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Deformable registration techniques f...

Abidi, Ali Imam.

Deformable registration techniques for thoracic CT imagesan insight into medical image registration /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deformable registration techniques for thoracic CT imagesby 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.
Contained By:	Springer eBooks
Subject:	ChestImaging
Online resource:	https://doi.org/10.1007/978-981-10-5837-0
ISBN:	9789811058370$q(electronic bk.)

Deformable registration techniques for thoracic CT imagesan 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$q(electronic bk.)

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

868899
Chest
--Imaging

LC Class. No.: RC941 / .A253 2020

Dewey Class. No.: 617.540757

Deformable registration techniques for thoracic CT imagesan insight into medical image registration /
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245 1 0 $a Deformable registration techniques for thoracic CT images $h [electronic resource] : $b an insight into medical image registration / $c by Ali Imam Abidi, S. K. Singh.
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300 $a vii, 135 p. : $b ill., digital ; $c 24 cm.
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 868899
650 0 $a Image registration. $3 559646
650 1 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Pattern Recognition. $3 273706
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650 2 4 $a Health Informatics. $3 274212
650 2 4 $a Computer Graphics. $3 274515
700 1 $a Singh, S. K. $3 823115
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856 4 0 $u https://doi.org/10.1007/978-981-10-5837-0
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