<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<style type="text/css" style="display:none;"><!-- P {margin-top:0;margin-bottom:0;} --></style>
</head>
<body dir="ltr">
<div id="divtagdefaultwrapper" style="font-size:12pt;color:#000000;font-family:Calibri,Helvetica,sans-serif;" dir="ltr">
<p></p>
<div>Hello,<br>
<br>
We plan to give a MRICloud tutorial March 5-7.<br>
<br>
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.<br>
<br>
The tentative schedule is:<br>
<br>
Tuesday (March 5):<br>
<br>
10am-11am: Introduction<br>
<br>
11am-12pm: T1 multi-atlas segmentation: theory<br>
<br>
12:50pm-13:50pm: Research topic I: Application of Segmentation-based analysis for AD<br>
<br>
14pm-15pm: Hands-on: T1-based segmentation procedure step-by-step.<br>
<br>
<br>
Wednesday (March 6):<br>
<br>
10am-11am: Hands-on: DTI analysis<br>
<br>
11am-12pm: Hands-on: rs-fMRI analysis<br>
<br>
13pm-14pm: Hands-on: ASL analysis<br>
<br>
14pm-15pm: Research topic II: Integrative analysis of T1, DTI, and rs-fMRI<br>
<br>
<br>
Thursday (March 7):<br>
<br>
10am-10:45am: Introduction to R<br>
<br>
10:45am-11:30am: Application of R to MRICloud results:T1-based volumetric analysis<br>
<br>
11:30am-12:15pm: Application of R to MRICloud results:Functional connectivity analysis<br>
<br>
<br>
<br>
<br>
The tutorial will be hosted in Johns Hopkins University Medical campus and Homewood campus.<br>
<br>
The location in Medial campus on March 5-6 is: Room 214, Traylor Building, 720 Rutland Avenue, Baltimore 21205. The Medical campus map is attached.<br>
<br>
The location in Homewood campus on March 7 will be announced later.<br>
<br>
<br>
<br>
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).<br>
<br>
Please follow the instructions at https://www.mristudio.org/wiki/mricloud to download the sample data and install the softwares.<br>
<br>
If you would like to attend this tutorial, please send me an email.<br>
<br>
<br>
<br>
<br>
Xin<br>
<br>
</div>
<br>
<p></p>
</div>
</body>
</html>