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使用机载成像仪的四维锥形束计算机断层扫描

Four-dimensional cone-beam computed tomography using an on-board imager.

作者信息

Li Tianfang, Xing Lei, Munro Peter, McGuinness Christopher, Chao Ming, Yang Yong, Loo Bill, Koong Albert

机构信息

Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California 94305, USA.

出版信息

Med Phys. 2006 Oct;33(10):3825-33. doi: 10.1118/1.2349692.

Abstract

On-board cone-beam computed tomography (CBCT) has recently become available to provide volumetric information of a patient in the treatment position, and holds promises for improved target localization and irradiation dose verification. The design of currently available on-board CBCT, however, is far from optimal. Its quality is adversely influenced by many factors, such as scatter, beam hardening, and intra-scanning organ motion. In this work we quantitatively study the influence of organ motion on CBCT imaging and investigate a strategy to acquire high quality phase-resolved [four-dimensional (4D)] CBCT images based on phase binning of the CBCT projection data. An efficient and robust method for binning CBCT data according to the patient's respiratory phase derived in the projection space was developed. The phase-binned projections were reconstructed using the conventional Feldkamp algorithm to yield 4D CBCT images. Both phantom and patient studies were carried out to validate the technique and to optimize the 4D CBCT data acquisition protocol. Several factors that are important to the clinical implementation of the technique, such as the image quality, scanning time, number of projections, and radiation dose, were analyzed for various scanning schemes. The general references drawn from this study are: (i) reliable phase binning of CBCT projections is accomplishable with the aid of external or internal marker and simple analysis of its trace in the projection space, and (ii) artifact-free 4D CBCT images can be obtained without increasing the patient radiation dose as compared to the current 3D CBCT scan.

摘要

机载锥形束计算机断层扫描(CBCT)最近已可用于提供处于治疗位置的患者的体积信息,并有望改善靶区定位和照射剂量验证。然而,目前可用的机载CBCT的设计远非最佳。其质量受到许多因素的不利影响,如散射、束硬化和扫描过程中器官的运动。在这项工作中,我们定量研究了器官运动对CBCT成像的影响,并研究了一种基于CBCT投影数据的相位分箱来获取高质量相位分辨[四维(4D)]CBCT图像的策略。开发了一种在投影空间中根据患者呼吸相位对CBCT数据进行分箱的高效且稳健的方法。使用传统的费尔德坎普算法对相位分箱后的投影进行重建,以生成4D CBCT图像。进行了体模和患者研究以验证该技术并优化4D CBCT数据采集协议。针对各种扫描方案,分析了对该技术临床应用重要的几个因素,如图像质量、扫描时间、投影数量和辐射剂量。本研究得出的一般参考意见是:(i)借助外部或内部标记物并对其在投影空间中的轨迹进行简单分析,可实现CBCT投影的可靠相位分箱,以及(ii)与当前的3D CBCT扫描相比,在不增加患者辐射剂量的情况下可获得无伪影的4D CBCT图像。

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