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SUNRISE
EDUCATIONAL COURSE |
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Computer-Aided Diagnosis: Managing the Information Explosion |
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ORGANIZER: Pratik Mukherjee, M.D., Ph.D. |
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SKILL LEVEL: Appropriate
for all skill levels |
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OVERVIEW |
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The topics to be
covered in this four-hour course are related to the emerging
technologies of machine learning and computer-aided diagnosis,
including their application to MRI datasets, as well as new trends
in imaging informatics. Our overall goal is to help educate MR
scientists, Ph.D. students and clinicians to exciting new
developments in "quantitative imaging", including automated
post-processing, data-driven feature extraction, and computer-aided
lesion detection, as applied to neuro MRI and body MRI. New
informatics technologies including cloud computing will also be
covered. Speakers are mainly Ph.D. scientists and M.D.-Ph.D.
clinician-scientists with expertise in computer science and/or
information technology. The format will be lectures, each followed
by a brief discussion period. |
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EDUCATIONAL OBJECTIVES |
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Upon completion
of this course participants should be able to: |
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Describe new trends in analyzing large and complex
imaging datasets, especially as related to MRI; |
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Explain the basic concepts of machine learning and
multivariate statistics, especially as applied to
medical imaging; |
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Describe the potential applications and possible
pitfalls of supervised and unsupervised machine
learning methods; |
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Evaluate potential applicability of machine learning
and computer-aided detection to neuro MRI, body MRI,
and MSK MRI; and |
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Recommend implementing particular emerging machine
learning and/or computer-aided diagnosis techniques
at their institution. |
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AUDIENCE
DESCRIPTION |
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The
intended audience includes the entire ISMRM community,
including Ph.D. MR scientists and engineers, M.D. clinicians
as well as all trainees including students and postdocs. |
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PROGRAM |
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Click on
 to view
the abstract pdf. Click on 
to view the recorded presentation. |
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Tuesday, 8 May
2012
Moderators: Joseph A. Maldjian, M.D. & Pratik Mukherjee, M.D.,
Ph.D. |
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07:00
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Data-Driven
Feature Extraction from Complex MRI Datasets: PCA, ICA, Etc.
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Stephen
M. Smith, D.Phil. |
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07:30
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Machine Learning
Classification & Regression
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Edward H.
Herskovits, M.D., Ph.D. |
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08:00
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Adjournment
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Wednesday, 9
May 2012
Moderators: Joseph A. Maldjian, M.D. & Pratik Mukherjee, M.D., Ph.D.
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07:00
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Machine Learning
in Neuroradiology I
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Joseph A. Maldjian, M.D. |
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07:30 |
Machine Learning in Neuroradiology
II
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Edward H.
Herskovits, M.D., Ph.D. |
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08:00
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Adjournment
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Thursday, 10 May 2012
Moderators: Joseph A. Maldjian, M.D. & Pratik Mukherjee, M.D., Ph.D.
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07:00 |
CAD of Breast MRI
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Savannah
C. Partridge, Ph.D. |
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07:30 |
CAD of Liver MRI
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Jeffrey
H. Maki, M.D., Ph.D. |
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08:00
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Adjournment
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Friday, 11 May 2012
Moderators: Joseph A. Maldjian, M.D. & Pratik Mukherjee, M.D., Ph.D.
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07:00 |
CAD of
Musculoskeletal MRI: Automated Morphometric Analysis
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Julio Carballido-Gamio, Ph.D. |
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07:30 |
CAD of
Musculoskeletal MRI: Feature Detection using T2 & T1rho Relaxometry
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Julio Carballido-Gamio, Ph.D. |
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08:00
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Adjournment
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