This paper was recently featured in the International Symposium of Biomedical Imaging (ISBI) 2017, and it was my first opportunity to submit my work to be published. It compares the performance of different image processing algorithms in terms of their ability to improve the image quality of an ultrasound scan of the brain. These particular scans are very useful in diagnosing early stages of Parkinson’s disease, but often aren’t clear enough to make a reliable diagnosis. I found that a large challenge in writing this paper was to constantly consider that the majority of people involved in this conference are doctors that don’t necessarily have the background to understand engineering jargon. To address this challenge I went into extra detail on some of the basics of these kinds of algorithms, and spent less time discussing the theoretical properties of the novel algorithms we introduced.