Titlebook: Image-Based Computer-Assisted Radiation Therapy; Hidetaka Arimura Book 2017 Springer Nature Singapore Pte Ltd. 2017 Computational anatomy.

MASS

書目名稱Image-Based Computer-Assisted Radiation Therapy影響因子(影響力)




書目名稱Image-Based Computer-Assisted Radiation Therapy影響因子(影響力)學(xué)科排名




書目名稱Image-Based Computer-Assisted Radiation Therapy網(wǎng)絡(luò)公開度




書目名稱Image-Based Computer-Assisted Radiation Therapy網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Image-Based Computer-Assisted Radiation Therapy被引頻次




書目名稱Image-Based Computer-Assisted Radiation Therapy被引頻次學(xué)科排名




書目名稱Image-Based Computer-Assisted Radiation Therapy年度引用




書目名稱Image-Based Computer-Assisted Radiation Therapy年度引用學(xué)科排名




書目名稱Image-Based Computer-Assisted Radiation Therapy讀者反饋




書目名稱Image-Based Computer-Assisted Radiation Therapy讀者反饋學(xué)科排名

芳香一點

derstanding of technical advancements and research findings .This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and res

領(lǐng)巾

Computer-Assisted Target Volume Determination the CTV plus CTV-to-PTV margin including the internal margin (IM) and the setup margin (SM). This chapter introduces the computational segmentation approaches for GTV and computational determination of the CTV-to-PTV margin.

舊石器

協(xié)議

Computer-Aided Detection and Differentiation of Breast Cancer on Mammogramsrformed by a radiologist who considers the computer output as a second opinion. The purpose of CAD is to improve the diagnostic accuracy and consistency of image interpretation by radiologists. In this chapter, we provide a brief summary of some works, development examples, and potential usefulness of CAD in clinical practice.

GRACE

Computer-Assisted Treatment Planning Approaches for SBRTethod for beam arrangements that was designed to assist treatment planners. The methods introduced herein could be employed as computer-aided tools that assist treatment planners. The quality of radiotherapy could thus be normalized across treatment planners with different levels of experience in SBRT.

DEFT

X-Ray Image-Based Patient Positioninge treatment verification will be given from the viewpoint of dose reconstruction and in-treatment X-ray imaging. In the last of this chapter, the development of a quality assurance/quality control program in IGRT system will also be described.

FLORA

Surface-Imaging-Based Patient Positioning in Radiation Therapyddition, an iterative closest point (ICP) registration algorithm, which is a basic technique for estimating positioning errors, is explained. We hope that the topics covered in this chapter will be assistive in understanding the current applications in the field and will create launching points for the development of novel solutions.

泥瓦匠

Tumor Tracking Approachlso used as a surrogate marker because it is easily detectable in the fluoroscopic image allowing the continuous monitoring of the tumor. In this chapter, recent techniques will be introduced with their benefits and limitations.

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