Julien Finet

TL;DR: An overview of 3D Slicer is presented as a platform for prototyping, development and evaluation of image analysis tools for clinical research applications and the utility of the platform in the scope of QIN is illustrated.

TL;DR: What are gaps in the way medical image computing is pursued today; how a well-executed research platform can enable discovery, innovation and reproducible science ("Open Science"); and how the quest to build such a software platform has evolved into a productive and rewarding social engineering exercise in building an open-access community with a shared vision are discussed.

TL;DR: The methodology is based on an intuitive port placement visualization module and atlas-based registration algorithm to transfer port locations to individual patients, and would decrease the amount of physician input necessary to optimize port placement for each patient case.

TL;DR: Preliminary results with a new annotation tool for liver volume and inner vessels from DCE-MRI data.

TL;DR: SlicerPET, a user-friendly workflow based module developed using open source software libraries to guide needle biopsy in the interventional suite, is presented.