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Add entities objects+rules from bids v1.6.0-480-ge47283a2
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ATM we will need only these two files to establish consistent
order of the entities in the filenames.  Later we might want to
carry a more complete copy of the schema, or may be eventually some
proper  bidsschema  python package would appear to provide desired
functionality anyways
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yarikoptic committed Feb 7, 2022
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356 changes: 356 additions & 0 deletions heudiconv/bids/data/schema/objects/entities.yaml
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---
# This file describes entities present in BIDS filenames.
# WARNING: The entities are presented here in alphabetical order!
# The appropriate order of entities in filenames is defined in `rules/entities.yaml`,
# rather than this file (`objects/entities.yaml`).
acquisition:
name: Acquisition
entity: acq
description: |
The `acq-<label>` key/value pair corresponds to a custom label the
user MAY use to distinguish a different set of parameters used for
acquiring the same modality.
For example this should be used when a study includes two T1w images - one
full brain low resolution and one restricted field of view but high
resolution.
In such case two files could have the following names:
`sub-01_acq-highres_T1w.nii.gz` and `sub-01_acq-lowres_T1w.nii.gz`, however
the user is free to choose any other label than `highres` and `lowres` as long
as they are consistent across subjects and sessions.
In case different sequences are used to record the same modality
(for example, `RARE` and `FLASH` for T1w)
this field can also be used to make that distinction.
At what level of detail to make the distinction (for example,
just between `RARE` and `FLASH`, or between `RARE`, `FLASH`, and `FLASHsubsampled`)
remains at the discretion of the researcher.
type: string
format: label
ceagent:
name: Contrast Enhancing Agent
entity: ce
description: |
The `ce-<label>` key/value can be used to distinguish
sequences using different contrast enhanced images.
The label is the name of the contrast agent.
The key `"ContrastBolusIngredient"` MAY also be added in the JSON file,
with the same label.
type: string
format: label
chunk:
name: Chunk
entity: chunk
description: |
The `chunk-<index>` key/value pair is used to distinguish between different
regions, 2D images or 3D volumes files, of the same physical sample with
different fields of view acquired in the same imaging experiment.
type: string
format: index
density:
name: Density
entity: den
description: |
Density of non-parametric surfaces.
MUST have a corresponding `Density` metadata field to provide
interpretation.
This entity is only applicable to derivative data.
type: string
format: label
description:
name: Description
entity: desc
description: |
When necessary to distinguish two files that do not otherwise have a
distinguishing entity, the `_desc-<label>` keyword-value SHOULD be used.
This entity is only applicable to derivative data.
type: string
format: label
direction:
name: Phase-Encoding Direction
entity: dir
description: |
The `dir-<label>` key/value can be set to an arbitrary alphanumeric label
(for example, `dir-LR` or `dir-AP`) to distinguish different phase-encoding
directions.
type: string
format: label
echo:
name: Echo
entity: echo
description: |
If files belonging to an entity-linked file collection are acquired at different
echo times, the `_echo-<index>` key/value pair MUST be used to distinguish
individual files.
This entity represents the `"EchoTime"` metadata field. Please note that the `<index>`
denotes the number/index (in the form of a nonnegative integer), not the
`"EchoTime"` value which needs to be stored in the field `"EchoTime"` of the separate
JSON file.
type: string
format: index
flip:
name: Flip Angle
entity: flip
description: |
If files belonging to an entity-linked file collection are acquired at different
flip angles, the `_flip-<index>` key/value pair MUST be used to distinguish
individual files.
This entity represents the `"FlipAngle"` metadata field. Please note that the `<index>`
denotes the number/index (in the form of a nonnegative integer), not the `"FlipAngle"`
value which needs to be stored in the field `"FlipAngle"` of the separate JSON file.
type: string
format: index
hemisphere:
name: Hemisphere
entity: hemi
description: |
The `hemi-<label>` entity indicates which hemibrain is described by the file.
Allowed label values for this entity are `L` and `R`, for the left and right
hemibrains, respectively.
type: string
format: label
enum:
- "L"
- "R"
inversion:
name: Inversion Time
entity: inv
description: |
If files belonging to an entity-linked file collection are acquired at different
inversion times, the `_inv-<index>` key/value pair MUST be used to distinguish
individual files.
This entity represents the `"InversionTime` metadata field. Please note that the `<index>`
denotes the number/index (in the form of a nonnegative integer), not the `"InversionTime"`
value which needs to be stored in the field `"InversionTime"` of the separate JSON file.
type: string
format: index
label:
name: Label
entity: label
description: |
Tissue-type label, following a prescribed vocabulary.
Applies to binary masks and probabilistic/partial volume segmentations
that describe a single tissue type.
This entity is only applicable to derivative data.
type: string
format: label
modality:
name: Corresponding Modality
entity: mod
description: |
The `mod-<label>` key/value pair corresponds to modality label for defacing
masks, for example, T1w, inplaneT1, referenced by a defacemask image.
For example, `sub-01_mod-T1w_defacemask.nii.gz`.
type: string
format: label
mtransfer:
name: Magnetization Transfer
entity: mt
description: |
If files belonging to an entity-linked file collection are acquired at different
magnetization transfer (MT) states, the `_mt-<label>` key/value pair MUST be used to
distinguish individual files.
This entity represents the `"MTState"` metadata field. Allowed label values for this
entity are `on` and `off`, for images acquired in presence and absence of an MT pulse,
respectively.
type: string
enum:
- "on"
- "off"
part:
name: Part
entity: part
description: |
This entity is used to indicate which component of the complex
representation of the MRI signal is represented in voxel data.
The `part-<label>` key/value pair is associated with the DICOM Tag
`0008, 9208`.
Allowed label values for this entity are `phase`, `mag`, `real` and `imag`,
which are typically used in `part-mag`/`part-phase` or
`part-real`/`part-imag` pairs of files.
Phase images MAY be in radians or in arbitrary units.
The sidecar JSON file MUST include the units of the `phase` image.
The possible options are `"rad"` or `"arbitrary"`.
When there is only a magnitude image of a given type, the `part` key MAY be
omitted.
type: string
enum:
- mag
- phase
- real
- imag
processing:
name: Processed (on device)
entity: proc
description: |
The proc label is analogous to rec for MR and denotes a variant of
a file that was a result of particular processing performed on the device.
This is useful for files produced in particular by Elekta's MaxFilter
(for example, `sss`, `tsss`, `trans`, `quat` or `mc`),
which some installations impose to be run on raw data because of active
shielding software corrections before the MEG data can actually be
exploited.
type: string
format: label
reconstruction:
name: Reconstruction
entity: rec
description: |
The `rec-<label>` key/value can be used to distinguish
different reconstruction algorithms (for example `MoCo` for the ones using motion
correction).
type: string
format: label
recording:
name: Recording
entity: recording
description: |
More than one continuous recording file can be included (with different
sampling frequencies).
In such case use different labels.
For example: `_recording-contrast`, `_recording-saturation`.
type: string
format: label
resolution:
name: Resolution
entity: res
description: |
Resolution of regularly sampled N-dimensional data.
MUST have a corresponding `"Resolution"` metadata field to provide
interpretation.
This entity is only applicable to derivative data.
type: string
format: label
run:
name: Run
entity: run
description: |
If several scans with the same acquisition parameters are acquired in the same session,
they MUST be indexed with the [`run-<index>`](../99-appendices/09-entities.md#run) entity:
`_run-1`, `_run-2`, `_run-3`, and so on (only nonnegative integers are allowed as
run labels).
If different entities apply,
such as a different session indicated by [`ses-<label>`](../99-appendices/09-entities.md#ses),
or different acquisition parameters indicated by
[`acq-<label>`](../99-appendices/09-entities.md#acq),
then `run` is not needed to distinguish the scans and MAY be omitted.
type: string
format: index
sample:
name: Sample
entity: sample
description: |
A sample pertaining to a subject such as tissue, primary cell
or cell-free sample.
The `sample-<label>` key/value pair is used to distinguish between different
samples from the same subject.
The label MUST be unique per subject and is RECOMMENDED to be unique
throughout the dataset.
type: string
format: label
session:
name: Session
entity: ses
description: |
A logical grouping of neuroimaging and behavioral data consistent across
subjects.
Session can (but doesn't have to) be synonymous to a visit in a
longitudinal study.
In general, subjects will stay in the scanner during one session.
However, for example, if a subject has to leave the scanner room and then
be re-positioned on the scanner bed, the set of MRI acquisitions will still
be considered as a session and match sessions acquired in other subjects.
Similarly, in situations where different data types are obtained over
several visits (for example fMRI on one day followed by DWI the day after)
those can be grouped in one session.
Defining multiple sessions is appropriate when several identical or similar
data acquisitions are planned and performed on all -or most- subjects,
often in the case of some intervention between sessions
(for example, training).
type: string
format: label
space:
name: Space
entity: space
description: |
The space entity can be used to indicate
the way in which electrode positions are interpreted
(for EEG/MEG/iEEG data) or
the spatial reference to which a file has been aligned (for MRI data).
The space `<label>` MUST be taken from one of the modality specific lists in
[Appendix VIII](../99-appendices/08-coordinate-systems.md).
For example for iEEG data, the restricted keywords listed under
[iEEG Specific Coordinate Systems](../99-appendices/08-coordinate-systems.md#ieeg-specific-coordinate-systems)
are acceptable for `<label>`.
For EEG/MEG/iEEG data, this entity can be applied to raw data, but
for other data types, it is restricted to derivative data.
type: string
format: label
split:
name: Split
entity: split
description: |
In the case of long data recordings that exceed a file size of 2Gb, the
.fif files are conventionally split into multiple parts.
Each of these files has an internal pointer to the next file.
This is important when renaming these split recordings to the BIDS
convention.
Instead of a simple renaming, files should be read in and saved under their
new names with dedicated tools like [MNE-Python](https://mne.tools/),
which will ensure that not only the file names, but also the internal file
pointers will be updated.
It is RECOMMENDED that .fif files with multiple parts use the
`split-<index>` entity to indicate each part.
If there are multiple parts of a recording and the optional `scans.tsv` is provided,
remember to list all files separately in `scans.tsv` and that the entries for the
`acq_time` column in `scans.tsv` MUST all be identical, as described in
[Scans file](../03-modality-agnostic-files.md#scans-file).
type: string
format: index
stain:
name: Stain
entity: stain
description: |
The `stain-<label>` key/pair values can be used to distinguish image files
from the same sample using different stains or antibodies for contrast enhancement.
Stains SHOULD be indicated in the `"SampleStaining"` key in the sidecar JSON file,
although the label may be different.
Description of antibodies SHOULD also be indicated in `"SamplePrimaryAntibodies"`
and/or `"SampleSecondaryAntobodies"` as appropriate.
type: string
format: label
subject:
name: Subject
entity: sub
description: |
A person or animal participating in the study.
type: string
format: label
task:
name: Task
entity: task
description: |
Each task has a unique label that MUST only consist of letters and/or
numbers (other characters, including spaces and underscores, are not
allowed).
Those labels MUST be consistent across subjects and sessions.
type: string
format: label
tracer:
name: Tracer
entity: trc
description: |
The `trc-<label>` key/value can be used to distinguish
sequences using different tracers.
The key `"TracerName"` MUST also be included in the associated JSON file,
although the label may be different.
type: string
format: label
30 changes: 30 additions & 0 deletions heudiconv/bids/data/schema/rules/entities.yaml
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---
# This file simply defines the order in which entities should appear within filenames.
# Entity definitions appear in the `objects/entities.yaml` file.
- subject
- session
- sample
- task
- acquisition
- ceagent
- tracer
- stain
- reconstruction
- direction
- run
- modality
- echo
- flip
- inversion
- mtransfer
- part
- processing
- hemisphere
- space
- split
- recording
- chunk
- resolution
- density
- label
- description
3 changes: 3 additions & 0 deletions setup.py
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Expand Up @@ -59,6 +59,9 @@ def findsome(subdir, extensions):
op.join('data', '*.dcm'),
op.join('data', '*', '*.dcm')
],
'heudiconv.bids.data.schema': [
'*/*.yaml'
],
}
)

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