Ai-Driven Medical Image Analysis in Precision Radiation Therapy
暫譯: 精準放射治療中的人工智慧驅動醫學影像分析

Yang, Xiaofeng, Wang, Tonghe

Ai-Driven Medical Image Analysis in Precision Radiation Therapy
  • 出版商: CRC
  • 出版日期: 2026-05-27
  • 售價: $5,890
  • 貴賓價: 9.5 折 $5,595
  • 語言: 英文
  • 頁數: 294
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032716002
  • ISBN-13: 9781032716008
  • 相關分類: 影像辨識 Image-recognition

    • 尚未上市，無法訂購

商品描述

AI-driven Medical Image Analysis in Precision Radiation Therapy provides a comprehensive overview of the latest developments in artificial intelligence for medical imaging, focusing on applications in precision radiation therapy. Written by a team of experts, it offers an accessible perspective on how AI is transforming cancer treatment for a broad audience, from computer science and engineering to the medical sector. The text covers key techniques such as image synthesis, segmentation, and registration, but its primary focus is on practical clinical applications. It showcases recent studies in image-guided and adaptive radiation therapy, real-time tumor motion tracking, and treatment response assessment for both photon and proton therapies. Furthermore, the book addresses the real-world challenges of implementing these AI techniques in a clinical setting, equipping readers with the practical knowledge needed for successful integration. It is an essential guide for students and newcomers, as well as a valuable reference for experienced medical physicists and radiation oncologists.

Key Features:

  • Provides in-depth coverage of cutting-edge AI applications in medical image processing, including image synthesis, segmentation, and registration techniques specifically designed for radiation therapy contexts.
  • Discusses real-world implementations of AI-driven technologies in precision radiation therapy.
  • Addresses the practical challenges of integrating AI systems into clinical workflows.

商品描述(中文翻譯)

《人工智慧驅動的精準放射治療醫學影像分析》提供了有關醫學影像領域中人工智慧最新發展的全面概述，重點關注其在精準放射治療中的應用。這本書由一組專家撰寫，為廣泛的讀者群體提供了可接觸的視角，涵蓋了從計算機科學和工程到醫療領域的內容。文本涵蓋了關鍵技術，如影像合成、分割和配準，但其主要焦點是實際的臨床應用。書中展示了最近在影像引導和自適應放射治療、實時腫瘤運動追蹤以及對光子和質子治療的治療反應評估的研究。此外，本書還探討了在臨床環境中實施這些人工智慧技術的現實挑戰，為讀者提供成功整合所需的實用知識。這是學生和新手的必備指南，也是經驗豐富的醫學物理學家和放射腫瘤科醫生的寶貴參考。

主要特點：


  • 深入探討了醫學影像處理中尖端人工智慧應用，包括專為放射治療環境設計的影像合成、分割和配準技術。

  • 討論了人工智慧驅動技術在精準放射治療中的現實實施。

  • 解決了將人工智慧系統整合到臨床工作流程中的實際挑戰。

作者簡介

Xiaofeng Yang is the Paul W. Doetsch Professor and Vice Chair for Medical Physics Research in the Department of Radiation Oncology at Emory University School of Medicine. He directs the Deep Biomedical Imaging Lab, where he develops innovative AI-enabled analytical and computational methods to advance quantitative imaging in cancer diagnosis and treatment, with the goal of improving the accuracy and precision of cancer radiotherapy. Dr. Yang also holds adjunct faculty appointments in the Medical Physics and Machine Learning programs at the Georgia Institute of Technology, the Department of Biomedical Informatics at Emory University, and the Wallace H. Coulter Department of Biomedical Engineering at Emory University and Georgia Tech. He is a Fellow of SPIE.

Tonghe Wang, PhD, DABR, is an assistant attending physicist in the Department of Medical Physics at the Memorial Sloan Kettering at main campus. Dr. Wang received his BS in physics from Peking University in China in 2013 and PhD in medical physics from Georgia Institute of Technology in 2017, with research experience in iterative CT reconstruction. Dr. Wang completed a medical physics residency at Emory University in 2019 and stayed at Emory as an assistant professor and board-certified medical physicist before joining Memorial Sloan Kettering Cancer Center in 2022. Dr. Wang provide clinical physics services in all aspects of radiation therapy and specialize in brachytherapy and Gamma Knife. Dr. Wang is currently working on a variety of research projects, including image segmentation and image synthesizing. He is interested in improving automation in clinical workflow and enabling advanced treatment strategy.

作者簡介(中文翻譯)

楊小峰是艾默里大學醫學院放射腫瘤學系的保羅·W·杜特教授及醫學物理研究副主任。他負責深度生物醫學影像實驗室，開發創新的人工智慧驅動分析和計算方法，以推進癌症診斷和治療中的定量影像，目標是提高癌症放射治療的準確性和精確性。楊博士同時在喬治亞理工學院的醫學物理和機器學習項目、艾默里大學的生物醫學資訊學系，以及艾默里大學和喬治亞理工學院的華萊士·H·庫爾特生物醫學工程系擔任兼任教職。他是SPIE的會士。

王同和，博士，DABR，是紀念斯隆凱特林癌症中心主校區醫學物理系的助理主治物理師。王博士於2013年在中國北京大學獲得物理學學士學位，並於2017年在喬治亞理工學院獲得醫學物理博士學位，研究經驗包括迭代CT重建。王博士於2019年在艾默里大學完成醫學物理住院醫師訓練，並在艾默里擔任助理教授及通過認證的醫學物理師，直到2022年加入紀念斯隆凱特林癌症中心。王博士提供放射治療各方面的臨床物理服務，專精於近距離治療和伽瑪刀。王博士目前正在進行多項研究項目，包括影像分割和影像合成。他對改善臨床工作流程的自動化和實現先進治療策略感興趣。

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