Computational anatomical animal models : methodological developments and research applications / Habib Zaidi.

Format:

Book

Author/Creator:

Zaidi, Habib, author.

Contributor:

Institute of Physics (Great Britain), publisher.

Series:

IOP (Series). Release 6.

IOP expanding physics.

IPEM-IOP series in physics and engineering in medicine and biology.

[IOP release 6]

IOP expanding physics, 2053-2563

IPEM-IOP series in physics and engineering in medicine and biology

Language:

English

Subjects (All):

Animal models in research--Mathematical models.

Animal models in research.

Disease Models, Animal.

Models, Theoretical.

Medical Subjects:

Disease Models, Animal.

Models, Theoretical.

Physical Description:

1 online resource (various pagings) : illustrations (chiefly color).

Edition:

1st ed.

Other Title:

Computational Anatomical Animal Models

Place of Publication:

Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2018]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Biography/History:

Professor Habib Zaidi is chief physicist and head of the PET Instrumentation & Neuroimaging Laboratory at Geneva University Hospital and faculty member at the medical school of Geneva University. He is also a professor of medical physics at the University of Groningen, adjunct professor of medical physics and molecular imaging at the University of Southern Denmark and visiting professor at IAS/University Cergy-Pontoise.

Summary:

Computational Anatomical Animal Models: Methodological developments and research applications provides a comprehensive review of the history and technologies used for the development of computational small animal models with a focus on their application in preclinical imaging and experimental radiation therapy, as well as non-ionizing and ionizing radiation dosimetry calculations. It also provides an overview of the overall process involved in the design of these models, including the fundamental elements used for the construction of different types of computational models, the identification of original anatomical data, the simulation tools used for solving various computational problems and the applications of computational animal models in preclinical research. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology.

Contents:

part I. Computational models. 1. Historical development and overview of computational animal models

1.1. Introduction

1.2. Construction of computational models

1.3. Overview of existing computational animal models

1.4. Popular simulation tools for computational models

1.5. Summary

2. Design and construction of computational animal models

2.1. Introduction

2.2. Mathematical phantoms

2.3. Voxel-based phantoms

2.4. BREP phantoms

2.5. Summary and future perspectives

3. Overview of computational mouse models

3.1. Introduction

3.2. Construction of computational mouse models

3.3. History of computational mouse models

3.4. Simulation tools used with the computational mouse models

3.5. Applications of computational mouse models

3.6. Summary

4. Overview of computational rat models

4.1. Introduction

4.2. Overview of existing rat models

4.3. Development and application of HUST computational rat models

4.4. Summary

5. Overview of computational frog models

5.1. Introduction

5.2. History and construction of computational frog models

5.3. Monte Carlo simulations with computational frog models

5.4. Summary

6. Overview of computational canine models

6.1. Introduction

6.2. General steps for developing canine models

6.3. Current status of canine models

6.4. Summary and future perspectives

7. Overview of computational rabbit models

7.1. Introduction

7.2. Construction of rabbit models

7.3. Model refinement

7.4. Examples of electromagnetic and thermal dosimetry

7.5. Summary

8. Overview of other computational animal models

8.1. Introduction

8.2. Computational models of trout

8.3. Computational models of crabs

8.4. Computational models of flatfish

8.5. Computational models of bees

8.6. Computational models of deer

8.7. Computational models of earthworms

8.8. Computational models of ducks

8.9. Computational models of goats

8.10. Computational models of pigs

8.11. Computational models of non-human primates

8.12. Summary

9. Simulation tools used with preclinical computational models

9.1. Introduction

9.2. Tools used for simulation

9.3. The Monte Carlo simulation method

9.4. Monte Carlo packages for preclinical studies

9.5. Comparison of performance of Monte Carlo packages

part II. Applications in preclinical research. 10. Applications of computational animal models in ionizing radiation dosimetry

10.1. Introduction

10.2. Fundamentals of radiation dosimetry

10.3. Applications in ionizing radiation dosimetry

10.4. Discussion

11. Computational animal phantoms for electromagnetic dosimetry

11.1. Introduction

11.2. Minimal requirements for EM dosimetry

11.3. Methods

11.4. Outlook

11.5. Conclusions

12. Applications of computational animal models in imaging physics research

12.1. Introduction

12.2. Computational animal models in imaging physics

12.3. Applications of computational animal models in imaging physics research

12.4. Summary and future directions

13. Applications of computational animal models in radiation therapy research

13.1. Introduction

13.2. Design of digital mouse phantoms

13.3. Monte Carlo simulation platforms

13.4. Simulation of head of accelerators and energy spectra

13.5. Types of absorbed doses calculated in digital mouse models

13.6. Recommendations by collaborative working groups and agencies

13.7. Differences between human organs and digital mouse organs in radiation therapy

13.8. Excerpts of applications in digital mouse radiotherapy/dosimetry

13.9. Conclusions

14. Summary and future outlook

14.1. Summary

14.2. Future outlook

14.3. Acknowledgement.

Notes:

"Version: 20181201"--Title page verso.

Includes bibliographical references.

Title from PDF title page (viewed on January 16, 2019).

Description based on publisher supplied metadata and other sources.

ISBN:

9780750313445

0750313447

OCLC:

1082881975