南開科技大學圖書館 |

Language: 繁體中文

說明(常見問題)

南開科技大學

圖書館首頁

編目中圖書申請

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A wavelet-based approach to three-di...

Graf, Ben David.

A wavelet-based approach to three-dimensional confocal microscopy image reconstruction.

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	A wavelet-based approach to three-dimensional confocal microscopy image reconstruction./
作者:	Graf, Ben David.
面頁冊數:	29 p.
附註:	Source: Masters Abstracts International, Volume: 42-05, page: 1815.
Contained By:	Masters Abstracts International42-05.
標題:	Engineering, Electronics and Electrical. -
電子資源:	Download fulltext (下載全文)
ISBN:	0496238515

A wavelet-based approach to three-dimensional confocal microscopy image reconstruction.
Graf, Ben David.

A wavelet-based approach to three-dimensional confocal microscopy image reconstruction. - 29 p.

Source: Masters Abstracts International, Volume: 42-05, page: 1815.

Thesis (M.S.)--Rice University, 2004.

An algorithm based on the Haar wavelet basis and implementing an expectation maximization-maximum penalized likelihood estimator in 3-D is shown to provide dramatic improvement over traditional stopped-EM algorithms in terms of mean-squared error on simulated data for confocal microscopy systems. Confocal microscopy is one of many modern medical imaging systems changing the landscape of medical research and practice, and the blurred and grainy images produced are much more useful when suitable, accurate reconstruction algorithms are applied. The industry standard, the stopped expectation-maximization algorithm proves unreliable and inadequate when compared to penalized likelihood estimators based on spatially adaptive bases such as wavelets. In addition, processing confocal microscopy images in 3-D, rather than slice-wise in 2-D, takes into account the blurring that occurs between slices as a result of the microscope's point spread function.

ISBN: 0496238515Subjects--Topical Terms:

170927
Engineering, Electronics and Electrical.

A wavelet-based approach to three-dimensional confocal microscopy image reconstruction.
LDR:01845nmm 2200265 4500 001 1000004350
005 20051102155249.5
008 141201s2004 eng d
020 $a 0496238515
035 $a (UnM)AAI1419079
035 $a AAI1419079
040 $a UnM $c UnM{me_controlnum}
100 1 $a Graf, Ben David. $3 1000005714
245 1 2 $a A wavelet-based approach to three-dimensional confocal microscopy image reconstruction.
300 $a 29 p.
500 $a Source: Masters Abstracts International, Volume: 42-05, page: 1815.
500 $a Adviser: Don H. Johnson.
502 $a Thesis (M.S.)--Rice University, 2004.
520 $a An algorithm based on the Haar wavelet basis and implementing an expectation maximization-maximum penalized likelihood estimator in 3-D is shown to provide dramatic improvement over traditional stopped-EM algorithms in terms of mean-squared error on simulated data for confocal microscopy systems. Confocal microscopy is one of many modern medical imaging systems changing the landscape of medical research and practice, and the blurred and grainy images produced are much more useful when suitable, accurate reconstruction algorithms are applied. The industry standard, the stopped expectation-maximization algorithm proves unreliable and inadequate when compared to penalized likelihood estimators based on spatially adaptive bases such as wavelets. In addition, processing confocal microscopy images in 3-D, rather than slice-wise in 2-D, takes into account the blurring that occurs between slices as a result of the microscope's point spread function.
590 $a School code: 0187.
650 4 $a Engineering, Electronics and Electrical. $3 170927
690 $a 0544
710 2 0 $a Rice University. $3 1000005713
773 0 $t Masters Abstracts International $g 42-05.
790 1 0 $a Johnson, Don H., $e advisor
790 $a 0187
791 $a M.S.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1419079 $z Download fulltext (下載全文)