Learn More
PURPOSE To investigate the spatial correlation between high uptake regions of 2-deoxy-2-[(18)F]-fluoro-D-glucose positron emission tomography ((18)F-FDG PET) before and after therapy in recurrent lung cancer. METHODS AND MATERIALS We enrolled 106 patients with inoperable lung cancer into a prospective study whose primary objectives were to determine(More)
Due to rapid advances in radiation therapy (RT), especially image guidance and treatment adaptation, a fast and accurate segmentation of medical images is a very important part of the treatment. Manual delineation of target volumes and organs at risk is still the standard routine for most clinics, even though it is time consuming and prone to intra- and(More)
PURPOSE We investigate automating the task of segmenting structures in head and neck CT scans, to minimize time spent manually contouring. We focus on the brainstem and left and right parotids. METHODS To generate contours for an unlabeled image, we assume an atlas of labeled images. We register each of these images to the unlabeled target image,(More)
PURPOSE To determine the dose level and timing of the boost in locally advanced lung cancer patients with confirmed tumor recurrence by comparing different boosting strategies by an impact of dose escalation in improvement of the therapeutic ratio. METHODS We selected eighteen patients with advanced NSCLC and confirmed recurrence. For each patient, a base(More)
PURPOSE To determine whether the difference in cumulative 18F-FDG uptake histogram of lung treated with either IMRT or PSPT is associated with radiation pneumonitis (RP) in patients with inoperable stage II and III NSCLC. METHODS We analyzed 24 patients from a prospective randomized trial to compare IMRT (n=12) with vs. PSPT (n=12) for inoperable NSCLC.(More)
PURPOSE The purpose of this work is to investigate the performance of an interactive image segmentation method for radiotherapy contouring on computed tomography (CT) images. Manual segmentation is a time consuming task that is essential for treatment. Due to the low contrast of target structures, their similarity to surrounding tissue, and the required(More)
PURPOSE Dose escalation strategy for lung cancer patients can lead to late symptoms such as pneumonitis and cardiac injury. We propose a strategy to increase radiation dose for improving local tumor control while simultaneously striving to minimize the injury of organs at risk (OAR). Our strategy is based on defining a small, biologically-guided target(More)
PURPOSE Atlas-based segmentation is a general approach to automatic segmentation that labels regions of an image based on their alignment to existing structures in an atlas image. The atlas-based approach can be improved by aligning multiple atlases with the target image, and fusing their results. A typical strategy for multi-atlas segmentation is weighted(More)
Image registration is inherently ill-posed, and lacks a unique solution. In the context of medical applications, it is desirable to avoid solutions that describe physically unsound deformations within the patient anatomy. Among the accepted methods of regularizing non-rigid image registration to provide solutions applicable to medical practice is the(More)
  • 1