先进的图像分割和建模-回顾2021-2022主题系列。

IF 3.2 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Prashanth Ravi
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引用次数: 0

摘要

医疗3D打印是一种有利于患者护理的制造形式,特别是当3D打印部件是针对患者的,并且能够或促进对特定疾病的干预时。大多数针对患者的医疗3D打印都是从基于患者体积的医学图像开始的。通常进行几种数字操作来规定最终的解剖表现,然后进行3D打印。其中包括图像分割,其中从体积成像数据中以数字方式提取感兴趣的体积,例如器官或一组组织。图像分割需要医学专业知识、培训、软件和努力。图像分割的主题与医学3D打印有着广泛的交集。这篇社论的目的是在最近的3D打印医学专题系列中突出不同的交叉点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advanced Image Segmentation and Modeling - A Review of the 2021-2022 Thematic Series.

Advanced Image Segmentation and Modeling - A Review of the 2021-2022 Thematic Series.

Advanced Image Segmentation and Modeling - A Review of the 2021-2022 Thematic Series.

Advanced Image Segmentation and Modeling - A Review of the 2021-2022 Thematic Series.

Medical 3D printing is a form of manufacturing that benefits patient care, particularly when the 3D printed part is patient-specific and either enables or facilitates an intervention for a specific condition. Most of the patient-specific medical 3D printing begins with volume based medical images of the patient. Several digital manipulations are typically performed to prescribe a final anatomic representation that is then 3D printed. Among these are image segmentation where a volume of interest such as an organ or a set of tissues is digitally extracted from the volumetric imaging data. Image segmentation requires medical expertise, training, software, and effort. The theme of image segmentation has a broad intersection with medical 3D printing. The purpose of this editorial is to highlight different points of that intersection in a recent thematic series within 3D Printing in Medicine.

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