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Technical Seminars

1. Image Processing with Matlab Seminar at NYU

Time:
Tuesday, November 16, 2010
Introductory Medical Image Processing with Matlab: 10:00 am - 12:00 pm.
Advanced Medical Image Processing with Matlab: 2:00pm - 4:00pm.

Location: Alumni Hall B at NYU Langone Medical Center at 550 1st Avenue.

Presenters: Brett Shoelson, Principal Application Engineer at Mathworks, and Heather Wellman, Senior Account Manager at Mathworks.

Introductory Medical Image Processing with MATLAB:
This seminar will review some of the products included in the new
campus-wide MATLAB License at NYU. The featured products include:
MATLAB, Image Processing Toolbox, Database Toolbox, Statistics Toolbox,
Optimization Toolbox and the Parallel Computing Toolbox. Whether or not
you currently use MathWorks software, this is an opportunity for all
NYU Faculty, Staff, Researchers and Students to:

  • Understand the campus wide MATLAB license at NYU and how to get access to it
  • See an overview of products in the MATLAB product family
  • View application-specific demonstrations of MathWorks products

More specifically, this seminar will be particularly valuable for anyone
using or intending to use MATLAB to acquire, process, and analyze
medical images for algorithm development. We will begin by
demonstrating how to import, display, analyze and examine images in
MATLAB. We will then step you through an example involving the
segmentation of an image to extract quantitative information, how to
develop and leverage an algorithm for batch processing, explore volume
visualization of a brain MRI image stack and multimodal image
registration, and demonstrate ways to create applications and share
results.
Highlights include:

  • Technical computing workflow: quantify tissue metastasis
  • Volume visualization from a brain MRI image stack
  • Multimodal image registration: optimizing the alignment of CT and MRI data
  • Atomic force microscopy example
  • Quantifying retinal blood flow

Advanced Medical Image Processing with Matlab:
In the context of solving a difficult image processing problem on a live
image feed, we will introduce and explore some advanced topics in image
processing including discussions of efficiently extracting and using
neighborhood indices, and of performing morphological operations. We
will also use watershed segmentation to differentiate objects that may
be contiguous, and we will demonstrate how to extract and filter objects
in an image based on those properties.
Highlights include:

  • Image visualization and graphics techniques
  • Advanced indexing methods
  • Morphological operations
  • Watershed segmentation
  • Blob analysis

Walk-ins and users with beginner to expert MATLAB skills are welcome to attend.