Upgrade to Pro — share decks privately, control downloads, hide ads and more …

ROSIE: Automated Image Processing Infrastructure

Scott Burns
June 06, 2012
Science
0
140

ROSIE: Automated Image Processing Infrastructure

I presented ROSIE at the 2012 VUIIS Retreat.

Scott Burns

June 06, 2012
Tweet

More Decks by Scott Burns

See All by Scott Burns
Learning From the Pros: Modern Data Management for Clinicians and Scientists
sburns
1
35
Confident Asset Deployments with Webpack & Django
sburns
0
1.2k
An Introduction to Channels
sburns
0
230
Empathy-as-a-Service
sburns
0
91
Improving Research With Advanced REDCap Interfaces
sburns
1
610

Other Decks in Science

See All in Science
機械学習による確率推定とカリブレーション/probabilistic-calibration-on-classification-model
ktgrstsh
2
280
Celebrate UTIG: Staff and Student Awards 2024
utig
0
500
Visual Analytics for R&D Intelligence @Funding the Commons & DeSci Tokyo 2024
hayataka88
0
110
Online Feedback Optimization
floriandoerfler
0
530
FOGBoston2024
lcolladotor
0
120
解説！データ基盤の進化を後押しする手順とタイミング
shomaekawa
1
360
ACL読み会2024@名大 REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation
takuma_matsubara
0
100
Direct Preference Optimization
zchenry
0
300
How were Quaternion discovered
kinakomoti321
2
1.1k
最適化超入門
tkm2261
14
3.3k
LIMEを用いた判断根拠の可視化
kentaitakura
0
370
240510 COGNAC LabChat
kazh
0
160

Featured

See All Featured
Faster Mobile Websites
deanohume
305
30k
The Cost Of JavaScript in 2023
addyosmani
45
7k
Documentation Writing (for coders)
carmenintech
66
4.5k
4 Signs Your Business is Dying
shpigford
181
21k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.3k
Scaling GitHub
holman
458
140k
Done Done
chrislema
181
16k
Intergalactic Javascript Robots from Outer Space
tanoku
270
27k
Being A Developer After 40
akosma
87
590k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
26
1.5k
Why You Should Never Use an ORM
jnunemaker
PRO
54
9.1k
The World Runs on Bad Software
bkeepers
PRO
65
11k

Transcript

  1. ROSIE An Automated Image Processing Infrastructure Scott Burns Education and

    Brain Science Research Lab [email protected] Intro Why What Input Import Processing Web End

  2. Common Problems Raw Data > RA RA RA Acquisition Analysis

    Intro Why What Input Import Processing Web End

  3. Intro Why What Input Import Processing Web End

  4. REDCap Intro Why What Input Import Processing Web End

  5. Session Number Normal Session? Run # : Image Type Intro

    Why What Input Import Processing Web End

  6. Import Intro Why What Input Import Processing Web End

  7. Organizing Images •/home/CHI/getstudy .... •rsync ... ... Intro Why What

    Input Import Processing Web End

  8. ACCRE Processing Intro Why What Input Import Processing Web End

  9. fMRI: SPM • Automatically creates preprocessing, artifact detection and first-level

    scripts to produce first-level contrast and T-maps. Intro Why What Input Import Processing Web End Head motion Artifact Detection T Statistic MIP

  10. Structural T1: Freesurfer • Relatively simple (recon-all -s ...) •

    Take screenshots for manual QA Intro Why What Input Import Processing Web End w,g/m segmentation auto parcellation

  11. Web Architecture Intro Why What Input Import Processing Web End

  12. Web App: Projects Intro Why What Input Import Processing Web

    End

  13. Web App: Subjects Intro Why What Input Import Processing Web

    End

  14. Web App: Logs Intro Why What Input Import Processing Web

    End

  15. Web App: Job Results Intro Why What Input Import Processing

    Web End

  16. Upcoming Features • Mining processed results for REDCap import •

    Full-featured web app • NiPype for batch generation/execution • VUIIS XNAT as raw image source and results storage Intro Why What Input Import Processing Web End

  17. Thank you • Drs. Laurie Cutting, Nikki Davis and Sheryl

    Rimrodt • R01HD044073 and R01HD067254 • REDCap (1 UL1 RR024975) Intro Why What Input Import Processing Web End

  18. Questions Intro Why What Input Import Processing Web End