Documents

My PhD thesis. I’m still pretty happy with it, although every time I look at it I see a new thing I wish I’d done differently. Hosted here so anyone can come look and also tell me what I should have done differently.

My slides from AAPM 2019 in San Antonio, Texas. This discusses a simulation study where x-ray CBCT scan data is simulated for conventional (1,320 projection, 4 minute) and quick (200 projections, 80-ish seconds, matched to patient breathing) acquisition protocols across 16 lung cancer patients. The data is then reconstructed with a variety of algorithms, including one I came up with (MCMKB). The reconstructions are then compared with a couple different metrics. These slides are pretty light on detail, however a related paper should be coming soon.

A talk I gave in January 2020 in Image X on Computed Tomography. I wanted to write a talk that would let people with basic maths approach the CT reconstruction problem. Basically show that it quickly boils down to solving y = Ax, you can solve it like any other linear set of equations, or handwave to filtered back projection (). A little digression at the end into the deficiencies in the y = Ax model. I don’t know how useful the slides are on their own, they are at least good to refer back to if you’ve heard a similar talk before.