Difference between revisions of "CTSC:TTIC.062910"

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(Created page with 'Back to Collaboration:Harvard_CTSC <br> '''Agenda''' 1. Consultations: <br> * still need a consultant with FSL routines expertise (David Salat no…')
 
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* Results from evaluation survey
 
* Results from evaluation survey
 
* Schedule practice talks before RSNA for the lifecycle of an imaging biomarker talk
 
* Schedule practice talks before RSNA for the lifecycle of an imaging biomarker talk
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===Comments: Neuroimaging MGH===
 +
* More about functional brain MRI techniques (including tractography and spectroscopy) with more practical examples.
 +
*  I would have re-organized the order of the talks in the course.  It seems odd to have the talk on actual image acquisition to be 2nd.  2.  In addition, the level with which that particular class was taught seemed disparate with the other courses. 3.  Although it was interesting to see what other investigators were doing and what was possible it may be better to have a quick survey of all the different possibilities of working with imaging and the services offered with examples for some.  The applicability of the talk was somewhat questioned.
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* I would appreciate more courses that cover imaging algorithms and tools.
 +
* The course was too much focused on specific applications/research projects. It should explain more the general principles and methods.
 +
* should have more clinical appplication in stroke patient.
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* while the course was taught at a good level, there were numerous delays due to problems with the presentation and /or the electronics.
 +
* Loved the course.  MS-talk was a bit too specific for MS database, with little imaging content. First talk was fantastic. Collaborations were encouraged - however, when following up on this per email, no response.. was a bit disappointing..
 +
* More about the special types of statistical and data analysis (the nitty gritty)-- though probably this is best learned from a grad student in a lab.

Revision as of 20:38, 28 June 2010

Home < CTSC:TTIC.062910

Back to Collaboration:Harvard_CTSC

Agenda

1. Consultations:

  • still need a consultant with FSL routines expertise (David Salat not available, will contact Doug Greve at Martinos Center)
  • new consultation #166: I am an Oral and Maxillofacial Surgeon with a specific interest in imaging of the TMJ (temporomandibular joint). Specifically, I am interested in finding the best imaging modality for synovitis of TMJ -- perhaps as a measure of arthritic disease activity? I routinely use MRI with contrast, but I am wondering if there is a way to maximize this modality and/or quantify it via spectrometry perhaps?

2. Education program:

  • Results from evaluation survey
  • Schedule practice talks before RSNA for the lifecycle of an imaging biomarker talk

Comments: Neuroimaging MGH

  • More about functional brain MRI techniques (including tractography and spectroscopy) with more practical examples.
  • I would have re-organized the order of the talks in the course. It seems odd to have the talk on actual image acquisition to be 2nd. 2. In addition, the level with which that particular class was taught seemed disparate with the other courses. 3. Although it was interesting to see what other investigators were doing and what was possible it may be better to have a quick survey of all the different possibilities of working with imaging and the services offered with examples for some. The applicability of the talk was somewhat questioned.
  • I would appreciate more courses that cover imaging algorithms and tools.
  • The course was too much focused on specific applications/research projects. It should explain more the general principles and methods.
  • should have more clinical appplication in stroke patient.
  • while the course was taught at a good level, there were numerous delays due to problems with the presentation and /or the electronics.
  • Loved the course. MS-talk was a bit too specific for MS database, with little imaging content. First talk was fantastic. Collaborations were encouraged - however, when following up on this per email, no response.. was a bit disappointing..
  • More about the special types of statistical and data analysis (the nitty gritty)-- though probably this is best learned from a grad student in a lab.