語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Deformable registration techniques f...
~
Abidi, Ali Imam.
Deformable registration techniques for thoracic CT imagesan insight into medical image registration /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Deformable registration techniques for thoracic CT imagesby Ali Imam Abidi, S. K. Singh.
其他題名:
an insight into medical image registration /
作者:
Abidi, Ali Imam.
其他作者:
Singh, S. K.
出版者:
Singapore :Springer Singapore :2020.
面頁冊數:
vii, 135 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
ChestImaging
電子資源:
https://doi.org/10.1007/978-981-10-5837-0
ISBN:
9789811058370$q(electronic bk.)
Deformable registration techniques for thoracic CT imagesan insight into medical image registration /
Abidi, Ali Imam.
Deformable registration techniques for thoracic CT images
an insight into medical image registration /[electronic resource] :by Ali Imam Abidi, S. K. Singh. - Singapore :Springer Singapore :2020. - vii, 135 p. :ill., digital ;24 cm.
Chapter 1. Introduction -- Chapter 2. Theoretical Background -- Chapter 3. A Moving Least Square Based Framework for Thoracic CT Image Registration -- Chapter 4. A Path Tracing and Deformity Estimation Methodology for Registration of Thoracic CT Image Sequences -- Chapter 5. Deformable Thoracic CT Images Sequence Registration using Strain Energy Minimization -- Chapter 6. Conclusion & Future Work.
This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance the field of computer vision and help improve existing methods. The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people.
ISBN: 9789811058370$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 /
LDR
:02284nmm a2200337 a 4500
001
579514
003
DE-He213
005
20200529123900.0
006
m
007
cr
008
201229s2020
020
$a
9789811058370$q(electronic bk.)
020
$a
9789811058363$q(paper)
024
7
$a
10.1007/978-981-10-5837-0
$2
doi
035
$a
978-981-10-5837-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RC941
$b
.A253 2020
072
7
$a
UYT
$2
bicssc
072
7
$a
COM012000
$2
bisacsh
072
7
$a
UYT
$2
thema
072
7
$a
UYQV
$2
thema
082
0 4
$a
617.540757
$2
23
090
$a
RC941
$b
.A148 2020
100
1
$a
Abidi, Ali Imam.
$3
868898
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.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
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
650
2 4
$a
Imaging / Radiology.
$3
274007
650
2 4
$a
Computer Appl. in Life Sciences.
$3
274180
650
2 4
$a
Health Informatics.
$3
274212
650
2 4
$a
Computer Graphics.
$3
274515
700
1
$a
Singh, S. K.
$3
823115
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
https://doi.org/10.1007/978-981-10-5837-0
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000184100
電子館藏
1圖書
電子書
EB RC941 .A148 2020 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-981-10-5837-0
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入