This road-map serves as a guide for developers as well as a way for us to communicate to users and other stake-holders about the expectations they should have for the current functionality of the software and future developments.
If you would like to be part of the team developing this road-map, please be sure to read our Contributors Guidelines. Then, you can contact the developers through the Mattermost channel to be invited to our bi-weekly meetings.
This road-map proposes a :abbr:`RERO (release early, release often)` philosophy, scheduling a monthly release until the first stable 1.0 release is reached.
Important
Updated: Dec 18, 2020 Latest release: 0.3.0 (October 13, 2020).
Version 0.4 will condense all the outcomes of our sprint towards ISMRM's 2021 abstracts deadline. This mostly includes house-keeping work, and most prominently, the integration of the SDCFlows 2.0 alpha releases, which makes dMRIPrep go ahead of fMRIPrep in addressing distortions caused by B_0 inhomogeneity.
This release will also include Salim's efforts in #144
to provide a temporary implementation of head-motion and eddy-currents correction using
FSL's eddy.
This temporary solution will be replaced by our 3dSHORE-based algorithm ported from QSIPREP,
and left in place for researchers who prefer this option.
Continue with the SDCFlows 2.0 integration:
- Cover more complex fieldmap specifications
- Automatically set up "fieldmap-less" estimations
Framewise-displacement (or equivalent) calculation
We will identify volumes that are outliers in terms of head-motion, or other severe artifacts that make them likely candidates for exclusion from further analysis. Regarding the or equivalent note above: following with this conversation, it could be interesting to calculate some sort of average displacement of voxels within the white-matter mask instead.
Finalize ongoing PRs about reporting number of shells
First draft of ISBI 2021 tutorial:
- Accept the design for our ISBI 2021 tutorial and document it on the notebooks repo.
- First draft
- Start development
- Plan for supporting Derek and Ariel in taking the head-motion correction to the finish line.
Head motion correction.
A SHOREline-based approach, ported from QSIPREP. In cases where the data are "shelled", 3dSHORE will be used as the diffusion model. If the data are single-shell, we will use SFM as the diffusion model.
B_1 inhomogeneity correction
- Decide whether it can be brought around from estimation on T1w images
- Decide whether it should be a default-off option that can be enabled with a flag, or else, generate both conversions always.
Initiate Phase I of testing
- Compose our test-bed dataset
- Document Phase I testing and reporting protocols
- Start execution
# Continue with the development of ISBI 2021 tutorial
The noisy month. This is not a musical event, but a development cycle where we will focus on the implementation of steps addressing noise in DWI:
Identification of outlier measurements (+ imputation?)
Implementation of component-based noise identification techniques
- Comparison of multiple approaches including MP-PCA, NLMeans, and Patch2Self (#132)
Gibbs-ringing: investigate whether it should be estimated if other techniques are in place (i.e., component-based above), and ordering of steps.
Rician bias modeling.
DWI carpet-plot and confounds collation.
Testing Phase I execution
Final release of the ISBI 2021 tutorial
This release will only address bugfixes conducive to finishing evaluation Phase I, which should conform a pretty solid ensemble ready for premiere in ISMRM 2021.
- First official presentation at ISMRM 2021 (should the abstract be accepted)
- Evaluation Phase II starts.
- Determine an appropriate dataset
- Plan for benchmarking experiments (#121)
- Start with addressing issues as they are reported
Wrap-up evaluation Phase II with the first stable release of dMRIPrep.
In the long run we would like to explore the following processing steps:
- Gradient non-linearity correction