Computational Anatomy Based on Whole Body Imaging: Basic Principles of Computer-Assisted Diagnosis and Therapy: 1 PDF ebook Free
Computational Anatomy Based on Whole Body Imaging: Basic Principles of Computer-Assisted Diagnosis and Therapy: 1 PDF Download
By Hidefumi Kobatake (Editor), Yoshitaka Masutani (Editor)
- Hardcover:354 pages
- Publisher:Springer; 1st ed. 2017 edition (June 16, 2017)
The origin of research on computational anatomy can be traced back approxi- mately a century. The famous book On Shape and Growth by D’Arcy Wentworth Thompson was published in 1917. Its central theme was to reveal the importance of physical laws and mechanics as the fundamental determinants of the form and structure of living organisms. In Chapter XVII of the book, “The Comparison of Related Forms,” he showed that the differences in forms of related animals could be explained by relatively simple mathematical transformations. Modern computational anatomy is emerging as a discipline focused on the quantitative analysis of variabilities in organ shape and the application of this analysis to computer-aided diagnosis (CAD) and computer-aided surgery. The spectrum of topics in computational anatomy has expanded to encompass all aspects of intelligent segmentation, modeling, recognition and understanding of complex three-dimensional (3D) objects, man–machine interface technologies, and other applications. Reflecting these developments, advanced computational anatomy provides a technical platform for a better understanding of anatomic variability, an aid in the diagnosis of disease, and a means to simulate surgical interventions. October 2003 saw the start of an extensive research project on CAD in med- ical imaging, “Intelligent Assistance in Diagnosis of Multi-Dimensional Medical Images,” in Japan. It was a 4-year research project supported by a Grant-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Culture, Sports, Science and Technology (MEXT). The state-of-the-art CAD system at that time was quite limited in its capabilities. The objective of this research project was to develop a multi-organ, multi-disease CAD system that made full use of human anatomical data and diagnostic knowledge of multiple diseases. The research organization consisted of nine planned research groups and ten research groups selected from publicly offered research plans. Almost all researchers in the area of medical image processing in Japan joined this project. Typical conventional CAD systems adopted two processing steps to detect specific abnormal regions on medical images. The first one is the processing to detect candidates of suspicious regions and the second one is to identify whether they are truly abnormal.