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恶性胸膜间皮瘤的三维立体容积成像

Three-dimensional stereoscopic volume rendering of malignant pleural mesothelioma.

作者信息

Mollberg Nathan M, Parsad Nigel M, Armato Samuel G, Vigneswaran Janani, Kindler Hedy L, Sensakovic William F, Salgia Ravi, Silverstein Jonathan C, Vigneswaran Wickii T

机构信息

Department of Surgery, University of Illinois at Mt. Sinai Hospital, Chicago, Illinois 60637-1470, USA.

出版信息

Int Surg. 2012 Jan-Mar;97(1):65-70. doi: 10.9738/CC66.1.

Abstract

Our objective was to investigate the application of three-dimensional (3D) stereoscopic volume rendering with perceptual colorization on preoperative imaging for malignant pleural mesothelioma. At present, we have prospectively enrolled 6 patients being considered for resection of malignant pleural mesothelioma that have undergone a multidetector-row computed tomography (CT) scan of the chest. The CT data sets were volume rendered without preprocessing. The resultant 3D rendering was displayed stereoscopically and used to provide information regarding tumor extent, morphology, and anatomic involvement. To demonstrate this technique, this information was compared with the corresponding two-dimensional CT grayscale axial images from two of these patients. Three-dimensional stereoscopic reconstructions of the CT data sets provided detailed information regarding the local extent of tumor that could be used for preoperative surgical planning. Three-dimensional stereoscopic volume rendering for malignant pleural mesothelioma is a novel approach. Combined with our innovative perceptual colorization algorithm, stereoscopic volumetric analysis potentially allows for the accurate determination of the extent of pleural mesothelioma with results difficult to duplicate using grayscale, multiplanar CT images.

摘要

我们的目的是研究三维(3D)立体容积再现技术结合感知色彩化在恶性胸膜间皮瘤术前成像中的应用。目前,我们前瞻性地纳入了6例考虑行恶性胸膜间皮瘤切除术且已接受胸部多排螺旋计算机断层扫描(CT)的患者。CT数据集未经预处理直接进行容积再现。生成的3D再现图像以立体方式显示,并用于提供有关肿瘤范围、形态和解剖受累情况的信息。为演示该技术,将这些信息与其中2例患者对应的二维CT灰度轴位图像进行了比较。CT数据集的三维立体重建提供了有关肿瘤局部范围的详细信息,可用于术前手术规划。恶性胸膜间皮瘤的三维立体容积再现是一种新方法。结合我们创新的感知色彩化算法,立体容积分析有可能准确确定胸膜间皮瘤的范围,而使用灰度多平面CT图像难以获得同样的结果。

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