Automatic Segmentation of the Liver in CT Images Using a Model of Approximate Contour

机译：使用近似轮廓模型自动分割CT图像中的肝脏

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The segmentation of the liver structure from a computed tomography (CT) image is an important function of the software designed to assist liver diagnostics, because it allows for the elimination of excess information from the diagnostic process. In this paper, the task of segmentation has been implemented through first finding the contour of the liver which is made up of a finite number of joint polylines approximating individual fragments of the liver boundary in the CT image. Next, the field outside the contour is divided into two polygons and eliminated from the image. The initial reference point for the calculations is the lumbar section of the spine which is a central point of any CT image of the liver. The automatic method of segmentation is to be used in a dedicated computer system designed to diagnose liver patients.

机译：从计算机断层扫描（CT）图像分割肝脏结构是该软件的一项重要功能，该软件旨在协助肝脏诊断，因为它可以消除诊断过程中多余的信息。在本文中，分割的任务是通过首先找到肝脏轮廓来实现的，该轮廓由有限数量的关节折线组成，逼近CT图像中肝脏边界的各个片段。接下来，将轮廓外的场分为两个多边形并从图像中消除。计算的初始参考点是脊柱的腰部，这是肝脏任何CT图像的中心点。自动分割方法将用于专门用于诊断肝病患者的计算机系统中。

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《International Symposium on Computer and Information Sciences(ISCIS 2006); 20061101-03; Istanbul(TR)》|2006年|P.75-84|共10页
会议地点 Istanbul(TR)
作者
Marcin Ciecholewski; Krzysztof Debski;
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Institue of Automatics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland;

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原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
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专利

1. Automatic Liver Segmentation from 2D CT Images Using an Approximate Contour Model [J] . Marcin Ciecholewski Journal of signal processing systems for signal, image, and video technology . 2014,第2期

机译：使用近似轮廓模型从2D CT图像自动进行肝分割
2. Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours [J] . Medical Physics . 2014,第5期

机译：使用多个地图集，统计外观模型和测地线活动轮廓自动分割头部和颈部CT图像以进行放射治疗计划
3. Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model [J] . Hu Yuzhou, Guo Yi, Wang Yuanyuan, Medical Physics . 2019,第1期

机译：使用扩张的完全卷积网络与活动轮廓模型结合使用扩张的全卷积网络自动肿瘤分割
4. Automatic Segmentation of the Liver in CT Images Using a Model of Approximate Contour [C] . Marcin Ciecholewski, Krzysztof Debski International Symposium on Computer and Information Sciences(ISCIS 2006); 20061101-03; Istanbul(TR) . 2006

机译：使用近似轮廓模型自动分割CT图像中的肝脏
5. Automatic Liver and Tumor Segmentation from CT Scan Images using Gabor Feature and Machine Learning Algorithms [D] . Shrestha, Ujjwal. 2018

机译：使用Gabor特征和机器学习算法从CT扫描图像自动进行肝脏和肿瘤分割
6. Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases statistical appearance models and geodesic active contours [O] . Karl D. Fritscher, Marta Peroni, Paolo Zaffino, -1

机译：使用多个地图集统计外观模型和测地线活动轮廓自动分割头部和颈部CT图像以进行放射治疗计划
7. Automatic liver segmentation from 2D CT images using an approximate contour model [O] . Ciecholewski, Marcin 2014

机译：使用近似轮廓模型从2D CT图像自动进行肝分割

Automatic Segmentation of the Liver in CT Images Using a Model of Approximate Contour

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