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This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

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Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR" when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects.

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access. Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA). Without access, you will not be able to obtain individual-level data.

Once you have selected data of interest you can:

  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release.
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected. Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the filter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

Please Note:

  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time.
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures.
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.

Frequently Asked Questions

  • What is a Filter Cart?
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.
  • What do I do after filters are added to the Filter Cart?
    After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned. Adding multiple filters to the cart, regardless of type, will AND the result of each filter. If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in BOTH 1 AND 2.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Glossary

  • Workspace
    The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace.
  • Filter Cart
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user through querying or browsing as being of some potential interest. The Filter Cart adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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Peds - Expanded Diffusion Tensor Imaging (eDTI)

152 Shared Subjects

Expanded diffusion tensor imaging (DTI) data as defined by the NIH Pediatric MRI Project
Neurosignal Recordings
DTI
04/03/2012
peds_edti02
12/16/2022
View Change History
02
Definition
Submission Template
Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project
Query timepoint_label String 50 Required Timepoint/visit label
Query edti_age_days_dob Integer Required Age in days to date of birth from DTI scan date. This may differ from the T1 date due to an offset in scan date between structural and DTI data.
Query edti_time_days_arbitrary_date Integer Recommended Time in days calculated by subtracting an arbitrary date from the DTI scan date. Allows the user to identify ACR or Living Phantom scans from the same time in an anonymized way.
Query edti_time_days_to_t1 Integer Recommended Number of days delay time between T1 structural acquisition and DTI acquisition.
edti_release_version String 5 Required Version of the DTI data release. This release number is independent of the Structural MRI release number.
Query scanner_manufacturer_edti String 30 Recommended Siemens or GE as extracted from the MINC header
Query scanner_software_versions_edti String 30 Recommended MRI scanner software version
Query mri_echo_time_edti Float Recommended Echo time
Query mri_repetition_time_edti Float Recommended Repetition time
Query mri_excit_pulse_angle_edti Float Recommended excitation pulse angle for DTI (degrees). Expected value is 90 degress.
Query mri_band_width_edti Float Recommended Band width
Query mri_nex_edti Integer Recommended Number of excitations (NEX)
Query mri_field_of_view_raw_ap_edti Integer Recommended field of view in the anterior-posterior direction for the DWI images as acquired at the scanner before processing
Query mri_field_of_view_raw_lr_edti Integer Recommended field of view in the left-right direction for the DWI images as acquired at the scanner before processing
Query mri_voxel_width_raw_ap_edti Float Recommended Voxel resolution in Anterior-Posterior direction for raw DWI data. AP = y direction for axial acquisition.
Query mri_voxel_width_raw_lr_edti Float Recommended Voxel resolution in Left-Right direction for raw DWI data. LR = x direction for axial acquisition.
Query mri_voxel_width_raw_is_edti Float Recommended Voxel resolution in Inferior-Superior direction for raw DWI data. IS = z for axial acquisition.
Query mri_number_slices_raw_edti Integer Recommended Number of slices for raw DWI data.
Query mri_field_of_view_corr_ap_edti Integer Recommended Field of view (FOV)in anterior-posterior direction for DWI data after artifact remediation and distortion correction.
Query mri_field_of_view_corr_lr_edti Integer Recommended Field of view (FOV)in left-right direction for DWI data after artifact remediation and distortion correction.
Query mri_voxel_width_corr_ap_edti Float Recommended Voxel resolution in Anterior-Posterior direction for DWI data after artifact remediation and distortion correction.
Query mri_voxel_width_corr_lr_edti Float Recommended Voxel resolution in Left-Right direction for DWI data after artifact remediation and distortion correction.
Query mri_voxel_width_corr_is_edti Float Recommended Voxel resolution in Inferior-Superior direction for DWI data after artifact remediation and distortion correction.
mri_acquisition_matrix_edti String 30 Recommended Image acquisition matrix size.
Query mri_image_matrix_edti String 30 Recommended Final image matrix size. Compared with the acquisition matrix size, this indicates in the images were interpolated by the scanner.
Query mri_number_slices_corr_edti Integer Recommended Number of slices for final output data.
Query mri_slice_gap_edti Float Recommended Space between slices. Should be 0. (mm)
Query mri_num_b0_edti Integer Recommended Number of non-diffusion weighted images. For full edti acquisition, this should be 10 for Siemens, 9 for GE.
Query mri_num_intb_dwi_edti Integer Recommended Number of diffusion weighted images of intermediate b-value (100, 300, 500, 800). For full edti data acquisition, this should be 60.
Query mri_num_highb_dwi_edti Integer Recommended Number of diffusion weighted images of high b-value (1100). For full edti acquisition, this should be 50.
Query mri_num_b0_corr_edti Integer Recommended Number of non-diffusion weighted images after correction.
Query mri_num_intb_dwi_corr_edti Integer Recommended Number of diffusion weighted images of intermediate b-value (100, 300, 500, 800) after correction.
Query mri_num_highb_dwi_corr_edti Integer Recommended Number of diffusion weighted images of high b-value (1100) after correction.
Query mri_epi_correction_edti String 1 Recommended Is EPI correction performed? Y=yes, N=no
Query mri_epi_bspline_grid_size_edti Integer Recommended Value of the bspline grid size used for EPI correction. Total grid size is the sum of this number plus 3 additional grid points for the required border size.
Query edti_registration_target_type String 2 Recommended Imaging modality of target image used for EPI correction and/or reorientation. T1, T2 or PD
Query edti_tensor_fitting_type String 2 Recommended Tensor fitting algorithm used to create the data. If not visible artifacts, then non-linear fitting (N1), with visible artifacts, RESTORE robust fitting (R1).
Query qc_num_volumes_edti Integer Recommended Quality score for protocol violations; 0=no violation, 1=violation. Number of acquired volumes. 0; 1 0 = No violation; 1 = Violation
Query qc_num_slices_edti Integer Recommended Quality score for protocol violations; 0=no violation, 1=violation. Number of slices per DWI volume. 0; 1 0 = No violation; 1 = Violation
Query qc_in_plane_resolution_edti Integer Recommended Quality score for protocol violations; 0=no violation, 1=violation. Axial in-plane resoultion. 0; 1 0 = No violation; 1 = Violation
Query qc_slice_thickness_edti Integer Recommended Quality score for protocol violations; 0=no violation, 1=violation. Slice thickness. 0; 1 0 = No violation; 1 = Violation
Query qc_zero_fill_acq_edti Integer Recommended Quality score for protocol violations; 0=no violation, 1=violation. Protocol specified no zero filling at the time of acquisition. 0; 1 0 = No violation; 1 = Violation
Query qc_nex_edti Integer Recommended Quality score for protocol violations; 0=no violation, 1=violation. Protocol specifies NEX=1. 0; 1 0 = No violation; 1 = Violation
Query qc_oblique_acq_edti Integer Recommended Quality score for protocol violations; 0=no violation, 1=violation. Protocol specified pure axial acquisition only. 0; 1 0 = No violation; 1 = Violation
Query qc_echo_time_edti Integer Recommended Quality score for protocol violations; 0=no violation, 1=violation. Echo time must be the same for all replicates, including b1000 and b500. 0; 1 0 = No violation; 1 = Violation
Query qc_gain_scale_edti Integer Recommended Quality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Gain differences between replicates, or scaling differences between b0 and DWI images. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_brain_coverage_top_edti Integer Recommended Quality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Was the top of the brain fully included in acquisition? 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_brain_coverage_bottom_edti Integer Recommended Quality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Was the bottom of the brain (cerebellum) fully included in acquisition? 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_ghosting_edti Integer Recommended Quality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of ghosting. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_nosie_artifacts_edti Integer Recommended Quality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of noise, spike noise, RF, and recon artifacts. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_motion_signal_drop_edti Integer Recommended Quality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of signal dropouts due to motion. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_motion_eddy_dist_edti Integer Recommended Quality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of misregistration due to motion and eddy distortion. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_epi_dist_edti Integer Recommended Quality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of susceptibility related EPI distortion. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_cardiac_artifacts_edti Integer Recommended Quality score for raw DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Severity of cardiac pulsation artifacts. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_qual_motion_eddy_corr_edti Integer Recommended Quality score for corrected DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Quality of the correction of misregistration due to motion and eddy distortion. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_qual_epi_corr_edti Integer Recommended Quality score for corrected DWI data; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Quality of correction for EPI distortion. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_region_frontal_edti Integer Recommended Regional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Frontal lobes. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_region_parietal_edti Integer Recommended Regional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Parietal lobes. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_region_occipital_edti Integer Recommended Regional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Occipital lobes. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_region_temporal_edti Integer Recommended Regional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Temporal lobes. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_region_cerebellum_bs_edti Integer Recommended Regional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Cerebellum and brainstem. Likely affected by cardiac pulsation. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_region_central_brain_edti Integer Recommended Regional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Central brain regions (Ask Ami - midbrain?). 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_region_top_brain_edti Integer Recommended Regional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Top of the brain. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
Query qc_region_global_edti Integer Recommended Regional quality score for tensor derived quantities; 0=perfect, 1=minor problem, 2=moderate problem, 3=major problem. Whole brain, overall quality of tensor derived maps. 0; 1; 2; 3; 4 0 = Perfect; 1 = Minor problem; 2 = Moderate problem; 3 = Major problem
edti_fa_image_nii File Recommended Fractional Anisotropy image in nifti format. Computed from b0 and high b-value data only.
edti_ra_image_nii File Recommended Relative Anisotropy image in nifti format. Computed from b0 and high b-value data only.
edti_li_image_nii File Recommended Lattice Index image in nifti format. Computed from b0 and high b-value data only.
edti_tr_image_nii File Recommended Trace ADC image in nifti format. Computed from b0 and high b-value data only.
edti_ev_image_nii File Recommended Eigenvalue image in 4D nifti format. Volumes are in the order lambda1, lambda2, lambda3. Computed from b0 and high b-value data only.
edti_cs_image_nii File Recommended Chi-Square map in nifti format. Measure of the goodness of fit of the data. Computed from b0 and high b-value data only.
edti_dec_image_nii File Recommended Directional Encoded Color (DEC) image in nifti format. Computed from b0 and high b-value data only.
edti_mask_image_nii File Recommended Mask image used in tensor fitting
edti_outlier_image_nii File Recommended Outlier map from the RESTORE robust tensor fitting. Only exists for datasets that were processed using RESTORE.
edti_tal_noscale_t1_nii File Recommended T1W image in Tal no-scale space in nifti format
edti_tal_noscale_t2_nii File Recommended T2W image in Tal no-scale space in nifti format
edti_tal_noscale_pd_nii File Recommended PDW image in Tal no-scale space in nifti format
edti_dwi_raw_uncorr_images File Recommended All DWI images that passed initial quality assessment. Images are saved slice by slice in raw floating point format. .list, .path and .bmtxt files are provided for opening in TORTOISE. Provided in a .tar.gz file.
edti_dwi_raw_crctd_tensor_imgs File Recommended All DWI images that passed minimum quality assessment, after artifact remediation and distortion correction, plus computed noise correction for interpolation, tensor, amplitude and mask images. Compatible with TORTOISE, and raw floating point images.
edti_tensor_images File Recommended Computed tensor, amplitude and mask images. Compatible with TORTOISE. All tensor derived quantities can be computed from these files in TORTOISE.
edti_dwi_extnd_raw_uncorr_imgs File Recommended All raw DWI volumes that passed initial QC, including intermediate b-value volumes. These volumes are original, without any corrections applied.
edti_dwi_extnd_raw_crctd_imgs File Recommended All DWI volumes that passed QC, including intermediate b-value volumes, after motion, eddy distortion and EPI distortion corrections.
Data Structure

This page displays the data structure defined for the measure identified in the title and structure short name. The table below displays a list of data elements in this structure (also called variables) and the following information:

  • Element Name: This is the standard element name
  • Data Type: Which type of data this element is, e.g. String, Float, File location.
  • Size: If applicable, the character limit of this element
  • Required: This column displays whether the element is Required for valid submissions, Recommended for valid submissions, Conditional on other elements, or Optional
  • Description: A basic description
  • Value Range: Which values can appear validly in this element (case sensitive for strings)
  • Notes: Expanded description or notes on coding of values
  • Aliases: A list of currently supported Aliases (alternate element names)
  • For valid elements with shared data, on the far left is a Filter button you can use to view a summary of shared data for that element and apply a query filter to your Cart based on selected value ranges

At the top of this page you can also:

  • Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns
  • Download a copy of this definition in CSV format
  • Download a blank CSV submission template prepopulated with the correct structure header rows ready to fill with subject records and upload

Please email the The NDA Help Desk with any questions.