[MRICloud_users] MRICloud tutorial January 28-30

[Xin Li]

Hello,

We plan to give a MRICloud tutorial January 28-30.

MRICloud is our new cloud platform designed for automated image analysis. It has unique features focusing on anatomical segmentation and integration of multiple MRI results. The tutorial is a three-day session including image analysis for T1-based morphology, DTI analysis, rs-fMRI analysis, ASL analysis and application of R to MRICloud results.

The tentative schedule is;

Monday (January 28):                       Location: Traylor 330

10am-11am: Introduction

11am-12pm: T1 multi-atlas segmentation: theory

12:50pm-13:50pm: Research topic I: Application of Segmentation-based analysis for AD

14pm-15pm: Hands-on: T1-based segmentation procedure step-by-step.


Tuesday (January 29):                    Location: Traylor 214

10am-11am: Hands-on: DTI analysis

11am-12pm: Hands-on: rs-fMRI analysis

12:30pm-13:30pm: Hands-on: ASL analysis

13:30pm-14:30pm: Research topic II: Integrative analysis of T1, DTI, and rs-fMRI


Wednesday (January 30):             Location: Traylor 330

10am-10:45am: Introduction to R

10:45am-11:30am: Application of R to MRICloud results:T1-based volumetric analysis

11:30am-12:15pm: Application of R to MRICloud results:Functional connectivity analysis



The tutorial will be hosted in Johns Hopkins University School of Medicine.

The location is: Room 330 (January 28, 30),   Room 214 (January 29) , Traylor Building
                         720 Rutland Avenue, Baltimore 21205
The attachment is the campus map.

As usual, the tutorial is free, but you are expected to bring your own laptop and cover all the travel expense by yourself. Please make sure to register yourself at www.mricloud.org. We will provide sample data but you are welcome to bring your own data in DICOM format (not from PACS but from scanners).

Please follow the instructions at https://www.mristudio.org/wiki/mricloud to download the sample data and install the softwares.

If you would like to attend this tutorial, please send me an email.


Xin

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