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TMI
2011
108views more  TMI 2011»
8 years 9 months ago
Motion Correction and Attenuation Correction for Respiratory Gated PET Images
Positron emission tomography (PET) is a molecular imaging technique which is now widely established as a powerful tool for diagnosing a variety of cancers. However, PET images are...
Wenjia Bai, Michael Brady
BILDMED
2009
217views Algorithms» more  BILDMED 2009»
8 years 11 months ago
Evaluation Scheme for a Positron Emission Tomography System Used in Monitoring of Radiation Therapy
Abstract. Positron emission tomography (PET) is used for independent monitoring of dose delivery in ion therapy. An in-beam PET scanner registers the annihilation γ-rays following...
Georgy Shakirin, Fine Fiedler, Wolfgang Enghardt
AIME
2009
Springer
8 years 11 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...
ICCS
2009
Springer
9 years 1 hour ago
Parallel MLEM on Multicore Architectures
Abstract. The efficient use of multicore architectures for sparse matrixvector multiplication (SpMV) is currently an open challenge. One algorithm which makes use of SpMV is the ma...
Tilman Küstner, Josef Weidendorfer, Jasmine S...
ICIP
2010
IEEE
9 years 6 days ago
A novel V-line Radon transform and its imaging applications
The Radon transform (RT) on straight lines deals as mathematical foundation for many tomographic modalities (e.g. Xray scanner, Positron Emission Tomography), using only primary r...
Marcela Morvidone, Tuong T. Truong, Mai K. Nguyen,...
EVOW
2010
Springer
9 years 7 days ago
New Genetic Operators in the Fly Algorithm: Application to Medical PET Image Reconstruction
Abstract. This paper presents an evolutionary approach for image reconstruction in positron emission tomography (PET). Our reconstruction method is based on a cooperative coevoluti...
Franck Patrick Vidal, Jean Louchet, Jean-Marie Roc...
TMI
2008
138views more  TMI 2008»
9 years 1 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
TIT
2002
99views more  TIT 2002»
9 years 1 months ago
Poisson intensity estimation for tomographic data using a wavelet shrinkage approach
We consider a two-dimensional problem of positron emission tomography where the random mechanism of the generation of the tomographic data is modeled by Poisson processes. The goa...
L. Cavalier, Ja-Yong Koo
TMI
1998
137views more  TMI 1998»
9 years 1 months ago
Dynamic Imaging and Tracer Kinetic Modeling for Emission Tomography Using Rotating Detectors
— When performing dynamic studies using emission tomography the tracer distribution changes during acquisition of a single set of projections. This is particularly true for some ...
Chi-Hoi Lau, David Dagan Feng, Brian F. Hutton, Da...
TMI
2008
138views more  TMI 2008»
9 years 2 months ago
Accurate Event-Driven Motion Compensation in High-Resolution PET Incorporating Scattered and Random Events
With continuing improvements in spatial resolution of positron emission tomography (PET) scanners, small patient movements during PET imaging become a significant source of resolut...
Arman Rahmim, Katie Dinelle, Ju-Chieh Cheng, Mikha...
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