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BEP: ZTE-based fMRI extension #2312

@dvm-shlee

Description

@dvm-shlee

Your idea

[BEP Proposal] ZTE-based fMRI extension

Proposal summary

We propose a new BIDS Extension Proposal (BEP) to support Zero Echo Time (ZTE)-based
functional MRI (fMRI)
acquisitions.

This extension focuses on explicitly recording how ZTE-based fMRI data were acquired
and how they were reconstructed
, without prescribing reconstruction algorithms or
requiring access to raw k-space data. The goal is to improve data provenance,
interpretability, and cross-study comparability
, while remaining fully backwards
compatible with existing BIDS datasets and tools.


Defined scope

In scope

  • Functional (time-series) ZTE-based MRI acquisitions
  • ZTE-derived fMRI sequence families (e.g., ZTE, SORDINO, MB-SWIFT)
  • Metadata describing:
    • How the data were acquired (acquisition strategy, trajectory, key parameters)
    • Which reconstruction approach and software were used
  • Minimal, human- and machine-readable reconstruction descriptors
  • An extensible framework that can accommodate additional ZTE-based fMRI variants
    not yet explicitly listed

Out of scope

  • Definition or standardization of reconstruction algorithms
  • Raw k-space reconstruction requirements
  • Vendor- or site-specific reconstruction pipelines
  • Derivatives specification

Proposed data organization

  • Data type: func
  • Proposed suffix: zte (tentative)
  • Example filename:
    • sub-01_task-rest_run-01_zte.nii.gz
    • sub-01_task-rest_run-01_zte.json

The suffix is intentionally distinct from bold to avoid implying T2*-weighted
contrast. The final suffix selection should be aligned with community feedback.

Metadata fields

Standard BIDS fields (reused)

  • RepetitionTime (s)
  • EchoTime (s)
  • FlipAngle (deg)
  • MRAcquisitionType ("3D")
  • Manufacturer
  • SequenceName

Proposed ZTE extension fields

The following fields are proposed as ZTE-specific metadata to record
radial and non-radial sampling characteristics and to document the
reconstruction approaches applied to ZTE-based fMRI data, supporting
interpretability and cross-study comparability:

  • ZTETechnique: sequence family (e.g., ZTE, SORDINO, MB-SWIFT)
  • ZTETrajectoryType: trajectory type (e.g., radial, spiral, cones, cartesian)
  • ZTEReadoutPoints: number of readout samples per spoke
  • ZTEProjections: number of projections/spokes per frame
  • ZTEOverSampling: oversampling factor
  • ZTEEffectiveBandwidth: effective bandwidth (Hz)
  • ZTEAcqDelayTotal: acquisition delay (us)
  • ZTEUnderSampling: under-sampling factor
  • ZTEReceiverChannels: number of receivers
  • ReconMatrix: reconstruction matrix
  • FieldOfView: FOV in mm
  • SpatialResolution: nominal resolution in mm
  • SliceOrientation: slice orientation labels
  • ReadoutOrientation: readout orientation labels
  • ReconstructionMethod: method or filter used for reconstruction
  • ReconstructionType: "vendor", "custom", or "unknown"
  • ReconstructionSoftware: software name
  • ReconstructionSoftwareVersion: software version
  • ReconstructionDescription: brief free-text description of the approach

These fields are intended to be machine-readable and aligned with existing
parameter names to minimize ambiguity.


Use cases

  • Sharing and archiving ZTE-based fMRI datasets in a BIDS-compliant manner
  • Transparently documenting acquisition and reconstruction provenance for
    ZTE-based fMRI studies
  • Enabling correct interpretation and comparison of ZTE-based fMRI data across
    sites, vendors, and studies
  • Supporting tool developers and data users who need to understand how ZTE-based
    fMRI data were generated, without requiring reconstruction reproducibility

Example

The example below illustrates how a ZTE-based fMRI dataset can document both
how the data were acquired and how they were reconstructed, without
prescribing or standardizing reconstruction algorithms.

This example is provided for illustration only. The listed fields are not
intended to be exhaustive or mandatory.

{
  "RepetitionTime": 0.05,
  "EchoTime": 0.0,
  "FlipAngle": 2.0,
  "MRAcquisitionType": "3D",
  "Manufacturer": "Bruker",
  "SequenceName": "sordino",

  "ZTETechnique": "SORDINO",
  "ZTETrajectoryType": "radial",
  "ZTEReadoutPoints": 256,
  "ZTEProjections": 12000,
  "ZTEOverSampling": 2.0,
  "ZTEEffectiveBandwidth": 100000.0,

  "ReconstructionMethod": "RecoRegridNFilter",
  "ReconstructionType": "vendor",
  "ReconstructionSoftware": "ParaVision",
  "ReconstructionSoftwareVersion": "360.3.5",
  "ReconstructionDescription": "Vendor-provided Filters for non-Cartesian reconstruction"
}

In this example:

  • Acquisition-related fields describe how k-space data were sampled and how the
    ZTE-based fMRI time-series was acquired.
  • Reconstruction-related fields record which reconstruction approach and
    software were used to generate the final images.

These fields record what was done, but do not define or prescribe how
reconstruction should be performed.


Community input and open participation

While this proposal includes example acquisition and reconstruction metadata for
selected ZTE-based fMRI sequences (e.g., ZTE and SORDINO), a complete and
community-agreed parameter set is not yet defined for all ZTE-based fMRI
implementations
.

In particular, sequence families such as MB-SWIFT, as well as other ZTE-derived
or related fMRI implementations not explicitly listed here, may require additional
or sequence-specific metadata.

Input and contributions from the broader ZTE-based fMRI community are explicitly
welcomed
to help identify missing parameters, refine existing fields, and ensure
that the extension remains inclusive and extensible.


Current status

A draft specification document is under active development. This issue is intended
to gauge community interest, collect early feedback, and identify potential
contributors before proceeding to a formal BEP submission.

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