Non-coplanar CBCT image reconstruction using a generative adversarial network for non-coplanar radiotherapy.

Purpose: To develop a non-coplanar cone-beam computed tomography (CBCT) image reconstruction method using projections within a limited angle range for non-coplanar radiotherapy.

Methods: A generative adversarial network (GAN) was utilized to reconstruct non-coplanar CBCT images. Data from 40 patients with brain tumors and two head phantoms were used in this study.

A grayscale compression method to segment bone structures for 2D-3D registration of setup images in non-coplanar radiotherapy.

. To evaluate the performance of an automated 2D-3D bone registration algorithm incorporating a grayscale compression method for quantifying patient position errors in non-coplanar radiotherapy..

A subregion-based prediction model for local-regional recurrence risk in head and neck squamous cell carcinoma.

Background And Purpose: Given that the intratumoral heterogeneity of head and neck squamous cell carcinoma may be related to the local control rate of radiotherapy, the aim of this study was to construct a subregion-based model that can predict the risk of local-regional recurrence, and to quantitatively assess the relative contribution of subregions.

Materials And Methods: The CT images, PET images, dose images and GTVs of 228 patients with head and neck squamous cell carcinoma from four different institutions of the The Cancer Imaging Archive(TCIA) were included in the study. Using a supervoxel segmentation algorithm called maskSLIC to generate individual-level subregions.

Combining autoencoder with clustering analysis for anomaly detection in radiotherapy plans.

Background: To develop an unsupervised anomaly detection method to identify suspicious error-prone treatment plans in radiotherapy.

Methods: A total of 577 treatment plans of breast cancer patients were used in this study. They were labeled as either normal or abnormal plans by experienced clinicians.

A two-layer cylinder phantom developed for film-based isocenter verification of radiotherapy machine.

Purpose: A two-layer cylinder (TLC) phantom was developed for simplifying film-based isocenter verification of linear accelerators in radiotherapy.

Methods And Materials: The phantom mainly consists of two parts: (1) two nested solid cylinders between which a radiochromic film can be inserted and irradiated; (2) a tungsten ball supported by a thin rod and located at the phantom center for alignment with the mechanical isocenter. In practice, the phantom was first positioned by the room laser to align the tungsten ball to the mechanical isocenter of the linear accelerator.