Difference between revisions of "CTSC:education Neuroscience"

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Back to [[Collaboration:Harvard_CTSC|Collaboration:Harvard_CTSC]] <br>
 
Back to [[Collaboration:Harvard_CTSC|Collaboration:Harvard_CTSC]] <br>
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=Neuroscience Imaging: Clinical Practice and Research Applications: April 1st MGH (2-5 pm), April 9th (8am-12pm)=
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=Neuroscience Imaging: Clinical Practice and Research Applications=
  
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*Introduction 10 minutes Randy Gollub
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*Introduction 10 minutes  
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===First lecture: Frontiers of clinical neuroimaging===
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===Translation of neuroimaging technologies to advance clinical care ===
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1 hour
+
55 minutes
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* Content:
+
* Speaker:
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** Applications-based modules (MS, Alzheimer, pediatrics neuroimaging etc)
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* Content: Using disease based orientation provide detailed examples of how clinical and research image acquisition and analysis informs clinical decision making.  Will include information on when imaging acquisition is based on clinical standards versus research sequences.<br>
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** Sample chosen so that each modality is represented at least once.
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*Pediatric epilepsy (ectopic grey matter)
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** Get a full range of biomarkers and specify if they are currently used in clinical practice or under development and used only for research.
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** fMRI functional localization,
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* Speakers: Simon Warfield
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** white matter connectivity - DTI
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* Slides contribution: Charles Guttmann, Bruce Rosen
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** structural MRI
 +
** MEG/EEG
 +
** PET/SPECT
 +
** CT - localization of electrodes <br>
 +
<br>
 +
*Tuberous Sclerosis  (phenotype- all with tubers, +/- autism; not related to localization of lesions)
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** structural MRI- FLAIR, SWI (email Marty and Karl to Simon)
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** CT scan
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** DWI- DTI, tractography (myelination)
  
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===Second lecture: Quantitative (neuroimaging)* biomarkers===
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===Quantitative Neuroimaging Biomarkers===
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30 minutes
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45 minutes
 +
* Speakers:
 
*Content:
 
*Content:
 
** What makes a good quantitative imaging biomarker?
 
** What makes a good quantitative imaging biomarker?
 
** Lifecycle of a neuroimaging data (notion of pixel, format, post-processing, from acquisition to PACS and back etc)
 
** Lifecycle of a neuroimaging data (notion of pixel, format, post-processing, from acquisition to PACS and back etc)
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* Potential speakers: Ron Kikinis (April 1), Sonia Pujol (April 9)
 
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* Slides contribution: Bruce Rosen, Greg Sorenson, Jeff Yap
 
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(*): discuss option to make this a more generic lecture that could fit other modules (oncology, cardiovascular etc)
 
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Coffee Break 10 minutes
 
  
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===Third lecture: Survey of modalities===
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===Pathophysiological and clinical insights from neuroimaging ===
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1 hour
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55 minutes
 +
* Speaker:
 
* Content:
 
* Content:
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** Get more basic details on the different imaging modalities currently used in neuroimaging
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** Based on work in both MS and cerebrovascular disease will include image data management too.
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** What are the different quantitative biomarkers that can be collected by the different imaging modalities
 
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* Potential speakers: Charles Guttmann
 
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* Slides contribution: Bruce Rosen
 
  
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===Fourth lecture: Guide to neuroimaging resources within Harvard Catalyst===
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===Neuroimaging resources within the Harvard Catalyst Community===
 
10 minutes
 
10 minutes
 +
* Speakers:
 
*Content:
 
*Content:
 
** Consultation service
 
** Consultation service
 
** Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
 
** Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
 
** Education material online
 
** Education material online
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* Potential speakers: Valerie Humblet (April 9), Randy Gollub (April 1)
 

Latest revision as of 15:21, 28 June 2010

Home < CTSC:education Neuroscience

Back to Collaboration:Harvard_CTSC

Neuroscience Imaging: Clinical Practice and Research Applications

  • Introduction 10 minutes

Translation of neuroimaging technologies to advance clinical care

55 minutes

  • Speaker:
  • Content: Using disease based orientation provide detailed examples of how clinical and research image acquisition and analysis informs clinical decision making. Will include information on when imaging acquisition is based on clinical standards versus research sequences.
  • Pediatric epilepsy (ectopic grey matter)
    • fMRI functional localization,
    • white matter connectivity - DTI
    • structural MRI
    • MEG/EEG
    • PET/SPECT
    • CT - localization of electrodes


  • Tuberous Sclerosis (phenotype- all with tubers, +/- autism; not related to localization of lesions)
    • structural MRI- FLAIR, SWI (email Marty and Karl to Simon)
    • CT scan
    • DWI- DTI, tractography (myelination)

Quantitative Neuroimaging Biomarkers

45 minutes

  • Speakers:
  • Content:
    • What makes a good quantitative imaging biomarker?
    • Lifecycle of a neuroimaging data (notion of pixel, format, post-processing, from acquisition to PACS and back etc)

Pathophysiological and clinical insights from neuroimaging

55 minutes

  • Speaker:
  • Content:
    • Based on work in both MS and cerebrovascular disease will include image data management too.

Neuroimaging resources within the Harvard Catalyst Community

10 minutes

  • Speakers:
  • Content:
    • Consultation service
    • Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
    • Education material online
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