Can interior tomography outperform lambda tomography?

Proceedings of the National Academy of Sciences of the United States of America

Volumn 107, Issue 22, 2010, Pages

  Wang, Ge ^a   Yu, Hengyong ^a  

^a Medical Center Boulevard   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ASSISTED TOMOGRAPHY; INTERIOR TOMOGRAPHY; INTERMETHOD COMPARISON; LAMBDA TOMOGRAPHY; LETTER; PRIORITY JOURNAL; TOMOGRAPHY;

ALGORITHMS; ANIMALS; IMAGING, THREE-DIMENSIONAL; LUNG; PHANTOMS, IMAGING; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SHEEP; TOBACCO MOSAIC VIRUS; TOMOGRAPHY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77953460171     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1002473107     Document Type: Letter

References (5)

1. Natterer F (2001) The Mathematics of Computerized Tomography. Classics in Applied Mathematics (Society for Industrial and Applied Mathematics, Philadelphia).
2. Quinto ET, Skoglund U, Öktem O (2009) Electron lambda-tomography. Proc Natl Acad Sci USA 106:21842-21847.
3. Ye Y, Yu H, Wei Y, Wang G (2007) A general local reconstruction approach based on a truncated Hilbert transform. Int J Biomed Imaging 2007, 10.1155/2007/63634.
4. Kudo H, Courdurier M, Noo F, Defrise M (2008) Tiny a priori knowledge solves the interior problem in computed tomography. Phys Med Biol 53:2207-2231.
5. Yang J, Yu H, Jiang M, Wang G (2010) High order total variation minimization for interior tomography. Inverse Probl, 10.1088/0266-5611/26/3/ 035013.