Project : Presentation (PP)

21/01/02 Ofir Glazer MRA- Vessel Tracking	21/01/02 Tal Roza Visualization- Virtual Endoscopy	14/01/02 Yuval Ben Horin Hough Transform
28/01/02 Dvir Baserglick Registration - Atlas	21/01/02 Shy Menachem CT	21/01/02 Guy Blumstein Koren Segmentation in MRI using EM-MF
28/01/02 Alex Rabinovitch Mammography – lesion segmentation	28/01/02 Alex Steinman & Arkady Alperovitch Bias field correction in MRI	28/01/02 Dan Malowany & Ofer Cohen Morphology-Watershed Transform
03/02/02 Yael Eshet Texture Analysis	03/02/02 Yaron Shmueli &Yoel Popovitch Registration	03/02/02 Roxana Shelef MRI Segmentation using phase based Livewire
		03/02/02 Oren Safaranovitch Performance Metrics

The project is comprised of 2 parts:
A Literature Overview Report and a Class Presentation.
Each part is described in detail below.
Both parts are important components of the project grade.

Project : Literature Overview

    I.   INTRODUCTION:

                 Topic overview on available methods ( Example:  topic=registration; methods=rigid.../deformable...)

    II.   SPECIFIC  METHOD/S  INVESTIGATED:

· Summary of the specific computational method/s (algorithms) that you researched

•     In-depth description of the medical application and related system.

    In the description of the system  you need to present a flow-chart that compactly represents the  system components.
    Describe each block in the flow-chart.

    III.  CRITICAL  REVIEW:
Provide a critical evaluation of the system you investigated using the suggested issues below.
                   In case you found several articles that can be compared, include a comparison across them.
                    (Example: a particular computational method used in different medical applications;
                    a particular medical application that is solved with several different algorithms).

                    Issue to consider:

• Type of data;
• What a-priori knowledge and assumptions are incorporated in the system;
• In what ways (if any) has the computational method (algorithm) been adapted in the medical-application scenario?
• Robustness issues (to noise, invariances);
• Discuss the results presented. What means are used to show results (visual, tables, plots, etc.);
• Result verification issues;

IV. YOUR SUGGESTION:

Use this section to suggest ways in which you suggest to improve the system/s
              you researched; suggest an improved algorithm; possible combination across different methods etc.

  Select 10 out of the 13 student presentations (see Table below). For each one you selected -
                    Discuss in a paragraph:  in what ways could the methods presented be used in your project?
                    (help in pre-processing, post-processing, compete with your methods..)
                    or - Why are they not relevant or why wont you decide to use them in your project?

 ***Note:  OVERALL LENGTH IS < 20 PAGES. ***

Class Presentation:

        In the class presentation you are to cover a part of the final written report. It should include:

• A short topic review (part of the general overview)
• A short description of the computational tool  researched
• Medical application, related system & results

*Prepare a 20-25 minute lecture on your project topic - overall 20 slides.