Comments (3)
Abstract:
Connectomes shows the connection of various parts of the brain and plays an important role in medical diagnosis. However, the current dataset of connectomes is very small and there is no uniform standard. So it is important to build a dataset of connectomes that can be used for research.
Our work consists of the following sections: First, collecting the MRI nifity data from the Internet. Second, preprocessing the data and then generating the connectomes by running the pipeline neurodata/m2g in AWS. Third, analyzing the connectomes to build a dataset of connectomes with test people information and demonstrating how to use connectomes in some potential applications. Last, comparing this dataset with other common connectomes datasets.
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Sprint 1 Goals:
Prepare MRI dataset(example); run dataset locally via m2g; create docker image in AWS and run all of the data to produce connectomes dataset. Anlysis the connectomes dataset.
Sprint 2 Goals:
Finish the data descriptors paper works.
Our team paper plan.link
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Hi @JialinKang
As i mentioned in class, I still don't know what datasets you will be running, and what analysis of the connectome datasets means. Also need to specify what the output from "run all of the data" is - is it just graphs? Or are there any other figures you will make?
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Related Issues (20)
- missing QA of skull-strip (intermediate output within Registration Step) HOT 1
- Get QA intermediate registration work again HOT 1
- QA on Tensor Estimation HOT 1
- pure python for fast HOT 2
- @wilttang is ready
- Remove ActStoppingCriteron
- Issue with CSD Model
- Write a data descriptor paper, correct neuroparc atlas labels, create analysis code for analyzing m2g results. Datasets used: https://docs.google.com/spreadsheets/d/1Vr4uL6LZ2qtYdMztYYvf7dRJCvf14NG9x7rERJGPGaI/edit?usp=drive_web&ouid=109524036410778138686 HOT 5
- Writing a paper HOT 3
- Write a paper HOT 8
- writing a paper about our connectomes dataset HOT 5
- Write a paper of data description HOT 4
- Make m2g_bids and dwi_pipeline arguments agree with each other?
- Flesh-out parcellation finding
- Harvard Oxford Label Correspondence HOT 1
- Enhancements
- Possible steps to add to DTI pipeline HOT 2
- Migrate travis test to new domain HOT 1
- TODO for version v1.0.0
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