David J. Hawkes

TL;DR: In this paper, a graph cut method applied to a surface curvature-based metric was used to detect haustral folds in CT images, where image patches were generated using endoluminal CT colonography surface rendering and the intensity difference between image pairs, along with additional neighbourhood information to enforce geometric constraints, were used with a Markov Random Field (MRF) model to estimate the fold labeling assignment.

TL;DR: The authors investigate intraoperative brain deformation by examining threshold boundary overlays and difference images and by measuring ventricular volume and present preliminary results obtained using a nonrigid registration algorithm to quantify deformation.

TL;DR: Visual analysis appears to be a sensitive and practical means to assess image misregistration accuracy and will lead to increase care when evaluating registration quality in both research and clinical settings.

TL;DR: In this article, the authors evaluated the feasibility and efficacy of a three-dimensional image registration technique for planning skull base surgery, performing frameless image registration for stereotaxic neurosurgery, and staging nasopharyngeal carcinoma.