Working with Data#
Here we present some useful tips & tricks which to help working with data which has been converted using PyDicer. As you will see, working with data in PyDicer is heavily oriented around DataFrames provided by the Pandas library. If you aren’t familiar with Pandas, we recommend working through the Pandas Getting Started Tutorials.
[1]:
try:
from pydicer import PyDicer
except ImportError:
!pip install pydicer
from pydicer import PyDicer
from pathlib import Path
from pydicer.utils import (
fetch_converted_test_data,
load_object_metadata,
determine_dcm_datetime,
read_simple_itk_image
)
Setup PyDicer#
Here we load the LCTSC data which has already been converted. This is downloaded into the testdata_lctsc directory. We also initialise a PyDicer object.
[2]:
working_directory = fetch_converted_test_data("./testdata_lctsc", dataset="LCTSC")
pydicer = PyDicer(working_directory)
Working directory %s aready exists, won't download test data.
Read Converted Data#
To obtain a DataFrame of the converted data, use the read_converted_data function.
[3]:
df = pydicer.read_converted_data()
df
[3]:
| sop_instance_uid | hashed_uid | modality | patient_id | series_uid | for_uid | referenced_sop_instance_uid | path | |
|---|---|---|---|---|---|---|---|---|
| 0 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.235489581364... | 914d57 | CT | LCTSC-Test-S1-102 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.639871532605... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.408067568497... | NaN | testdata_lctsc/data/LCTSC-Test-S1-102/images/9... |
| 1 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.110977663386... | 6c6ea4 | RTSTRUCT | LCTSC-Test-S1-102 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.110977663386... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.408067568497... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.235489581364... | testdata_lctsc/data/LCTSC-Test-S1-102/structur... |
| 2 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.217118546740... | dd0026 | CT | LCTSC-Train-S1-008 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.135073567254... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.243364093992... | NaN | testdata_lctsc/data/LCTSC-Train-S1-008/images/... |
| 3 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.225487254421... | 48a970 | RTSTRUCT | LCTSC-Train-S1-008 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.225487254421... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.243364093992... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.217118546740... | testdata_lctsc/data/LCTSC-Train-S1-008/structu... |
| 4 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.168227681755... | 5adf40 | CT | LCTSC-Train-S1-007 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.335375068555... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.187709044743... | NaN | testdata_lctsc/data/LCTSC-Train-S1-007/images/... |
| 5 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.284338872489... | ed6686 | RTSTRUCT | LCTSC-Train-S1-007 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.284338872489... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.187709044743... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.168227681755... | testdata_lctsc/data/LCTSC-Train-S1-007/structu... |
| 6 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.159497309342... | 2bf2f9 | CT | LCTSC-Train-S1-003 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.742383887179... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.803594135292... | NaN | testdata_lctsc/data/LCTSC-Train-S1-003/images/... |
| 7 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.127494043495... | 8e34f9 | RTSTRUCT | LCTSC-Train-S1-003 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.127494043495... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.803594135292... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.159497309342... | testdata_lctsc/data/LCTSC-Train-S1-003/structu... |
| 8 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.141349678572... | d91c84 | CT | LCTSC-Train-S1-004 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.269433294341... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.313160975008... | NaN | testdata_lctsc/data/LCTSC-Train-S1-004/images/... |
| 9 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.595315284787... | 61758b | RTSTRUCT | LCTSC-Train-S1-004 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.595315284787... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.313160975008... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.141349678572... | testdata_lctsc/data/LCTSC-Train-S1-004/structu... |
| 10 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.333558838494... | 666be6 | CT | LCTSC-Test-S1-101 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.106943890850... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.171234424242... | NaN | testdata_lctsc/data/LCTSC-Test-S1-101/images/6... |
| 11 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.929007819506... | cc682f | RTSTRUCT | LCTSC-Test-S1-101 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.280355341349... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.171234424242... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.333558838494... | testdata_lctsc/data/LCTSC-Test-S1-101/structur... |
| 12 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.318848546630... | aa38e6 | CT | LCTSC-Train-S1-002 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.234842392725... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.145984743865... | NaN | testdata_lctsc/data/LCTSC-Train-S1-002/images/... |
| 13 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.291449913947... | f036b8 | RTSTRUCT | LCTSC-Train-S1-002 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.291449913947... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.145984743865... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.318848546630... | testdata_lctsc/data/LCTSC-Train-S1-002/structu... |
| 14 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.263565217029... | 88c5ef | CT | LCTSC-Train-S1-006 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.770569242984... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.325217978839... | NaN | testdata_lctsc/data/LCTSC-Train-S1-006/images/... |
| 15 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.161109536301... | ceb111 | RTSTRUCT | LCTSC-Train-S1-006 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.161109536301... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.325217978839... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.263565217029... | testdata_lctsc/data/LCTSC-Train-S1-006/structu... |
| 16 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.140943693489... | 738c1a | CT | LCTSC-Train-S1-005 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.338518041666... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.964812114328... | NaN | testdata_lctsc/data/LCTSC-Train-S1-005/images/... |
| 17 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.214803404117... | 68d663 | RTSTRUCT | LCTSC-Train-S1-005 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.214803404117... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.964812114328... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.140943693489... | testdata_lctsc/data/LCTSC-Train-S1-005/structu... |
| 18 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.188371727865... | 6834c9 | CT | LCTSC-Train-S1-001 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.330486033168... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.109432485688... | NaN | testdata_lctsc/data/LCTSC-Train-S1-001/images/... |
| 19 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.267594131248... | b5bddb | RTSTRUCT | LCTSC-Train-S1-001 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.267594131248... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.109432485688... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.188371727865... | testdata_lctsc/data/LCTSC-Train-S1-001/structu... |
Iterating Over Objects#
If you want to perform some operation on (for example) all images in your dataset, you can iterate over each image row like this. Within each loop we load each image as a SimpleITK image (just for demonstration purposes).)
[4]:
for idx, ct_row in df[df.modality=="CT"].iterrows():
print(f"Loading image with hashed UID: {ct_row.hashed_uid}...", end="")
img = read_simple_itk_image(ct_row)
print(" Complete")
Loading image with hashed UID: 914d57... Complete
Loading image with hashed UID: dd0026... Complete
Loading image with hashed UID: 5adf40... Complete
Loading image with hashed UID: 2bf2f9... Complete
Loading image with hashed UID: d91c84... Complete
Loading image with hashed UID: 666be6... Complete
Loading image with hashed UID: aa38e6... Complete
Loading image with hashed UID: 88c5ef... Complete
Loading image with hashed UID: 738c1a... Complete
Loading image with hashed UID: 6834c9... Complete
Loading Object Metadata#
The metadata from the DICOM headers is stored by PyDicer and can be easily loaded using the load_object_metadata function. Simply pass a row from the converted DataFrame into this function to load the metadata for that object.
[5]:
first_row = df.iloc[0]
ds = load_object_metadata(first_row)
ds
[5]:
(0008, 0005) Specific Character Set CS: 'ISO_IR 100'
(0008, 0008) Image Type CS: ['ORIGINAL', 'PRIMARY', 'AXIAL', 'CT_SOM5 SPI']
(0008, 0012) Instance Creation Date DA: '20050726'
(0008, 0013) Instance Creation Time TM: '091720.609000'
(0008, 0016) SOP Class UID UI: CT Image Storage
(0008, 0018) SOP Instance UID UI: 1.3.6.1.4.1.14519.5.2.1.7014.4598.235489581364823930179693677352
(0008, 0020) Study Date DA: '20031104'
(0008, 0021) Series Date DA: '20031104'
(0008, 0023) Content Date DA: '20031104'
(0008, 0030) Study Time TM: '112017.690000'
(0008, 0031) Series Time TM: '114545.847000'
(0008, 0033) Content Time TM: '114241.493000'
(0008, 0050) Accession Number SH: '2356173256177297'
(0008, 0060) Modality CS: 'CT'
(0008, 0070) Manufacturer LO: 'SIEMENS'
(0008, 0090) Referring Physician's Name PN: ''
(0008, 1030) Study Description LO: 'RT^RCCT_THORAX_8F_High (Adult)'
(0008, 103e) Series Description LO: 'CT114545:RespCT 3.0 B30f 50% Ex'
(0008, 1090) Manufacturer's Model Name LO: 'Sensation Open'
(0010, 0010) Patient's Name PN: 'LCTSC-Test-S1-102'
(0010, 0020) Patient ID LO: 'LCTSC-Test-S1-102'
(0010, 0030) Patient's Birth Date DA: ''
(0010, 0040) Patient's Sex CS: 'F'
(0012, 0062) Patient Identity Removed CS: 'YES'
(0012, 0063) De-identification Method LO: ['Per DICOM PS 3.15 AnnexE. Details in 0012,0064', 'Per DICOM PS 3.15 AnnexE. Details in 0012,0064']
(0012, 0064) De-identification Method Code Sequence 16 item(s) ----
(0008, 0100) Code Value SH: '113100'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Basic Application Confidentiality Profile'
---------
(0008, 0100) Code Value SH: '113101'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Clean Pixel Data Option'
---------
(0008, 0100) Code Value SH: '113104'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Clean Structured Content Option'
---------
(0008, 0100) Code Value SH: '113105'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Clean Descriptors Option'
---------
(0008, 0100) Code Value SH: '113107'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Retain Longitudinal Temporal Information Modified Dates Option'
---------
(0008, 0100) Code Value SH: '113108'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Retain Patient Characteristics Option'
---------
(0008, 0100) Code Value SH: '113109'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Retain Device Identity Option'
---------
(0008, 0100) Code Value SH: '113111'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Retain Safe Private Option'
---------
(0008, 0100) Code Value SH: '113100'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Basic Application Confidentiality Profile'
---------
(0008, 0100) Code Value SH: '113101'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Clean Pixel Data Option'
---------
(0008, 0100) Code Value SH: '113104'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Clean Structured Content Option'
---------
(0008, 0100) Code Value SH: '113105'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Clean Descriptors Option'
---------
(0008, 0100) Code Value SH: '113107'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Retain Longitudinal Temporal Information Modified Dates Option'
---------
(0008, 0100) Code Value SH: '113108'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Retain Patient Characteristics Option'
---------
(0008, 0100) Code Value SH: '113109'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Retain Device Identity Option'
---------
(0008, 0100) Code Value SH: '113111'
(0008, 0102) Coding Scheme Designator SH: 'DCM'
(0008, 0104) Code Meaning LO: 'Retain Safe Private Option'
---------
(0013, 0010) Private Creator LO: 'CTP'
(0013, 1010) Private tag data LO: 'LCTSC'
(0013, 1013) Private tag data LO: '70144598'
(0018, 0015) Body Part Examined CS: 'LUNG'
(0018, 0050) Slice Thickness DS: '3.0'
(0018, 0060) KVP DS: '120.0'
(0018, 0090) Data Collection Diameter DS: '500.0'
(0018, 1100) Reconstruction Diameter DS: '500.0'
(0018, 1110) Distance Source to Detector DS: '1040.0'
(0018, 1111) Distance Source to Patient DS: '570.0'
(0018, 1120) Gantry/Detector Tilt DS: '0.0'
(0018, 1130) Table Height DS: '200.0'
(0018, 1140) Rotation Direction CS: 'CW'
(0018, 1150) Exposure Time IS: '361'
(0018, 1151) X-Ray Tube Current IS: '100'
(0018, 1152) Exposure IS: '500'
(0018, 1160) Filter Type SH: '0'
(0018, 1170) Generator Power IS: '12'
(0018, 1190) Focal Spot(s) DS: '1.2'
(0018, 1210) Convolution Kernel SH: 'B30f'
(0018, 5100) Patient Position CS: 'HFS'
(0020, 000d) Study Instance UID UI: 1.3.6.1.4.1.14519.5.2.1.7014.4598.238478060677653494401819620444
(0020, 000e) Series Instance UID UI: 1.3.6.1.4.1.14519.5.2.1.7014.4598.639871532605224417554459681163
(0020, 0010) Study ID SH: ''
(0020, 0011) Series Number IS: '0'
(0020, 0012) Acquisition Number IS: '2'
(0020, 0013) Instance Number IS: '148'
(0020, 0032) Image Position (Patient) DS: [-249.51171875, -449.51171875, -663.5]
(0020, 0037) Image Orientation (Patient) DS: [1.0, 0.0, 0.0, 0.0, 1.0, 0.0]
(0020, 0052) Frame of Reference UID UI: 1.3.6.1.4.1.14519.5.2.1.7014.4598.408067568497667143598295356169
(0020, 1040) Position Reference Indicator LO: ''
(0020, 1041) Slice Location DS: '-663.5'
(0028, 0002) Samples per Pixel US: 1
(0028, 0004) Photometric Interpretation CS: 'MONOCHROME2'
(0028, 0010) Rows US: 512
(0028, 0011) Columns US: 512
(0028, 0030) Pixel Spacing DS: [0.9765625, 0.9765625]
(0028, 0100) Bits Allocated US: 16
(0028, 0101) Bits Stored US: 12
(0028, 0102) High Bit US: 11
(0028, 0103) Pixel Representation US: 0
(0028, 0303) Longitudinal Temporal Information M CS: 'MODIFIED'
(0028, 1050) Window Center DS: '40.0'
(0028, 1051) Window Width DS: '400.0'
(0028, 1052) Rescale Intercept DS: '-1024.0'
(0028, 1053) Rescale Slope DS: '1.0'
(3253, 0010) Private Creator LO: 'Varian Medical Systems VISION 3253'
(7fe0, 0010) Pixel Data OW: None
Loading metadata for all data objects#
You can use the Pandas apply function to load metadata for all rows and add it as a column to the converted DataFrame.
[7]:
df["StudyDescription"] = df.apply(lambda row: load_object_metadata(row, keep_tags="StudyDescription").StudyDescription, axis=1)
df
[7]:
| sop_instance_uid | hashed_uid | modality | patient_id | series_uid | for_uid | referenced_sop_instance_uid | path | StudyDescription | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.235489581364... | 914d57 | CT | LCTSC-Test-S1-102 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.639871532605... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.408067568497... | NaN | testdata_lctsc/data/LCTSC-Test-S1-102/images/9... | RT^RCCT_THORAX_8F_High (Adult) |
| 1 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.110977663386... | 6c6ea4 | RTSTRUCT | LCTSC-Test-S1-102 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.110977663386... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.408067568497... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.235489581364... | testdata_lctsc/data/LCTSC-Test-S1-102/structur... | RT^RCCT_THORAX_8F_High (Adult) |
| 2 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.217118546740... | dd0026 | CT | LCTSC-Train-S1-008 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.135073567254... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.243364093992... | NaN | testdata_lctsc/data/LCTSC-Train-S1-008/images/... | Specials^RCCTPET_THORAX_8F (Adult) |
| 3 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.225487254421... | 48a970 | RTSTRUCT | LCTSC-Train-S1-008 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.225487254421... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.243364093992... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.217118546740... | testdata_lctsc/data/LCTSC-Train-S1-008/structu... | Specials^RCCTPET_THORAX_8F (Adult) |
| 4 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.168227681755... | 5adf40 | CT | LCTSC-Train-S1-007 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.335375068555... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.187709044743... | NaN | testdata_lctsc/data/LCTSC-Train-S1-007/images/... | RT^RCCT_THORAX_8F_High (Adult) |
| 5 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.284338872489... | ed6686 | RTSTRUCT | LCTSC-Train-S1-007 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.284338872489... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.187709044743... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.168227681755... | testdata_lctsc/data/LCTSC-Train-S1-007/structu... | RT^RCCT_THORAX_8F_High (Adult) |
| 6 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.159497309342... | 2bf2f9 | CT | LCTSC-Train-S1-003 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.742383887179... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.803594135292... | NaN | testdata_lctsc/data/LCTSC-Train-S1-003/images/... | RT^RCCT_THORAX_8F_High (Adult) |
| 7 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.127494043495... | 8e34f9 | RTSTRUCT | LCTSC-Train-S1-003 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.127494043495... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.803594135292... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.159497309342... | testdata_lctsc/data/LCTSC-Train-S1-003/structu... | RT^RCCT_THORAX_8F_High (Adult) |
| 8 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.141349678572... | d91c84 | CT | LCTSC-Train-S1-004 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.269433294341... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.313160975008... | NaN | testdata_lctsc/data/LCTSC-Train-S1-004/images/... | RT^RCCT_THORAX_8F_High_CONTRAST (Adult) |
| 9 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.595315284787... | 61758b | RTSTRUCT | LCTSC-Train-S1-004 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.595315284787... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.313160975008... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.141349678572... | testdata_lctsc/data/LCTSC-Train-S1-004/structu... | RT^RCCT_THORAX_8F_High_CONTRAST (Adult) |
| 10 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.333558838494... | 666be6 | CT | LCTSC-Test-S1-101 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.106943890850... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.171234424242... | NaN | testdata_lctsc/data/LCTSC-Test-S1-101/images/6... | |
| 11 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.929007819506... | cc682f | RTSTRUCT | LCTSC-Test-S1-101 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.280355341349... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.171234424242... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.333558838494... | testdata_lctsc/data/LCTSC-Test-S1-101/structur... | |
| 12 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.318848546630... | aa38e6 | CT | LCTSC-Train-S1-002 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.234842392725... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.145984743865... | NaN | testdata_lctsc/data/LCTSC-Train-S1-002/images/... | RT^RCCT_THORAX_8F (Adult) |
| 13 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.291449913947... | f036b8 | RTSTRUCT | LCTSC-Train-S1-002 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.291449913947... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.145984743865... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.318848546630... | testdata_lctsc/data/LCTSC-Train-S1-002/structu... | RT^RCCT_THORAX_8F (Adult) |
| 14 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.263565217029... | 88c5ef | CT | LCTSC-Train-S1-006 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.770569242984... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.325217978839... | NaN | testdata_lctsc/data/LCTSC-Train-S1-006/images/... | RT^RCCT_THORAX_8F_High (Adult) |
| 15 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.161109536301... | ceb111 | RTSTRUCT | LCTSC-Train-S1-006 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.161109536301... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.325217978839... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.263565217029... | testdata_lctsc/data/LCTSC-Train-S1-006/structu... | RT^RCCT_THORAX_8F_High (Adult) |
| 16 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.140943693489... | 738c1a | CT | LCTSC-Train-S1-005 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.338518041666... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.964812114328... | NaN | testdata_lctsc/data/LCTSC-Train-S1-005/images/... | RT^RCCT_THORAX_8F_High (Adult) |
| 17 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.214803404117... | 68d663 | RTSTRUCT | LCTSC-Train-S1-005 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.214803404117... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.964812114328... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.140943693489... | testdata_lctsc/data/LCTSC-Train-S1-005/structu... | RT^RCCT_THORAX_8F_High (Adult) |
| 18 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.188371727865... | 6834c9 | CT | LCTSC-Train-S1-001 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.330486033168... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.109432485688... | NaN | testdata_lctsc/data/LCTSC-Train-S1-001/images/... | RT^RCCT_THORAX_8F_Low (Adult) |
| 19 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.267594131248... | b5bddb | RTSTRUCT | LCTSC-Train-S1-001 | 1.3.6.1.4.1.14519.5.2.1.7014.4598.267594131248... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.109432485688... | 1.3.6.1.4.1.14519.5.2.1.7014.4598.188371727865... | testdata_lctsc/data/LCTSC-Train-S1-001/structu... | RT^RCCT_THORAX_8F_Low (Adult) |
Determine Date of Object#
There are several DICOM header tags which could define the date of an object. The DICOM standard doesn’t require all of these to be set within the metadata. PyDicer provides the determine_dcm_datetime function to extract the date from the DICOM header.
[8]:
ds = load_object_metadata(first_row)
obj_datetime = determine_dcm_datetime(ds)
print(obj_datetime)
2003-11-04 11:45:45.847000
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