Numerical Efficiency Calibration Of In Vivo Measurement Systems Monte Carlo Simulations Of In Vivo Measurement Scenarios For The Detection Of Incorporated Radionuclides Including Validation Analysis Of Efficiency Sensitive Parameters And Customized Anthropomorphic Voxel Models
Download Numerical Efficiency Calibration Of In Vivo Measurement Systems Monte Carlo Simulations Of In Vivo Measurement Scenarios For The Detection Of Incorporated Radionuclides Including Validation Analysis Of Efficiency Sensitive Parameters And Customized Anthropomorphic Voxel Models PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Numerical Efficiency Calibration Of In Vivo Measurement Systems Monte Carlo Simulations Of In Vivo Measurement Scenarios For The Detection Of Incorporated Radionuclides Including Validation Analysis Of Efficiency Sensitive Parameters And Customized Anthropomorphic Voxel Models book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Numerical Efficiency Calibration of in Vivo Measurement Systems
Author: Lars Hegenbart
language: en
Publisher: KIT Scientific Publishing
Release Date: 2014-08-14
Monte Carlo radiation transport codes were used with virtual models of in vivo measurement equipment. Software was coded to handle memory intensive anthropomorphic voxel models for simulation of measurement scenarios. Tools, methods and models have been validated. Various parameters have been investigated for their sensitivity. Methods based on image registration techniques have been developed to transform existing human models to match with an individual test person.
Numerical Efficiency Calibration of in Vivo Measurement Systems : Monte Carlo Simulations of in Vivo Measurement Scenarios for the Detection of Incorporated Radionuclides, Including Validation, Analysis of Efficiency-sensitive Parameters and Customized Anthropomorphic Voxel Models
Monte Carlo radiation transport codes were used with virtual models of in vivo measurement equipment. Software was coded to handle memory intensive anthropomorphic voxel models for simulation of measurement scenarios. Tools, methods and models have been validated. Various parameters have been investigated for their sensitivity. Methods based on image registration techniques have been developed to transform existing human models to match with an individual test person.
The Handbook of Medical Image Perception and Techniques
Author: Ehsan Samei
language: en
Publisher: Cambridge University Press
Release Date: 2018-12-13
A state-of-the-art review of key topics in medical image perception science and practice, including associated techniques, illustrations and examples. This second edition contains extensive updates and substantial new content. Written by key figures in the field, it covers a wide range of topics including signal detection, image interpretation and advanced image analysis (e.g. deep learning) techniques for interpretive and computational perception. It provides an overview of the key techniques of medical image perception and observer performance research, and includes examples and applications across clinical disciplines including radiology, pathology and oncology. A final chapter discusses the future prospects of medical image perception and assesses upcoming challenges and possibilities, enabling readers to identify new areas for research. Written for both newcomers to the field and experienced researchers and clinicians, this book provides a comprehensive reference for those interested in medical image perception as means to advance knowledge and improve human health.