A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy

Yang Jinzhong; Beadle Beth M.; Garden Adam S.; Schwartz David L.; Aristophanous Michalis

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A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy

机译：用于头部和颈部放射治疗中目标自动勾画的多模式分割框架

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摘要

Purpose: To develop an automatic segmentation algorithm integrating imaging information from computed tomography (CT), positron emission tomography (PET), and magnetic resonance imaging (MRI) to delineate target volume in head and neck cancer radiotherapy.

机译：目的：开发一种自动分割算法，将来自计算机断层扫描（CT），正电子发射断层扫描（PET）和磁共振成像（MRI）的成像信息整合在一起，以描述头颈癌放疗中的目标体积。

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《Medical Physics》 |2015年第9期|共11页
作者
Yang Jinzhong; Beadle Beth M.; Garden Adam S.; Schwartz David L.; Aristophanous Michalis;
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正文语种 eng
中图分类基础医学;
关键词
multimodality segmentation; Gaussian mixture model; target definition; head and neck cancer;

机译：多模态分割高斯混合模型目标定义头颈癌;

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专利

1. A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy [J] . Yang Jinzhong, Beadle Beth M., Garden Adam S., Medical Physics . 2015,第9期

机译：用于头部和颈部放射治疗中目标自动勾画的多模式分割框架
2. Target volumes in radiotherapy - head and neck tumors intensity - Modulated radiation therapy (IMRT) of nasopharyngeal carcinoma: practical aspects in the delineation of target volumes and organs at risk. [J] . Marcy PY, Zhu Y, Bensadoun RJ Cancer radiotherapie: journal de la Soci閠?fran鏰ise de radiotherapie oncologique . 2005,第4期

机译：放射治疗中的目标体积-头颈部肿瘤强度-鼻咽癌的调制放射治疗（IMRT）：确定目标体积和有风险的器官时的实际问题。
3. Evaluation of diffusion weighted imaging for tumor delineation in head-and-neck radiotherapy by comparison with automatically segmented 18 F-fluorodeoxyglucose positron emission tomography [J] . Tim Schakel, Boris Peltenburg, Jan-Willem Dankbaar, Physics and Imaging in Radiation Oncology . 2018,第3期

机译：与自动分割的18 F-氟脱氧葡萄糖正电子发射断层扫描技术相比，评估头颈放疗中扩散加权成像对肿瘤的界定
4. Evaluation of atlas based auto-segmentation for head and neck target volume delineation in adaptive/replan IMRT. [C] . R Speight, E Karakaya, R Prestwich, ICCR . 2014

机译：基于Atlas的Adap和颈部目标体积描绘的阿特拉斯自动分割。
5. A Comparative Study of Novel Deep Learning-Based and Conventional Atlas-Based Automatic Segmentation in Head and Neck Radiotherapy Planning [D] . Asbach, John. 2020

机译：基于深度学习和常规阿特拉斯的头部放射治疗规划中的基于常规地图的比较研究
6. A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy [O] . Jinzhong Yang, Beth M. Beadle, Adam S. Garden, -1

机译：用于头部和颈部放射治疗中自动目标定位的多模式分割框架
7. A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy [O] . Jinzhong Yang, Beth M. Beadle, Adam S. Garden, 2015

机译：头部和颈部放射治疗中自动目标描绘的多模数分割框架

A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy

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