Kris T. Huang, MD, PhD, CTO

 

Advanced interactive visualization in Autofuse

Real-time volumetric rendering–
See and explore the human body like never before

 

                          

MRI or CT? Tell us what you think!

Continue reading “Can you tell between an MRI and a CT?”

 

Kris T. Huang, MD, PhD, CTO

Legacy systems, technical debt, and the advantage of starting (mostly) from scratch

In the midst of COVID-19, at Pymedix we’re busy working on 3D medical imaging software for the future of medicine, and we’re gearing up to test our Autofuse pilot product under real-world conditions. Our roots are in radiation oncology, but our perspective is the future of cancer imaging, and medical imaging. We have the strange and wonderful task of thinking inside the box, from the outside of the box. And, being a startup, we started (mostly) from scratch.

Kris T. Huang, MD, PhD, CTO

The 1990s brought progress from chamfer matching to voxel intensity, and it ushered in the idea that intensity relationships between images could be non-linear, hinting at the concept of a more general dependence between images.

Continue reading “A Brief History of Image Registration: Part 3”

Kris T. Huang, MD, PhD, CTO

Last time, we took a brief stroll through the timeline of radiology to take a look at the relationship between the evolution of imaging technologies and corresponding development in medical image registration. Digital radiology took root with the clinical introduction of CT in 1971, and despite the introduction of clinical MRI in 1980, it wasn’t until PET came of age in the early 1990s that the utility of image registration became plainly evident. Today we’ll dig into a couple of the early algorithms.

Continue reading “A Brief History of Image Registration: Part 2”