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

An adaptive control grid interpolati...

Frakes, David Harold.

FindBook

Google Book

Amazon

博客來

An adaptive control grid interpolation technique for the three-dimensional reconstruction of MRI data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An adaptive control grid interpolation technique for the three-dimensional reconstruction of MRI data./
作者:	Frakes, David Harold.
面頁冊數:	328 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-06, Section: B, page: 2775.
Contained By:	Dissertation Abstracts International64-06B.
標題:	Engineering, Biomedical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3095719
ISBN:	0496433440

An adaptive control grid interpolation technique for the three-dimensional reconstruction of MRI data.
Frakes, David Harold.

An adaptive control grid interpolation technique for the three-dimensional reconstruction of MRI data. - 328 p.

Source: Dissertation Abstracts International, Volume: 64-06, Section: B, page: 2775.

Thesis (Ph.D.)--Georgia Institute of Technology, 2003.

The accurate representation of two-dimensional magnetic resonance (MR) images as three-dimensional information is an important issue for medial applications aimed at visualization, analysis, and diagnosis. Computer-based reconstruction methods applied after data acquisition have the potential to provide such three-dimensional information with high quality and at little or no additional cost. Toward this end a novel technique for the three-dimensional reconstruction of MR data has been developed.

ISBN: 0496433440Subjects--Topical Terms:

1017684
Engineering, Biomedical.

An adaptive control grid interpolation technique for the three-dimensional reconstruction of MRI data.
LDR:02357nmm 2200301 4500 001 1837812
005 20050506073814.5
008 130614s2003 eng d
020 $a 0496433440
035 $a (UnM)AAI3095719
035 $a AAI3095719
040 $a UnM $c UnM
100 1 $a Frakes, David Harold. $3 1926243
245 1 3 $a An adaptive control grid interpolation technique for the three-dimensional reconstruction of MRI data.
300 $a 328 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-06, Section: B, page: 2775.
500 $a Director: Ajit P. Yoganathan.
502 $a Thesis (Ph.D.)--Georgia Institute of Technology, 2003.
520 $a The accurate representation of two-dimensional magnetic resonance (MR) images as three-dimensional information is an important issue for medial applications aimed at visualization, analysis, and diagnosis. Computer-based reconstruction methods applied after data acquisition have the potential to provide such three-dimensional information with high quality and at little or no additional cost. Toward this end a novel technique for the three-dimensional reconstruction of MR data has been developed.
520 $a The new methodology presented in this thesis approaches the reconstruction problem from a different perspective, using motion estimation to approximate data not captured by scanning. This is accomplished with adaptive control grid interpolation (ACGI), a hybrid motion estimation scheme that displays advantageous characteristics of both block matching and optical flow. The mechanics of this technique make it well suited for the reconstruction of both structural and velocity data.
520 $a ACGI reconstruction is presented here in the context of palliative surgical procedures performed on children with single ventricle congenital heart defects. Specific ACGI implementations designed to facilitate visualization and power loss estimation are developed as components of a comprehensive surgical planning and evaluation tool. Additional applications for tracking and video enhancement are also explored.
590 $a School code: 0078.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Health Sciences, Radiology. $3 1019076
690 $a 0541
690 $a 0574
710 2 0 $a Georgia Institute of Technology. $3 696730
773 0 $t Dissertation Abstracts International $g 64-06B.
790 1 0 $a Yoganathan, Ajit P., $e advisor
790 $a 0078
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3095719