Radiotherapy (radiation therapy) is one of the main treatments for cancer. The aim is to
deliver a prescribed radiation dose to the tumor, while keeping the unavoidable dose to the …

This revised and updated second edition–now with two new chapters-is the only book to
give a comprehensive overview of computer algorithms for image reconstruction. It covers …

In super-resolution microscopy methods based on single-molecule switching, the rate of
accumulating single-molecule activation events often limits the time resolution. Here we …

We generalize the standard method of solving inverse optimization problems to allow for the
solution of inverse problems that would otherwise be ill posed or infeasible. In multiobjective …

Purpose: Accurate tumor tracking remains a challenge in current radiation therapy. Many
strategies including image guided radiation therapy alleviate the problem to certain extents …

We developed and evaluated a novel inverse optimization (IO) model to estimate objective
function weights from clinical dose-volume histograms (DVHs). These weights were used to …

Purpose: Recent advances in compressed sensing (CS) enable accurate CT image
reconstruction from highly undersampled and noisy projection measurements, due to the …

Existing volumetric modulated arc therapy (VMAT) optimization using coplanar arcs is highly
efficient but usually dosimetrically inferior to intensity modulated radiation therapy (IMRT) …

Purpose: Emission guided radiation therapy (EGRT) is a new modality that uses PET
emissions in real‐time for direct tumor tracking during radiation delivery. Radiation beamlets …

The culmination of radiation therapy's technical innovation during the past few decades led
to the development of volumetric modulated arc therapy (VMAT), 1 which constitutes the …