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NA-MIC National Alliance for Medical Image Computing UNC Medical Image Analysis Group.

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Presentation on theme: "NA-MIC National Alliance for Medical Image Computing UNC Medical Image Analysis Group."— Presentation transcript:

1 NA-MIC National Alliance for Medical Image Computing http://na-mic.org UNC Medical Image Analysis Group

2 National Alliance for Medical Image Computing http://na-mic.org Who are we

3 National Alliance for Medical Image Computing http://na-mic.org UNC Facilities for Medical Imaging & Analysis A Computer Science Graphics & Image Lab (Pizer, Gerig, Styner) B RadOnc Computorium (Joshi) Ca Neuroimage Analysis Lab NIRL (fMRI, EPR: Belger) Neurolab (sMRI, DTI: Gerig, Styner) NDRC (Belger, Gerig, Styner) Cb Neurosurgical Planning Lab D Radiology CADDLAB (Aylward) E TEACH Autism Satellite Lab F UNC Radiology (MRI, US) G Duke BIAC (fMRI, MRI, MRS) H Duke Radiology (CAMRAD) F G,H E

4 National Alliance for Medical Image Computing http://na-mic.org Who are we – people Faculty –Guido Gerig (CS & Psych) –Martin Styner (CS & Psych) –Stephen M. Pizer (CS) –Stephen Aylward (Radiol) –Sarang Joshi (RadOnc) –Elizabeth Bullitt (Surgery) –Mark Foskey (RadOnc) –Joseph Piven (Psych) –John H. Gilmore (Psych) –Diana Perkins (Psych) –Aysenil Belger (Psych) –Heather Cody (Psych) –Weili Lin (Radiol UNC) –Gregory McCarthy (BIAC) Senior Res. Staff –Joseph Blocher –Sampath Vetsa –Isabelle Corouge –Matthieu Jomier –Joshua Bizzell Students –Ipek Oguz –Casey Goodlett –> 25 Graduate Students Others –Technical Assistants: 4 –Guest students: 9 –Trainees: 3

5 National Alliance for Medical Image Computing http://na-mic.org UNC Neuroimaging Research Projects Schizophrenia Research –Neonatal Study: Infants at Risk –Prodromal (subjects at risk) –First Episode FE (>250 scans, longitudinal) –Schizo-affected adolescents(TAPS) –Treatment Studies (CHOR, CATIE) –Pharmaceutical treatment study (Eli Lilly HGDG, >750 scans, longitudinal) Autism / Fragile-X (w. Stanford) (longitudinal design, 2 to 4 years, >130 scans) Twin Study / Sibling Study Neurodevelopment Research Center NDRC Surgical Planning: Tumor & Vascularity Neonatal screening by 3D ultrasound & processing (>200 3D scans) Neonate MRI study (babies at risk, longitudinal design, MRI&DTI, >120 scans) Neonatal twin study (heritability) ….

6 National Alliance for Medical Image Computing http://na-mic.org Grant funding P20 Medical Image Presentation MIP P50 Silvio Conte Center U54 Autism STAART Center U54 NAMIC (15%) P30 Neurodevelopmental Disorders Research Core NDRC > 10 R01s related to neuroimaging research External: NAAR, Eli Lilly etc. ….

7 National Alliance for Medical Image Computing http://na-mic.org How do we fit with NAMIC UNC Neuroimaging has profound experience with methodology development driven by clinical projects: –Joint collaboration CS and clinical partners –Tools validated, tested and applied in large clinical projects –Training & education is/was always critical part UNC Neuroimaging Lab has profound experience with ITK- based open-source SW development: –UNC original ITK developer’s site (Aylward, Ibanez, Jomier etc.) –SNAP-ITK, ValMet, DTItools, Imagine, MRIwatcher, …. Use our UNC experience with large clinical studies in collaborations with Core 3 groups Contributions: Algorithms for DTI, Shape, Statistics, Segmentation etc.

8 National Alliance for Medical Image Computing http://na-mic.org How does NAMIC help us Closes important gap difficult to fund otherwise: –Methods at the frontiers professionally implemented, transferred to clinical partners and rigorously tested and compared NAMIC Toolkit: UNC tools become available and are promoted: –Unique chance for testing, validation, feedback, competitive comparison NAMIC provides professional SW environment: –Amplifies UNC-focused projects, reach out –Collaborative R&D effort makes science stronger NAMIC extremely attractive for GRAs/PostDocs: –Get exposed to multi-site multi-disciplinary effort –Collaborate with students of other labs and end-users –Learn importance of structured/professional prototyping and programming: Efficiency, time-to-market, importance of testing


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