Level Set Method in Medical Imaging Segmentation
暫譯: 醫學影像分割中的水平集方法
El-Baz, Ayman, Suri, Jasjit S.
- 出版商: CRC
- 出版日期: 2019-07-12
- 售價: $9,380
- 貴賓價: 9.5 折 $8,911
- 語言: 英文
- 頁數: 366
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 113855345X
- ISBN-13: 9781138553453
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相關主題
商品描述
Level set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and optimality is defined based on desired imaging properties. This often includes a detection step to extract specific objects via segmentation. This allows for the segmentation and analysis problem to be formulated and solved in a principled way based on well-established mathematical theories. Level set method is a great tool for modeling time varying medical images and enhancement of numerical computations.
商品描述(中文翻譯)
水平集方法是一種數值技術，提供了強大的工具來理解、分析和計算各種環境中的介面運動。在醫學影像分析和分割中使用時，該函數為每個像素或體素分配一個標籤，並根據所需的影像特性定義最佳性。這通常包括一個檢測步驟，以通過分割提取特定物體。這使得分割和分析問題能夠根據成熟的數學理論以原則化的方式進行公式化和求解。水平集方法是建模隨時間變化的醫學影像和增強數值計算的優秀工具。
作者簡介
Ayman El-Baz is a University Scholar and Chair, Bioengineering Department at the University of Louisville, KY. He has over 15 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnostic systems. He has developed new techniques for the accurate identification of probability mixtures for segmenting multi-modal images, new probability models, and model-based algorithms for recognizing lung nodules and blood vessels in magnetic resonance and computer tomography imaging systems, as well as new registration techniques based on multiple second-order signal statistics, all of which have been reported at multiple international conferences and journal articles. His work related to novel image analysis techniques for autism, dyslexia, and lung cancer has earned multiple awards including the Walter H. Coulter Foundation Early Career in Biomedical Engineering and a Research Scholar Grant from the American Cancer Society. He has authored or coauthored more than 300 technical articles (87 journals, 9 books, 39 book chapters, 144 refereed-conference papers, 74 abstracts published in proceedings and 12 US patents).
Jasjit S. Suri is Chairman of Global Biomedical Technologies, Inc. Roseville, CA. He has spent over 30 years in the fields of biomedical engineering/sciences, software and hardware engineering and its management. He has developed products and worked extensively in the areas of breast, mammography, orthopedics (spine), neurology (brain), angiography, urology and image guided surgery. Dr. Suri has over 100 US/European Patents, 20 Trademarks, 35 books and over 550 peer reviewed articles. He is a Fellow of AIMBE (American Institute of Medical and Biological Engineering).
作者簡介(中文翻譯)
Ayman El-Baz 是肯塔基州路易斯維爾大學生物工程系的學者及系主任。他在生物影像建模和非侵入式電腦輔助診斷系統領域擁有超過 15 年的實務經驗。他開發了新技術，用於準確識別概率混合以分割多模態影像，新的概率模型，以及基於模型的算法，用於識別磁共振和電腦斷層影像系統中的肺結節和血管，以及基於多個二階信號統計的新註冊技術，這些成果已在多個國際會議和期刊文章中報導。他在自閉症、閱讀障礙和肺癌的新影像分析技術方面的工作獲得了多項獎項，包括沃爾特·H·庫爾特基金會生物醫學工程早期職業獎和美國癌症協會的研究學者獎助金。他已撰寫或共同撰寫超過 300 篇技術文章（87 篇期刊、9 本書、39 篇書章、144 篇經審稿的會議論文、74 篇發表於會議紀錄的摘要和 12 項美國專利）。
Jasjit S. Suri 是位於加州羅斯維爾的全球生物醫學技術公司（Global Biomedical Technologies, Inc.）的董事長。他在生物醫學工程/科學、軟體和硬體工程及其管理領域擁有超過 30 年的經驗。他開發了產品並在乳腺、乳房攝影、骨科（脊椎）、神經學（大腦）、血管造影、泌尿學和影像引導手術等領域廣泛工作。Suri 博士擁有超過 100 項美國/歐洲專利、20 項商標、35 本書和超過 550 篇經審稿的文章。他是美國醫療與生物工程學會（AIMBE）的會士。
