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Deformable registration techniques f...

Abidi, Ali Imam.

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Deformable registration techniques for thoracic CT images = an insight into medical image registration /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deformable registration techniques for thoracic CT images/ by Ali Imam Abidi, S. K. Singh.
Reminder of title:	an insight into medical image registration /
Author:	Abidi, Ali Imam.
other author:	Singh, S. K.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	vii, 135 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Introduction -- Chapter 2. Theoretical Background -- Chapter 3. A Moving Least Square Based Framework for Thoracic CT Image Registration -- Chapter 4. A Path Tracing and Deformity Estimation Methodology for Registration of Thoracic CT Image Sequences -- Chapter 5. Deformable Thoracic CT Images Sequence Registration using Strain Energy Minimization -- Chapter 6. Conclusion & Future Work.
Contained By:	Springer eBooks
Subject:	Chest - Imaging -
Online resource:	https://doi.org/10.1007/978-981-10-5837-0
ISBN:	9789811058370

Deformable registration techniques for thoracic CT images = an insight into medical image registration /
Abidi, Ali Imam.

Deformable registration techniques for thoracic CT imagesan insight into medical image registration /[electronic resource] :by Ali Imam Abidi, S. K. Singh. - Singapore :Springer Singapore :2020. - vii, 135 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Theoretical Background -- Chapter 3. A Moving Least Square Based Framework for Thoracic CT Image Registration -- Chapter 4. A Path Tracing and Deformity Estimation Methodology for Registration of Thoracic CT Image Sequences -- Chapter 5. Deformable Thoracic CT Images Sequence Registration using Strain Energy Minimization -- Chapter 6. Conclusion & Future Work.

This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance the field of computer vision and help improve existing methods. The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people.

ISBN: 9789811058370

Standard No.: 10.1007/978-981-10-5837-0doiSubjects--Topical Terms:

3524306
Chest
--Imaging

LC Class. No.: RC941 / .A253 2020

Dewey Class. No.: 617.540757

Deformable registration techniques for thoracic CT images = an insight into medical image registration /
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505 0 $a Chapter 1. Introduction -- Chapter 2. Theoretical Background -- Chapter 3. A Moving Least Square Based Framework for Thoracic CT Image Registration -- Chapter 4. A Path Tracing and Deformity Estimation Methodology for Registration of Thoracic CT Image Sequences -- Chapter 5. Deformable Thoracic CT Images Sequence Registration using Strain Energy Minimization -- Chapter 6. Conclusion & Future Work.
520 $a This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance the field of computer vision and help improve existing methods. The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people.
650 0 $a Chest $x Imaging $x Data processing. $3 3524306
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650 2 4 $a Imaging / Radiology. $3 891022
650 2 4 $a Computer Appl. in Life Sciences. $3 892390
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