Neuroimaging

Introduction - With the opening of Stanford's Center for Cognitive and Neurobiological Imaging (CNI), we now have access to a large number of MR scans of the human brain. We are also closely connected to the MR hardware and image processing algorithms. While this course is not specifically about neuroimaging, some of the methods in the course might be usefully applied to the data collected at the CNI. For students already working in MR and interested in such signal processing, we might be able to develop some projects that build on your interest. Two possible projects are algorithms to: Identify when two MR images are of the same brain (brainprint), even if they were acquired using different contrasts.

Methods - Describe your algorithm or approach. Detail any issues or problems that were particularly important. Emphasize the parts of the project that you wrote (instead of ISET or downloaded code). Describe the analysis in enough detail so that someone could understand and repeat your analysis. What data and software did you use? What were the ideas of the algorithm and data analysis?

Results - Organize your results in a good logical order (not necessarily historical order). Include relevant graphs and/or images. Make sure graph axes are labeled. Make sure you draw the reader's attention to the key element of the figure. The key aspect should be the most visible element of the figure or graph. Help the reader by writing a clear figure caption.

Conclusions - Describe what you learned. What worked? What didn't? Why? What would you do if you kept working on the project?

References _ List references. Include links to papers that are online. http://brain.oxfordjournals.org/content/130/5/1432.full.pdf

Appendix I - Sourcecode - zip. Results images Describe each link

Appendix II - (for groups only) - Work breakdown. Explain how the project work was divided among group members.