Differences between revisions 4 and 71 (spanning 67 versions)
Revision 4 as of 2008-12-08 22:07:54
Size: 2070
Comment:
Revision 71 as of 2009-07-29 16:32:27
Size: 7826
Comment: updated course topics and payment deadline
Deletions are marked like this. Additions are marked like this.
Line 1: Line 1:
== FreeSurfer Tutorial and Workshop == #acl AdminGroup:read,write,delete,revert All:read
Line 3: Line 3:
[[http://surfer.nmr.mgh.harvard.edu/cgi-bin/fsurfer/register.cgi|Registration is now OPEN for the upcoming course!]] = FreeSurfer Tutorial and Workshop =
== September 17 & 18, 2009 ==
==== Martinos Center for Biomedical Imaging ====
==== 149 Thirteenth Street, Charlestown, MA 02129 ====
Line 5: Line 8:
Registration Deadline is January 2, 2009 ## [[http://surfer.nmr.mgh.harvard.edu/cgi-bin/fsurfer/register.cgi|Click here to register!]]
Line 7: Line 10:
=== Courses === '''The September course is full awaiting response from those wait-listed from the last course!''' You are still encouraged [[http://surfer.nmr.mgh.harvard.edu/cgi-bin/fsurfer/register.cgi|to register]], which will place you on the waiting-list. You will be notified in advance of the next course. Tentatively, the next course will be offered in January 2010.
----
The !FreeSurfer Development Team is hosting a two-day course for beginner and experienced users of !FreeSurfer. Day 1 will be an introduction to !FreeSurfer (or a refresher for those more experienced). Day 2 will cover everything you need to know for analyzing your data. Topics are listed below. The two days will roughly run from '''8:30am-6pm'''. Registration deadline is '''August 25, 2009'''. There are only 34 available spots for this course.
Line 9: Line 14:
January 20 & 21, 2009
149 Thirteenth Street, Charlestown, MA
Laptops will be provided to the first 15 pairs of registrants, which will have !FreeSurfer and data already installed. Attendees will work in pairs (sharing a laptop). For the additional 2 pairs of registrants, one person in each pair must bring their own laptop, and you must install !FreeSurfer and tutorial data on it and test it ahead of time.
Line 12: Line 16:
=== Description === The course will be held at the [[http://maps.google.com/maps?q="149 Thirteenth Street, Charlestown, MA 02129"|Martinos Center for Biomedical Imaging in Boston]].
Line 14: Line 18:
The !FreeSurfer Development Team is hosting a two-day course for beginner and experienced users of !FreeSurfer. Day 1 will be an introduction to !FreeSurfer (or a refresher for those more experienced). Day 2 will cover everything you need to know for analyzing your data. Topics are listed below. Registration Deadline is January 2, 2009. There are only 24 available spots for this course. '''Note:''' fMRI analysis is '''not''' a component that is taught in this course. Refer to the [[http://www.nmr.mgh.harvard.edu/martinos/training/index.php|Martinos Center Training and Events page]] for courses covering fMRI.
Line 16: Line 20:
Laptops will be provided which will have !FreeSurfer and data already installed. You may bring your own laptop and/or your own data, however it is advised you install !FreeSurfer on it and test it ahead of time. There will be time at the end of Day 1 to learn how to install !FreeSurfer but please keep in mind that there might not be enough time to resolve any specific technical issues that may arise. ==== Cost ====
The fee for the course is $300 for students, $400 for all others. We need to receive your payment to secure your spot. Payment must be arranged by '''August 27, 2009''' otherwise you will lose your spot. Send payment details to Stacey Ladieu (sladieu at nmr dot mgh dot harvard dot edu). In the case there are less than 10 registrants for the course, the course will be canceled and the registration fee will be refunded to the registrant. Check is the only form of accepted payment except for internal employees. If you are from within the Partners network, you can pay via fund transfer.
Line 18: Line 23:
=== Schedule === ==== Schedule ====
Line 20: Line 25:
Day 1: Introduction to FreeSurfer ===== Day 1: Introduction to FreeSurfer =====
Line 22: Line 27:
 * Unix Tutorial (optional)
 * Introduction to FreeSurfer
 * FreeSurfer Applications
 * Reliability/Validation of FreeSurfer
 * Analyzing the Individual Subject
 * Interaction with Individual Subject Data
 * Group Analysis/GLM
 * QDEC
 * Multiple Comparisons
 * Group Analysis Interactive Tutorial
 * FreeSurfer Installation on Personal Laptops (optional)
 * Unix Tutorial (optional - starts at 8am)
 * Introduction to !FreeSurfer Jargon
 * Introduction to !FreeSurfer
 * Accuracy, Reliability, and Validation of Data using !FreeSurfer
 * Analyzing the Individual Subject in !FreeSurfer
 * Interaction with Individual Subject Data - Tutorial
 * !FreeSurfer Applications - Examples of studies done using !FreeSurfer
 * Surface-based Smoothing/Surface-based Registration
 * Group Analysis/GLM/Multiple Comparisons (mri_glmfit)- Talk and Tutorial
 * QDEC (group analysis software) - Talk and Tutorial
 * Longitudinal Analysis in !FreeSurfer
 * !FreeSurfer Installation on Personal Laptops (optional)
Line 35: Line 41:
Day 2: Advanced FreeSurfer: Working with Various Data Types ===== Day 2: Advanced FreeSurfer: Working with Various Data Types =====
Line 37: Line 43:
 * Registration for Multi-Modal Integration
 * Working with fMRI and Diffusion Data
 * Working with Different Format Types
 * Segmentation/ROI Analysis
 * Working with FreeSurfer Stats
 * Surface-Based Multi-Modal Analysis
 * Bug Reporting
 * Region of Interest (ROI) Analysis - Talk and Tutorial
 * Failure Modes and Troubleshooting with !FreeSurfer - Talk and Tutorial
 * Multi-Modal Integration: ROI and Surface-based Analysis - Talk and Tutorial
 * Future Directions of !FreeSurfer
  * Inferring architectonic boundaries from in-vivo MRI - Bruce Fischl
  * Combined Volume and Surface Registration - Lilla Zollei
  * TRActs Constrained on !UnderLying Anatomy (TRACULA) - Anastasia Yendiki
Line 45: Line 51:
 * Future Directions of FreeSurfer
  * Combined Volume and Surface Registration
  * Tractography of Underlying Anatomy (TRACULA)

==== Lecturers and Staff ====

 * Bruce Fischl
 * Doug Greve
 * Sita Kakunoori
 * David Salat
 * Nick Schmansky
 * Allison Stevens
 * Krish Subramaniam
 * Koen Van Leemput
 * Martin Reuter
 * Andre van der Kouwe
 * Anastasia Yendiki
 * Lilla Zollei

==== Accommodations ====
We encourage attendees to stay at either of these two locations:

 * [[http://www.constitutioninn.org|The Constitution Inn]] is located adjacent to our research building in Charlestown. Rooms at the Inn are simple and relatively inexpensive. The proximity of this accommodation was found to be a major benefit for other NMR Center course attendees. The facility was recently renovated and guests can use the health club and pool. The Inn has free wireless internet access. To reserve a room at the Constitution Inn, call (617) 241-8400, or visit them on the web at [[http://www.constitutioninn.org|www.constitutioninn.org]].
## A block of rooms are reserved at $99/night. To request this block, ask for the 'Freesurfer' block.
 * [[http://www.marriott.com/hotels/travel/bostw-residence-inn-boston-harbor-on-tudor-wharf/|Marriott Residence Inn at Tudor Wharf]], a short walk through the Navy Yard to the classroom. The MGH/Partners shuttle bus also has a stop just steps from the hotel, at Gate 1, and it runs every 15 minutes during the day, and every half an hour in the evening. The hotel is a new all-suite hotel that offers complimentary high-speed and wireless internet access and a complimentary breakfast buffet daily.

To get to Downtown Boston from Charlestown you can take the shuttle (it runs every hour on weekends), [[http://mbta.com/schedules_and_maps/boats/lines/default.asp?route=F4|the water shuttle]], or [[http://mbta.com/schedules_and_maps/bus/routes/?route=93|the #93 bus]].

==== Directions ====
The !FreeSurfer Course is being held at the [[http://maps.google.com/maps?q="149 Thirteenth Street, Charlestown, MA 02129"|Martinos Center for Biomedical Imaging in Boston]]:

 *Building 149, Conference Room A
 *149 Thirteenth Street
 *Charlestown Navy Yard (CNY)
 *Charlestown, MA 02129-2020

===== Public Transportation =====
If you are coming by T, there is a free Partners shuttle bus that picks you up at North Station (across from TD Banknorth Garden). The schedule is [[http://www.partners.org/ourhosp/shuttleschedule/mgh_cny.html|here]].

Exit North Station to Causeway Street exit and when you are out in the open ( Causeway St.) walk a few steps to your right. The shuttle stops near the fire hydrant you see in [[http://maps.google.com/maps?f=q&source=s_q&hl=en&geocode=&q=causeway+st+boston+ma&sll=37.0625,-95.677068&sspn=52.902929,116.367188&ie=UTF8&ll=42.365857,-71.060603&spn=0.001522,0.003551&z=19&layer=c&cbll=42.365905,-71.060513&panoid=d4b0VLApxrNkAB2ekgrjDw&cbp=12,151.56884408848438,,0,0.7648919922997248| this street view]]. From North Station, you want to look at the side that says Arrive/Depart MGH Main Campus. It comes every 15 minutes and it takes about 5 minutes for it to get to North Station from the Main Campus. You want to get off at Building 149 (the last stop and usually the third stop where everyone exits).

Let security know you are there for the !FreeSurfer Course
in Conference room A and they will direct you to the location. You will
not need an ID or guest pass since you are staying on the first floor.

===== Directions from Parking Garage =====
From the garage, you would walk towards the elevator (away from the ramps
you came up on in the car) and take it to the 1st floor. From there, go
out the double doors and across the street to enter the building there
(Building 149). Let security know you are there for the !FreeSurfer Course
in Conference room A and they will direct you to the location. You will
not need an ID or guest pass since you are staying on the first floor.


==== Map ====
Conference Room A is closest to the 9th Street Entrance.

{{attachment:mgh_map.jpg}}

FreeSurfer Tutorial and Workshop

September 17 & 18, 2009

Martinos Center for Biomedical Imaging

149 Thirteenth Street, Charlestown, MA 02129

The September course is full awaiting response from those wait-listed from the last course! You are still encouraged to register, which will place you on the waiting-list. You will be notified in advance of the next course. Tentatively, the next course will be offered in January 2010.


The FreeSurfer Development Team is hosting a two-day course for beginner and experienced users of FreeSurfer. Day 1 will be an introduction to FreeSurfer (or a refresher for those more experienced). Day 2 will cover everything you need to know for analyzing your data. Topics are listed below. The two days will roughly run from 8:30am-6pm. Registration deadline is August 25, 2009. There are only 34 available spots for this course.

Laptops will be provided to the first 15 pairs of registrants, which will have FreeSurfer and data already installed. Attendees will work in pairs (sharing a laptop). For the additional 2 pairs of registrants, one person in each pair must bring their own laptop, and you must install FreeSurfer and tutorial data on it and test it ahead of time.

The course will be held at the Martinos Center for Biomedical Imaging in Boston.

Note: fMRI analysis is not a component that is taught in this course. Refer to the Martinos Center Training and Events page for courses covering fMRI.

Cost

The fee for the course is $300 for students, $400 for all others. We need to receive your payment to secure your spot. Payment must be arranged by August 27, 2009 otherwise you will lose your spot. Send payment details to Stacey Ladieu (sladieu at nmr dot mgh dot harvard dot edu). In the case there are less than 10 registrants for the course, the course will be canceled and the registration fee will be refunded to the registrant. Check is the only form of accepted payment except for internal employees. If you are from within the Partners network, you can pay via fund transfer.

Schedule

Day 1: Introduction to FreeSurfer
  • Unix Tutorial (optional - starts at 8am)
  • Introduction to FreeSurfer Jargon

  • Introduction to FreeSurfer

  • Accuracy, Reliability, and Validation of Data using FreeSurfer

  • Analyzing the Individual Subject in FreeSurfer

  • Interaction with Individual Subject Data - Tutorial
  • FreeSurfer Applications - Examples of studies done using FreeSurfer

  • Surface-based Smoothing/Surface-based Registration
  • Group Analysis/GLM/Multiple Comparisons (mri_glmfit)- Talk and Tutorial
  • QDEC (group analysis software) - Talk and Tutorial
  • Longitudinal Analysis in FreeSurfer

  • FreeSurfer Installation on Personal Laptops (optional)

  • Start Processing Your Own Data (optional)

Day 2: Advanced FreeSurfer: Working with Various Data Types
  • Region of Interest (ROI) Analysis - Talk and Tutorial
  • Failure Modes and Troubleshooting with FreeSurfer - Talk and Tutorial

  • Multi-Modal Integration: ROI and Surface-based Analysis - Talk and Tutorial
  • Future Directions of FreeSurfer

    • Inferring architectonic boundaries from in-vivo MRI - Bruce Fischl
    • Combined Volume and Surface Registration - Lilla Zollei
    • TRActs Constrained on UnderLying Anatomy (TRACULA) - Anastasia Yendiki

  • Question and Answer Session

Lecturers and Staff

  • Bruce Fischl
  • Doug Greve
  • Sita Kakunoori
  • David Salat
  • Nick Schmansky
  • Allison Stevens
  • Krish Subramaniam
  • Koen Van Leemput
  • Martin Reuter
  • Andre van der Kouwe
  • Anastasia Yendiki
  • Lilla Zollei

Accommodations

We encourage attendees to stay at either of these two locations:

  • The Constitution Inn is located adjacent to our research building in Charlestown. Rooms at the Inn are simple and relatively inexpensive. The proximity of this accommodation was found to be a major benefit for other NMR Center course attendees. The facility was recently renovated and guests can use the health club and pool. The Inn has free wireless internet access. To reserve a room at the Constitution Inn, call (617) 241-8400, or visit them on the web at www.constitutioninn.org.

  • Marriott Residence Inn at Tudor Wharf, a short walk through the Navy Yard to the classroom. The MGH/Partners shuttle bus also has a stop just steps from the hotel, at Gate 1, and it runs every 15 minutes during the day, and every half an hour in the evening. The hotel is a new all-suite hotel that offers complimentary high-speed and wireless internet access and a complimentary breakfast buffet daily.

To get to Downtown Boston from Charlestown you can take the shuttle (it runs every hour on weekends), the water shuttle, or the #93 bus.

Directions

The FreeSurfer Course is being held at the Martinos Center for Biomedical Imaging in Boston:

  • Building 149, Conference Room A
  • 149 Thirteenth Street
  • Charlestown Navy Yard (CNY)
  • Charlestown, MA 02129-2020

Public Transportation

If you are coming by T, there is a free Partners shuttle bus that picks you up at North Station (across from TD Banknorth Garden). The schedule is here.

Exit North Station to Causeway Street exit and when you are out in the open ( Causeway St.) walk a few steps to your right. The shuttle stops near the fire hydrant you see in this street view. From North Station, you want to look at the side that says Arrive/Depart MGH Main Campus. It comes every 15 minutes and it takes about 5 minutes for it to get to North Station from the Main Campus. You want to get off at Building 149 (the last stop and usually the third stop where everyone exits).

Let security know you are there for the FreeSurfer Course in Conference room A and they will direct you to the location. You will not need an ID or guest pass since you are staying on the first floor.

Directions from Parking Garage

From the garage, you would walk towards the elevator (away from the ramps you came up on in the car) and take it to the 1st floor. From there, go out the double doors and across the street to enter the building there (Building 149). Let security know you are there for the FreeSurfer Course in Conference room A and they will direct you to the location. You will not need an ID or guest pass since you are staying on the first floor.

Map

Conference Room A is closest to the 9th Street Entrance.

CourseDescription (last edited 2024-07-23 10:19:47 by LiamrSennott)