SynthRAD2023

一个专注于放射治疗领域的数据集，它旨在推动从磁共振成像（/影像学/模态/核磁MRI）和锥束计算机断层扫描（CBCT）到合成计算机断层扫描（sCT）的图像转换算法的研究。数据集包含在接受放射治疗的患者的影像数据，主要聚焦于大脑和骨盆区域。包括/影像学/模态/核磁MRI、CBCT以及对应的真实CT图像，用于训练、验证和测试图像转换算法。This dataset is dedicated to the field of radiation therapy, aiming to advance research on image translation algorithms that convert magnetic resonance imaging (MRI, an imaging modality also known as nuclear magnetic resonance imaging) and cone-beam computed tomography (CBCT) into synthetic computed tomography (sCT). The dataset contains imaging data from patients undergoing radiation therapy, with a primary focus on the brain and pelvic regions. It includes MRI, CBCT, and their corresponding ground-truth CT images, which are used for training, validating, and testing image translation algorithms.

搜集汇总

背景与挑战

背景概述

SynthRAD2023是一个放射治疗领域的公开数据集，专注于从磁共振成像（MRI）和锥束计算机断层扫描（CBCT）生成合成计算机断层扫描（sCT）的图像转换算法研究。数据集包含大脑和骨盆区域的影像数据，总容量为26.00GB，由上海科学智能研究院发布，旨在支持相关医学影像算法的开发与优化。