002 0003 MediaStorageSOPInstanceUID UI 56 [1.3.12.2.1107.5.1.4.54023.30000005032916373504600004748]
0002 0010 TransferSyntaxUID UI 22 [1.2.840.10008.1.2.4.91]
0002 0012 ImplementationClassUID UI 22 [1.3.6.1.4.1.19291.2.1]
0002 0013 ImplementationVersionName SH 10 [OSIRIX001]
0002 0016 SourceApplicationEntityTitle AE 6 [OsiriX]
0008 0008 ImageType CS 34 [ORIGINAL PRIMARY AXIAL CT_SOM5 SPI]
0008 0016 SOPClassUID UI 26 [1.2.840.10008.5.1.4.1.1.2]
0008 0018 SOPInstanceUID UI 56 [1.3.12.2.1107.5.1.4.54023.30000005032916373504600004748]
0008 0020 StudyDate DA 8 [20050329]
0008 0021 SeriesDate DA 8 [20050329]
0008 0022 AcquisitionDate DA 8 [20050329]
0008 0023 ContentDate DA 8 [20050329]
0008 0030 StudyTime TM 14 [142530.125000 ]
0008 0031 SeriesTime TM 14 [144801.203000 ]
0008 0032 AcquisitionTime TM 14 [143840.611848 ]
0008 0033 ContentTime TM 14 [143840.611848 ]
0008 0050 AccessionNumber SH 8 [2386679]
0008 0060 Modality CS 2 [CT]
0008 0070 Manufacturer LO 8 [SIEMENS]
0008 0080 InstitutionName LO 20 [UCLA Medical Center]
0008 0081 InstitutionAddress ST 52 [UCLA Medical PlazaLos Angeles/2782F4/Los AngelesUSA]
0008 0090 ReferringPhysicianName PN 16 [MIYAMOTO^MICHAEL]
0008 1010 StationName SH 8 [CT54023]
0008 1030 StudyDescription LO 48 [Cardiac^1CTA_CORONARY_ARTERIES_TESTBOLUS (Adult)]
Acknowledgements
I'd like to thank my friend Seppe Stas for helping me get through the horrific DICOM image specification and some of the harder parts of the parser.
Some more inspiration and helpful resource that brought this library to life (in no particular order):
DWV by ivmartel https://github.com/ivmartel/dwv/
dicomParser by Chris Hafey https://github.com/chafey/dicomParser
http://www.dicomlibrary.com
http://dicom.nema.org/medical/dicom/current/output/pdf/part05.pdf
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