Fluorescence molecular tomography (FMT) could exploit the distribution of fluorescent
biomarkers that target tumors accurately and effectively, which enables noninvasive real …

While interior-point methods share the same fundamentals, the implementation determines
the actual performance. In order to attain the highest efficiency, different applications may …

The purpose of this study is to investigate the feasibility and impact of incorporating
deliverable monitor unit (MU) constraints into spot intensity optimization (SIO) in intensity …

We present a method for handling dose constraints as part of a convex programming
framework for inverse treatment planning. Our method uniformly handles mean dose …

Navigation-based multi-criteria optimization has been introduced to radiotherapy planning in
order to allow the interactive exploration of trade-offs between conflicting clinical goals …

Proton pencil beam scanning (PBS) treatment plans are made of numerous unique spots of
different weights. These weights are optimized by the treatment planning systems, and …

In this paper, we propose a successive linear programming (LP) approach for an intensity-
modulated radiotherapy treatment (IMRT) optimization. The use of IMRT enables to control …

Benders' decomposition is an important tool used to solve large-scale optimization problems
found in healthcare. Radiation therapy and operating room planning and scheduling are two …

The intensity modulated radiation therapy (IMRT) treatment planning problem is usually
divided into three smaller problems that are solved sequentially: the geometry problem …

The convexity of objectives and constraints in fluence map optimization (FMO) for radiation
therapy has been extensively studied. Next to convexity, there is another important …