Christopher Changchien Software & Music Developer


Medical image processing and image viewing are generally separated workflows, however this can be a hindrance in research when available time on processing machines is limited. This plugin enables students, physicians, and researchers, to engage MRI processing on a platform typically reserved only for viewing

Example image


While I was a Data Analyst at UCSD, a major portion of my work involved using LIPOQUANT, a novel MRI quantification technique which analyzes the fat content of liver. OsiriX is a an open source solution used by radiologists around the world. It is an open source solution created to make research and patient-care workflows easier.


LIPOQUANT has been shown to be an accurate method for assessing liver fat, however from a workflow standpoint, it is a challenge because it is process intensive. Typically what happens is a set of source images is generated on an MRI scanner, the scanner processes the source data into a map that is then sent on to data stores elsewhere. Analysts can retrieve that data and then use it as needed. However, often the generated maps can and do go missing, whether through failed transfer/user error, etc.


I created the Osirix LIPOQUANT Tool so that post-processing of raw MRI images could be performed by analysts using OsiriX. OsiriX open sources the ability to build plugins for it (Objective-C), and so I was able to build a custom suite for post-processing raw MRI images to apply the LIPOQUANT technique.


The OsiriX LIPOQUANT tool cut down a lot on the amount of time that was needed in analysis of LIPOQUANT data.


This made our research workflows to be considerably more efficient, since there was no longer a need for someone to actually go to the MRI to perform the post-processing technique (especially since the MRI time is so valuable and nearly always had patients)