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解剖学信息学:千禧一代对新前沿领域的看法。

Anatomical informatics: Millennial perspectives on a newer frontier.

作者信息

Trelease Robert B

机构信息

Division of Integrative Anatomy, Department of Pathology and Laboratory Medicine, UCLA School of Medicine, Los Angeles, CA 90095, USA.

出版信息

Anat Rec. 2002 Oct 15;269(5):224-35. doi: 10.1002/ar.10177.

Abstract

One of the most ancient of sciences, anatomy has evolved over many centuries. Its methods have progressively encompassed dissection instruments, manual illustration, stains, microscopes, cameras and photography, and digital imaging systems. Like many other more modern scientific disciplines in the late 20th century, anatomy has also benefited from the revolutionary development of digital computers and their automated information management and analytical capabilities. By using newer methods of computer and information sciences, anatomists have made outstanding contributions to science, medicine, and education. In that regard, there is a strong rationale for recognizing anatomical informatics as a proper subdiscipline of anatomy. A high-level survey of the field reveals important anatomical applications of computer sciences methods in imaging, image processing and visualization, virtual reality, modeling and simulation, structural database processing, networking, and artificial intelligence. Within this framework, computational anatomy is a developing field focusing on data-driven mathematical models of bodily structures. Mastering such computer sciences and informatics methods is crucial for new anatomists, who will shape the future in research, clinical knowledge, and teaching.

摘要

解剖学是最古老的学科之一,历经了许多世纪的发展。其方法逐渐涵盖了解剖器械、手工绘图、染色、显微镜、相机与摄影以及数字成像系统。与20世纪后期许多其他更现代的科学学科一样,解剖学也受益于数字计算机及其自动化信息管理与分析能力的革命性发展。通过运用计算机与信息科学的更新方法,解剖学家们为科学、医学和教育做出了杰出贡献。在这方面,将解剖信息学视为解剖学的一个恰当子学科有充分的理由。对该领域的高层次审视揭示了计算机科学方法在成像、图像处理与可视化、虚拟现实、建模与模拟、结构数据库处理、网络以及人工智能等方面的重要解剖学应用。在此框架内,计算解剖学是一个不断发展的领域,专注于身体结构的数据驱动数学模型。掌握此类计算机科学和信息学方法对于新一代解剖学家至关重要,他们将在研究、临床知识和教学中塑造未来。

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