# How to determine the temporal resolution using DICOM Header Information in perfusion MRI ?

**URL:** <https://discourse.slicer.org/t/how-to-determine-the-temporal-resolution-using-dicom-header-information-in-perfusion-mri/6613>\
**Category:** Support\
**Created:** [April 26, 2019, 2:27am UTC](https://discourse.slicer.org/t/how-to-determine-the-temporal-resolution-using-dicom-header-information-in-perfusion-mri/6613 "2019-04-26T02:27:00Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![inesben](https://avatars.discourse-cdn.com/v4/letter/i/6bbea6/32.png) [@inesben](https://discourse.slicer.org/u/inesben)\
**Post date:** [April 26, 2019, 2:27am UTC](https://discourse.slicer.org/t/how-to-determine-the-temporal-resolution-using-dicom-header-information-in-perfusion-mri/6613/1 "2019-04-26T02:27:00Z")

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Operating system:  
Slicer version:  
Expected behavior:  
Actual behavior:

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**Author:** ![lassoan](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/lassoan/32/13_2.png) [@lassoan](https://discourse.slicer.org/u/lassoan)\
**Post date:** [April 26, 2019, 12:56pm UTC](https://discourse.slicer.org/t/how-to-determine-the-temporal-resolution-using-dicom-header-information-in-perfusion-mri/6613/2 "2019-04-26T12:56:00Z")

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There is no general solution. Scanner manufacturers (especially of pre-clinical devices) misinterpret/misuse the DICOM standard in various ways, so you need to figure out a way that works for your particular system.

We [worked a bit on this at a project week last year](https://na-mic.github.io/ProjectWeek/PW28_2018_GranCanaria/Projects/PreclinicalDataImport/) but we did not create a module that could solve this.

Probably your best bet is to give more information about your scanner, preferable also a sample data set, and hopefully one of the experts can give you more specific advice.

@speled

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<div class="post-metadata">

**Author:** ![inesben](https://avatars.discourse-cdn.com/v4/letter/i/6bbea6/32.png) [@inesben](https://discourse.slicer.org/u/inesben)\
**Post date:** [April 26, 2019, 2:29pm UTC](https://discourse.slicer.org/t/how-to-determine-the-temporal-resolution-using-dicom-header-information-in-perfusion-mri/6613/3 "2019-04-26T14:29:27Z")

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> [@lassoan](#):
>
> There is no general solution. Scanner manufacturers (especially of pre-clinical devices) misinterpret/misuse the DICOM standard in various ways, so you need to figure out a way that works for your particular system.
> 
> We [worked a bit on this at a project week last year](https://na-mic.github.io/ProjectWeek/PW28_2018_GranCanaria/Projects/PreclinicalDataImport/) but we did not create a module that could solve this.
> 
> Probably your best bet is to give more information about your scanner, preferable also a sample data set, and hopefully one of the experts can give you more specific advice.

Thank you very much for your response.  
please find attached the DICOM header information.  
FileModDate: ‘22-nov.-2017 19:23:24’  
FileSize: 113934  
Format: ‘DICOM’  
FormatVersion: 3  
Width: 128  
Height: 128  
BitDepth: 12  
ColorType: ‘grayscale’  
FileMetaInformationGroupLength: 208  
FileMetaInformationVersion: [2×1 uint8]  
MediaStorageSOPClassUID: ‘1.2.840.10008.5.1.4.1.1.4’  
MediaStorageSOPInstanceUID: ‘1.3.12.2.1107.5.2.36.40551.2016121411251097746349710’  
TransferSyntaxUID: ‘1.2.840.10008.1.2.1’  
ImplementationClassUID: ‘1.2.276.0.7230010.3.0.3.5.4’  
ImplementationVersionName: ‘OFFIS\_DCMTK\_354’  
SourceApplicationEntityTitle: ‘DCF’  
SpecificCharacterSet: ‘ISO\_IR 100’  
ImageType: ‘ORIGINAL\PRIMARY\PERFUSION\NONE\ND’  
InstanceCreationDate: ‘20161214’  
InstanceCreationTime: ‘112534.031000’  
SOPClassUID: ‘1.2.840.10008.5.1.4.1.1.4’  
SOPInstanceUID: ‘1.3.12.2.1107.5.2.36.40551.2016121411251097746349710’  
StudyDate: ‘20161214’  
SeriesDate: ‘20161214’  
AcquisitionDate: ‘20161214’  
ContentDate: ‘20161214’  
StudyTime: ‘105858.875000’  
SeriesTime: ‘112534.031000’  
AcquisitionTime: ‘112510.545000’  
ContentTime: ‘112534.031000’  
AccessionNumber: ‘’  
Modality: ‘MR’  
Manufacturer: ‘SIEMENS’  
ReferringPhysicianName: [1×1 struct]  
StationName: ‘MRC’  
StudyDescription: ‘I-N-Neuro^CEREBRALE’  
SeriesDescription: ‘ep2d\_perf+++’  
InstitutionalDepartmentName: ‘Department’  
PerformingPhysicianName: [1×1 struct]  
ManufacturerModelName: ‘Verio’  
ReferencedImageSequence: [1×1 struct]  
DerivationDescription: ‘LossLess compression with JPEG 2K, compression ratio 2.7103’  
DerivationCodeSequence: [1×1 struct]  
PatientID: ‘5859’  
ContrastBolusAgent: ‘+ INJECTION’  
ScanningSequence: ‘EP’  
SequenceVariant: ‘SK’  
ScanOptions: ‘PFP\FS’  
MRAcquisitionType: ‘2D’  
SequenceName: ‘_epfid2d1\_128’  
AngioFlag: ‘N’  
SliceThickness: 4  
RepetitionTime: 2.8919e+03  
EchoTime: 45  
NumberOfAverages: 1  
ImagingFrequency: 123.2449  
ImagedNucleus: ‘1H’  
EchoNumber: 1  
MagneticFieldStrength: 3  
SpacingBetweenSlices: 5.2000  
NumberOfPhaseEncodingSteps: 112  
EchoTrainLength: 1  
PercentSampling: 100  
PercentPhaseFieldOfView: 100  
PixelBandwidth: 1502  
DeviceSerialNumber: ‘40551’  
SoftwareVersion: ‘syngo MR B17’  
ProtocolName: ‘ep2d\_perf+++’  
ContrastBolusVolume: 0  
ContrastBolusTotalDose: 0  
ContrastBolusIngredient: ‘’  
ContrastBolusIngredientConcentration: 0  
TransmitCoilName: ‘Body’  
AcquisitionMatrix: [4×1 uint16]  
InPlanePhaseEncodingDirection: ‘COL’  
FlipAngle: 90  
VariableFlipAngleFlag: ‘N’  
SAR: 0.0367  
dBdt: 0  
PatientPosition: ‘HFS’  
Private\_0019\_10xx\_Creator: ‘SIEMENS MR HEADER’  
Private\_0019\_1008: ‘IMAGE NUM 4’  
Private\_0019\_1009: ‘1.0’  
Private\_0019\_100b: 82.5000  
Private\_0019\_100f: 'Fast_’  
Private\_0019\_1011: ‘No’  
Private\_0019\_1012: [3×1 int32]  
Private\_0019\_1013: [3×1 int32]  
Private\_0019\_1014: [3×1 double]  
Private\_0019\_1015: [3×1 double]  
Private\_0019\_1016: 0  
Private\_0019\_1017: 1  
Private\_0019\_1018: 2600  
Private\_0019\_1028: 10.4170  
StudyInstanceUID: ‘1.3.12.2.1107.5.2.36.40551.30000016121406161846800000022’  
SeriesInstanceUID: ‘1.3.12.2.1107.5.2.36.40551.2016121411250039285449704.0.0.0’  
StudyID: ‘1’  
SeriesNumber: 18  
AcquisitionNumber: 1  
InstanceNumber: 1  
ImagePositionPatient: [3×1 double]  
ImageOrientationPatient: [6×1 double]  
FrameOfReferenceUID: ‘1.3.12.2.1107.5.2.36.40551.1.20161214110419734.0.0.0’  
PositionReferenceIndicator: ‘’  
SliceLocation: -56.9148  
SamplesPerPixel: 1  
PhotometricInterpretation: ‘MONOCHROME2’  
Rows: 128  
Columns: 128  
PixelSpacing: [2×1 double]  
BitsAllocated: 16  
BitsStored: 12  
HighBit: 11  
PixelRepresentation: 0  
SmallestImagePixelValue: 0  
LargestImagePixelValue: 1612  
WindowCenter: 317  
WindowWidth: 706  
RescaleIntercept: 0  
RescaleSlope: 1  
RescaleType: ‘US’  
WindowCenterWidthExplanation: ‘Algo1’  
Private\_0029\_10xx\_Creator: ‘SIEMENS CSA HEADER’  
Private\_0029\_11xx\_Creator: ‘SIEMENS MEDCOM HEADER2’  
Private\_0029\_1008: ‘IMAGE NUM 4’  
Private\_0029\_1009: ‘20161214’  
Private\_0029\_1010: [9472×1 uint8]  
Private\_0029\_1018: ‘MR’  
Private\_0029\_1019: ‘20161214’  
Private\_0029\_1020: [68276×1 uint8]  
Private\_0029\_1160: ‘com’  
RequestedProcedureDescription: ‘I-N-Neuro CEREBRALE’  
StudyComments: ‘AVC i OLEA’  
PerformedProcedureStepStartDate: ‘20161214’  
PerformedProcedureStepStartTime: ‘105858.906000’  
PerformedProcedureStepID: ‘MR20161214105858’  
PerformedProcedureStepDescription: ‘I-N-Neuro^CEREBRALE’  
Private\_0051\_10xx\_Creator: ‘SIEMENS MR HEADER’  
Private\_0051\_1008: ‘IMAGE NUM 4’  
Private\_0051\_1009: ‘1.0’  
Private\_0051\_100a: ‘TA 00.08’  
Private\_0051\_100b: ‘128p_128’  
Private\_0051\_100c: 'FoV 230_230’  
Private\_0051\_100d: ‘SP F56.9’  
Private\_0051\_100e: ‘Tra\>Sag(-6.0)\>Cor(-4.9)’  
Private\_0051\_100f: ‘C:HEA;HEP;NE1,2’  
Private\_0051\_1012: ‘TP 0’  
Private\_0051\_1013: ‘+LPH’  
Private\_0051\_1015: ‘R’  
Private\_0051\_1016: ‘PERFUSION/NONE/ND’  
Private\_0051\_1017: ‘SL 4.0’  
Private\_0051\_1019: ‘A1/PFP/FS’

Best regards.