Comments (2)
sinhaharsh
commented on August 17, 2024
so the Instance Creation Date is the same for all slices, but the Instance Creation TIME is not. Instance Number and Acquisition Number are also changing for each slice. But the SeriesInstanceUID (used as run by us) and SeriesNumber (used as session by us) are not changing.
Slack
from mrqa.
sinhaharsh
commented on August 17, 2024
using the StudyInstanceUID, I could link them : Slack
s1 = 'SpinEchoFieldMap_AP_2mm' # 'gre_FieldMap' # 'T1_MPRAGE_Iso' #
s2 = 'reward_1' # 'resting-state'
for subj, sess, r1, r2, seq1, seq2 in ds.traverse_vertical(s1, s2):
print(f'\n{subj} {sess:3} \n\t{seq1} \n\t{seq2}')
50252 1.3.12.2.1107.5.2.43.67078.30000023012711450981600000019
SpinEchoFieldMap_AP_2mm(SSEQ=EP,PED=COL,TE=66,TR=8000,FA=90)
reward_1(SSEQ=EP,PED=COL,TE=15.6,TR=1500,FA=70)
50250 1.3.12.2.1107.5.2.43.67078.30000023011912331639500000007
SpinEchoFieldMap_AP_2mm(SSEQ=EP,PED=COL,TE=66,TR=8000,FA=90)
reward_1(SSEQ=EP,PED=COL,TE=15.6,TR=1500,FA=70)run IDs are differing across sequences even within the same session, so run ID seems to depend primarily on sequence
the reward tasks seem to be compatible, although we need to do this again once all parameters implemented in the new design:
s1 = 'reward_1'
s2 = 'reward_2'
for subj, sess, r1, r2, seq1, seq2 in ds.traverse_vertical(s1, s2):
print(f'\n{subj} {sess:3} \n\t{str(seq1):>120} \n\t{str(seq2):>120}')
50252 1.3.12.2.1107.5.2.43.67078.30000023012711450981600000019
reward_1(SSEQ=EP,PED=COL,TE=15.6,TR=1500,FA=70)
reward_2(SSEQ=EP,PED=COL,TE=15.6,TR=1500,FA=70)
50250 1.3.12.2.1107.5.2.43.67078.30000023011912331639500000007
reward_1(SSEQ=EP,PED=COL,TE=15.6,TR=1500,FA=70)
reward_2(SSEQ=EP,PED=COL,TE=15.6,TR=1500,FA=70)and StudyInstanceUID seems to work for ABCD too, although we must do more validation:
yes! with StudyInstanceUID, we can link DTI with its fmap from ABCD
Slack
s1 = 'ABCD-DTI,_GE,_original_(baseline_year_1_arm_1)'
s2 = 'ABCD-Diffusion-FM,_GE,_original_(baseline_year_1_arm_1)'
for subj, sess, r1, r2, seq1, seq2 in ds.traverse_vertical(s1, s2):
print(f'\n{subj} {sess:3} \n\t{str(seq1):>120} \n\t{str(seq2):>120}')
NDAR_INVVAMKAM75 1.2.840.113619.6.374.183606420954103393796096925130541883293
ABCD-DTI,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=77,PED=COL,SSEQ=['EP', 'RM'],TR=4100)
ABCD-Diffusion-FM,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=77,PED=COL,SSEQ=['EP', 'RM'],TR=4100)
NDAR_INVVAZC3MD9 1.2.840.113619.6.408.119057285563868266546910783175051310075
ABCD-DTI,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=90,PED=COL,SSEQ=['EP', 'RM'],TR=4100)
ABCD-Diffusion-FM,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=90,PED=COL,SSEQ=['EP', 'RM'],TR=4100)
NDAR_INVVA1P3NB5 1.2.840.113619.6.408.133805233752109833102337760578461246740
ABCD-DTI,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=90,PED=COL,SSEQ=['EP', 'RM'],TR=4100)
ABCD-Diffusion-FM,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=90,PED=COL,SSEQ=['EP', 'RM'],TR=4100)
NDAR_INVVAXL08MG 1.2.840.113619.6.408.283613708615011674699111544512294612957
ABCD-DTI,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=90,PED=COL,SSEQ=['EP', 'RM'],TR=4100)
ABCD-Diffusion-FM,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=90,PED=COL,SSEQ=['EP', 'RM'],TR=4100)
NDAR_INVVAWB3BNR 1.2.840.113619.6.374.227696162207618313397642256906289692209
ABCD-DTI,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=77,PED=COL,SSEQ=['EP', 'RM'],TR=4100)
ABCD-Diffusion-FM,_GE,_original_(baseline_year_1_arm_1)(TE=81.9,FA=77,PED=COL,SSEQ=['EP', 'RM'],TR=4100)from mrqa.
Related Issues (20)
- ENH : Filepaths to each non-compliant subject and session
- Use 'acq' and 'task' as a suffix for modality name HOT 3
- incremental mode of operation HOT 5
- ENH: Report should include more information about non-compliant values HOT 2
- A special vertical audit: ensure multiple runs of the same sequences are compliant
- Add to documentation for mrqa_monitor : What if subjects are deleted?
- Produce compliant subset
- Exclude MoCo Series from compliance evaluations HOT 5
- Real-time mrQA
- Provide a timeline
- Differentiating between sessions with and without C02
- Different number of sequences for Subjects across Sessions on different dates
- Checking field maps in each session
- Differentiating between Raw/unprocessed scans and processed/derived scans HOT 5
- Monitoring Log : delta updates since last compliance check
- include coil info parameter HOT 3
- Do all sessions/subjects have all the sequences?
- No DICOMs found HOT 4
- No DICOMs found (Bruker 7T Preclinical) HOT 5
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