肝动态ct图像分割与刚性配准在脂肪肝诊断评估中的应用

Q3 Engineering

Journal of Computing Science and Engineering Pub Date : 2023-09-30 DOI:10.5626/jcse.2023.17.3.117

Kyoyeong Koo, Sunyoung Lee, Kyoung Won Kim, Kyung Won Kim, Jeongjin Lee, Jiwon Hwang, Taeyong Park, Heeryeol Jeong, Seungwoo Khang, Jongmyoung Lee, Hyuk Kwon, Seungwon Na

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引用次数: 0

摘要

本研究提出了一种诊断脂肪肝的方法，利用同一患者的肝脏时差计算机断层扫描(CT)图像对肝脏区域进行分割和刚性配准，排除血管区域。该方法包括三个主要步骤。首先，在对比前期分割肝脏区域，在门静脉期分割肝脏和肝血管区域。其次，在肝脏区域之间进行刚性配准，以对齐受患者影响的肝脏位置

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Segmentation and Rigid Registration of Liver Dynamic Computed Tomography Images for Diagnostic Assessment of Fatty Liver Disease

This study presents a method for diagnosing fatty liver disease by using time-difference liver computed tomography (CT) images of the same patient to perform segmentation and rigid registration on liver regions, excluding the vascular regions. The proposed method comprises three main steps. First, the liver region is segmented in the precontrast phase, and the liver and liver vessel regions are segmented in the portal phase. Second, rigid registration is performed between the liver regions to align the liver positions affected by the patient

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来源期刊

Journal of Computing Science and Engineering Engineering-Engineering (all)

CiteScore

1.00

自引率

0.00%

发文量

期刊介绍： Journal of Computing Science and Engineering (JCSE) is a peer-reviewed quarterly journal that publishes high-quality papers on all aspects of computing science and engineering. The primary objective of JCSE is to be an authoritative international forum for delivering both theoretical and innovative applied researches in the field. JCSE publishes original research contributions, surveys, and experimental studies with scientific advances. The scope of JCSE covers all topics related to computing science and engineering, with a special emphasis on the following areas: Embedded Computing, Ubiquitous Computing, Convergence Computing, Green Computing, Smart and Intelligent Computing, Human Computing.