Region of Interest Reconstruction in X-Ray Fluorescence Computed Tomography for Negligible Attenuation

被引:5
作者
La Riviere, Patrick [1 ]
Vargas, Phillip [1 ]
Xia, Dan [1 ]
Pan, Xiaochuan [1 ]
机构
[1] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA
基金
美国国家科学基金会;
关键词
Image reconstruction; region-of-interest reconstruction; X-ray fluorescence computed tomography; IMAGE-RECONSTRUCTION; MICROSCOPY; BIOLOGY;
D O I
10.1109/TNS.2009.2031177
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
X-ray fluorescence computed tomography (XFCT) is a synchrotron-based imaging modality employed for mapping the distribution of elements within slices or volumes of intact specimens. A pencil beam of external radiation is used to stimulate emission of characteristic X-rays from within a sample, which is scanned and rotated through the pencil beam in a first-generation tomographic geometry. One limitation of XFCT is the long image acquisition time required to acquire a complete set of line integrals one-by-one. Typically, even if only a portion of a slice through the object is of interest, measurement lines are acquired spanning the entire object at every projection view over 180 degrees to avoid reconstructing images with so-called truncation artifacts. In this paper, we show that when attenuation is negligible, recent developments in tomographic reconstruction theory can be used to reduce the scanning effort required to reconstruct regions of interest within the slice. The new theory provides explicit guidance as to which line integrals must be measured for a given ROI and also provides a backprojection-filtration reconstruction algorithm that averts the truncation artifacts that typically plague filtered backprojection reconstructions from truncated data. This is demonstrated through simulation studies and with real synchrotron-based XFCT data.
引用
收藏
页码:234 / 241
页数:8
相关论文
共 24 条
[1]   FLUORESCENCE TOMOGRAPHY USING SYNCHROTRON RADIATION AT THE NSLS [J].
BOISSEAU, P ;
GRODZINS, L .
HYPERFINE INTERACTIONS, 1987, 33 (1-4) :283-292
[2]   Quantitative imaging of cell-permeable magnetic resonance contrast agents using x-ray fluorescence [J].
Endres, Paul J. ;
MacRenaris, Keith W. ;
Vogt, Stefan ;
Allen, Matthew J. ;
Meade, Thomas J. .
MOLECULAR IMAGING, 2006, 5 (04) :485-497
[3]   Biological applications of X-ray fluorescence microscopy: exploring the subcellular topography and speciation of transition metals [J].
Fahrni, Christoph J. .
CURRENT OPINION IN CHEMICAL BIOLOGY, 2007, 11 (02) :121-127
[4]   X-ray fluorescence microscopy reveals large-scale relocalization and extracellular translocation of cellular copper during angiogenesis [J].
Finney, Lydia ;
Mandava, Suneeta ;
Ursos, Lyann ;
Zhang, Wen ;
Rodi, Diane ;
Vogt, Stefan ;
Legnini, Daniel ;
Maser, Jorg ;
Ikpatt, Francis ;
Olopade, Olufunmilayo I. ;
Glesne, David .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (07) :2247-2252
[5]   Internal elemental microanalysis combining x-ray fluorescence, Compton and transmission tomography [J].
Golosio, B ;
Simionovici, A ;
Somogyi, A ;
Lemelle, L ;
Chukalina, M ;
Brunetti, A .
JOURNAL OF APPLIED PHYSICS, 2003, 94 (01) :145-156
[6]   FLUORESCENT COMPUTER-TOMOGRAPHY - A MODEL FOR CORRECTION OF X-RAY ABSORPTION [J].
HOGAN, JP ;
GONSALVES, RA ;
KRIEGER, AS .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1991, 38 (06) :1721-1727
[7]  
Kak A.C. Slaney M., 1999, PRINCIPLES COMPUTERI
[8]  
La Riviere P.J., 2008, P SPIE, V7078
[9]   Penalized-likelihood image reconstruction for x-ray fluorescence computed tomography [J].
La Riviere, Patrick J. ;
Billmire, David ;
Vargas, Phillip ;
Rivers, Mark ;
Sutton, Stephen R. .
OPTICAL ENGINEERING, 2006, 45 (07)
[10]   Monotonic penalized-likelihood image reconstruction for X-ray fluorescence computed tomography [J].
La Riviere, Patrick J. ;
Vargas, Phillip A. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2006, 25 (09) :1117-1129