An atlas-based method to predict three-dimensional dose distributions for cancer patients who receive radiotherapy.

An atlas-based method to predict three-dimensional dose distributions for cancer patients who receive radiotherapy. Phys Med Biol. 2019 Mar 18;: Authors: Sa Y, Zhang R Abstract Due to the complexity of advanced radiotherapy techniques, the treatment planning process is usually time consuming and the plan quality can vary considerably among planners and institutions. It is also impractical to generate all possible treatment plans based on available radiotherapy techniques and select the best option for a specific patient. Automatic dose prediction will be very helpful in these situations, while there were a few studies of three-dimensional (3D) dose prediction for patients who received radiotherapy. The purpose of this work was to develop a novel atlas-based method to predict 3D dose prediction and to evaluate its performance. Previously treated nineteen left-sided post-mastectomy breast cancer patients and sixteen prostate cancer patients were included in this study. One patient was arbitrarily chosen as the reference for each type of cancer and all the remaining patients' computed tomography (CT) images and contours were aligned to it using deformable image registration (DIR). Deformable vector field (DVF) for each patient i (DVFi-ref) was used to deform the original 3D dose matrix of that patient. CT scan of the test patient was also registered with the same reference patient using DIR and both direct DVF (DVFtest-ref) and inverse ...
Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research