Core 5 Timeline Notes

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Home < Core 5 Timeline Notes

Harvard

Specific Aim #1:

The first aim is to develop formal training guidelines that specify the educational content that will be required knowledge for all trainees.

Specific Aim #2:

Our second aim is to provide mentoring experiences to graduate students and post-doctoral and research fellows who are participating in the NAMIC project and who need to acquire knowledge in areas outside of their primary area of expertise.

Milestones achieved include:

Small group tutorials in functional neuroanatomy and clinical correlations were provided to the computer science and medical image engineering participants during Programming weeks and AHMs.

NAMIC Core 3 faculty and staff provided 1:1 mentoring to engineering and computer science trainees as part of on-going collaborations.

NAMIC Core 1, 2 and 4 faculty and staff provided 1:1 mentoring to Core 3 trainees as part of on-going collaborations.


Specific Aim #3:

Our third aim is to develop a multidisciplinary collaborative work environment that is supportive of learning new areas of expertise for all participants.

Milestones achieved include:

All projects involve participants from all Cores who work in close collaboration with regular communication via Wiki, T-con, email and face-to-face meetings in small and large groups. The culture of our group nurtures open questioning and education to all members in all venues of contact. All members make a concerted effort to provide detailed and helpful documentation to facilitate broad understand across the group. The P.I.s of all Cores and the overall PI are vigilant in curating the content to ensure the high quality of this communication.


Specific Aim #4:

A fourth aim is to develop the educational component to support the image analysis and visualization tools that will be disseminated by the NAMIC to the wider biomedical community.

Milestones achieved include:


We delivered over 300 slides as part of 8 self-guided tutorials that include pre-processed, anonymized data sets on our Slicer 101 web page that had over 2000 hits in 200 days.

Slicer Training 1: Loading and Viewing Data

Slicer Training 2: Manual Segmentation and Model Making

Slicer Training 3: Level-Set Segmentation

Slicer Training 4: DT-MRI module

Slicer Training 5: fMRI Module - Small Data , fMRI Module -Large Data (you need a serious workstation for this data set)

Slicer Training 6: vtkFreeSurferReaders Module

Slicer Training 7: Saving Data

Slicer Advanced Modules

Slicer Advanced Training: EMBrainAtlasClassifier


Specific Aim #5:

Our fifth aim is to develop demonstrations and hands on training programs to be delivered at national and international conferences in the domains of clinical neuroscience and medical image analysis.

Milestones achieved include:

More than 300 people attended the 12 workshops we offered this year at local NA-MIC sites, national conferences, and international meetings.

MIND Institute Training Workshop, April 10-11, 2006.

NIH Training Workshop, April 27, 2006

UNC DTI Training Workshop, May 2006

HCNR User Training Workshop at the SPL on Boylston St, Boston - January 24, 2006

Neuroanatomy Training Seminar, Jan.8 2006, Salt Lake City

Training T-cons

RSNA 2005, Nov.27-Dec.2, Chicago Open source imaging tools workshop: Slicer session 3DSlicerOverview, 3DSlicer Hands On.

MICCAI Open-Source workshop - October 2005 (www.miccai.org)

3D Slicer/Freesurfer Workshop San Diego October,20 2005

September 30, 2005. User Training Workshop at the SPL on Boylston St, Boston.

16 September 2005. User Training Workshop at MGH

Programming Week - MIT Cambridge, June 27 - July 1st

Training-Dissemination Workshop - Darmouth May 26-27 2005

Darmouth Workshop

AUR 2005 Conference - Montreal May 4-7, 2005