語系:
繁體中文
English
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
Reconstruction algorithms for multis...
~
Chen, Ke.
FindBook
Google Book
Amazon
博客來
Reconstruction algorithms for multispectral diffraction imaging.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Reconstruction algorithms for multispectral diffraction imaging./
作者:
Chen, Ke.
面頁冊數:
226 p.
附註:
Source: Dissertation Abstracts International, Volume: 75-09(E), Section: B.
Contained By:
Dissertation Abstracts International75-09B(E).
標題:
Engineering, Electronics and Electrical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3581012
ISBN:
9781321079722
Reconstruction algorithms for multispectral diffraction imaging.
Chen, Ke.
Reconstruction algorithms for multispectral diffraction imaging.
- 226 p.
Source: Dissertation Abstracts International, Volume: 75-09(E), Section: B.
Thesis (Ph.D.)--Boston University, 2014.
In conventional Computed Tomography (CT) systems, a single X-ray source spectrum is used to radiate an object and the total transmitted intensity is measured to construct the spatial linear attenuation coefficient (LAC) distribution. Such scalar information is adequate for visualization of interior physical structures, but additional dimensions would be useful to characterize the nature of the structures. By imaging using broadband radiation and collecting energy-sensitive measurement information, one can generate images of additional energy-dependent properties that can be used to characterize the nature of specific areas in the object of interest.
ISBN: 9781321079722Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
Reconstruction algorithms for multispectral diffraction imaging.
LDR
:03325nmm a2200325 4500
001
2055598
005
20150217125016.5
008
170521s2014 ||||||||||||||||| ||eng d
020
$a
9781321079722
035
$a
(MiAaPQ)AAI3581012
035
$a
AAI3581012
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Chen, Ke.
$3
893256
245
1 0
$a
Reconstruction algorithms for multispectral diffraction imaging.
300
$a
226 p.
500
$a
Source: Dissertation Abstracts International, Volume: 75-09(E), Section: B.
500
$a
Adviser: David A. Castanon.
502
$a
Thesis (Ph.D.)--Boston University, 2014.
520
$a
In conventional Computed Tomography (CT) systems, a single X-ray source spectrum is used to radiate an object and the total transmitted intensity is measured to construct the spatial linear attenuation coefficient (LAC) distribution. Such scalar information is adequate for visualization of interior physical structures, but additional dimensions would be useful to characterize the nature of the structures. By imaging using broadband radiation and collecting energy-sensitive measurement information, one can generate images of additional energy-dependent properties that can be used to characterize the nature of specific areas in the object of interest.
520
$a
In this thesis, we explore novel imaging modalities that use broadband sources and energy-sensitive detection to generate images of energy-dependent properties of a region, with the objective of providing high quality information for material component identification. We explore two classes of imaging problems: 1) excitation using broad spectrum sub-millimeter radiation in the Terahertz regime and measurement of the diffracted Terahertz (THz) field to construct the spatial distribution of complex refractive index at multiple frequencies; 2) excitation using broad spectrum X-ray sources and measurement of coherent scatter radiation to image the spatial distribution of coherent-scatter form factors.
520
$a
For these modalities, we extend approaches developed for multimodal imaging and propose new reconstruction algorithms that impose regularization structure such as common object boundaries across reconstructed regions at different frequencies. We also explore reconstruction techniques that incorporate prior knowledge in the form of spectral parametrization, sparse representations over redundant dictionaries and explore the advantage and disadvantages of these techniques in terms of image quality and potential for accurate material characterization.
520
$a
We use the proposed reconstruction techniques to explore alternative architectures with reduced scanning time and increased signal-to-noise ratio, including THz diffraction tomography, limited angle X-ray diffraction tomography and the use of coded aperture masks. Numerical experiments and Monte Carlo simulations were conducted to compare performances of the developed methods, and validate the studied architectures as viable options for imaging of energy-dependent properties.
590
$a
School code: 0017.
650
4
$a
Engineering, Electronics and Electrical.
$3
626636
650
4
$a
Applied Mathematics.
$3
1669109
650
4
$a
Computer Science.
$3
626642
690
$a
0544
690
$a
0364
690
$a
0984
710
2
$a
Boston University.
$3
1017454
773
0
$t
Dissertation Abstracts International
$g
75-09B(E).
790
$a
0017
791
$a
Ph.D.
792
$a
2014
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3581012
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
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
W9288077
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入