東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Entropy-based image registration.

Sabuncu, Mert Rory.

FindBook

Google Book

Amazon

博客來

Entropy-based image registration.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Entropy-based image registration./
作者:	Sabuncu, Mert Rory.
面頁冊數:	161 p.
附註:	Source: Dissertation Abstracts International, Volume: 67-06, Section: B, page: 3351.
Contained By:	Dissertation Abstracts International67-06B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3223824
ISBN:	9780542747076

Entropy-based image registration.
Sabuncu, Mert Rory.

Entropy-based image registration. - 161 p.

Source: Dissertation Abstracts International, Volume: 67-06, Section: B, page: 3351.

Thesis (Ph.D.)--Princeton University, 2006.

This thesis investigates the employment of different entropic measures, including Renyi entropy, in the context of image registration. Specifically, we focus on the entropy estimation problem for image registration and provide theoretical and experimental comparisons of two important entropy estimators: the plug-in estimator and minimal entropic graphs. We further develop an image registration framework based on the graph-theoretic estimator. Within this framework, we address practical and theoretical issues such as the incorporation of spatial information, the efficient and fast search of the optimum alignment, and the employment of previously aligned image pairs. These analyses yield fast, robust and accurate multi-modal affine registration algorithms applicable to different medical problems. Next, we investigate the nonrigid registration problem and provide a novel fast entropy-based nonrigid registration algorithm. Finally, we discuss a scientific application, the normalization of the human cerebral cortex based on patterns of functional response, and investigate an algorithm that employs a correlation-based entropic measure.

ISBN: 9780542747076Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Entropy-based image registration.
LDR:02034nmm 2200301 4500 001 1832073
005 20070628102656.5
008 130610s2006 eng d
020 $a 9780542747076
035 $a (UnM)AAI3223824
035 $a AAI3223824
040 $a UnM $c UnM
100 1 $a Sabuncu, Mert Rory. $3 1920826
245 1 0 $a Entropy-based image registration.
300 $a 161 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-06, Section: B, page: 3351.
500 $a Adviser: Peter J. Ramadge.
502 $a Thesis (Ph.D.)--Princeton University, 2006.
520 $a This thesis investigates the employment of different entropic measures, including Renyi entropy, in the context of image registration. Specifically, we focus on the entropy estimation problem for image registration and provide theoretical and experimental comparisons of two important entropy estimators: the plug-in estimator and minimal entropic graphs. We further develop an image registration framework based on the graph-theoretic estimator. Within this framework, we address practical and theoretical issues such as the incorporation of spatial information, the efficient and fast search of the optimum alignment, and the employment of previously aligned image pairs. These analyses yield fast, robust and accurate multi-modal affine registration algorithms applicable to different medical problems. Next, we investigate the nonrigid registration problem and provide a novel fast entropy-based nonrigid registration algorithm. Finally, we discuss a scientific application, the normalization of the human cerebral cortex based on patterns of functional response, and investigate an algorithm that employs a correlation-based entropic measure.
590 $a School code: 0181.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Health Sciences, Radiology. $3 1019076
650 4 $a Biophysics, Medical. $3 1017681
650 4 $a Computer Science. $3 626642
690 $a 0544
690 $a 0574
690 $a 0760
690 $a 0984
710 2 0 $a Princeton University. $3 645579
773 0 $t Dissertation Abstracts International $g 67-06B.
790 1 0 $a Ramadge, Peter J., $e advisor
790 $a 0181
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3223824