PET functional volume segmentation: A robustness study

IEEE Nuclear Science Symposium Conference Record

Volumn , Issue , 2008, Pages 4335-4339

  Hatt, M ^a   Bailly, P ^b   Turzo, A ^a   Roux, C ^a,c   Visvikis, D ^a  

^a INSERM   (France)

^b AMIENS UNIVERSITY HOSPITAL   (France)

^c ECOLE DES MINES DE NANTES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACQUISITION PARAMETERS; ADAPTIVE THRESHOLDING; ADAPTIVE THRESHOLDS; AUTOMATIC SEGMENTATIONS; BAYESIAN; BAYESIAN SEGMENTATION; CLINICAL IMAGES; CONTRAST RATIO; FIXED THRESHOLD; FUZZY C MEANS CLUSTERING; LUNG TUMOR; MAXIMUM VALUES; NON-SPHERICAL; PET IMAGES; PET/CT SCANNERS; PHILIPS; RADIOTHERAPY TREATMENT PLANNING; RECONSTRUCTED IMAGE; RECONSTRUCTION ALGORITHMS; SEMI-AUTOMATIC; SIEMENS; SIMULATED IMAGES; STATE-OF-THE-ART ALGORITHMS; TIME OF FLIGHT; VOLUME SEGMENTATION;

BAYESIAN NETWORKS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; MERGERS AND ACQUISITIONS; ONCOLOGY; RESTORATION; SCANNING; TUMORS;

ADAPTIVE ALGORITHMS;

EID: 66249125250     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2008.4774243     Document Type: Conference Paper

References (9)

1. M. Hatt, A. Turzo, C. Roux, D. Visvikis, A fuzzy locally adaptive Bayesian segmentation approach for volume determination in PET, IEEE Transactions on Medical Imaging, in press, 2008.
2. M. Hatt, A. Dekker, D. De Ruysscher, M. Oellers, P. Lambin, C. Roux, D. Visvikis, Accurate functional volume definition in PET for radiotherapy treatment planning, IEEE NSS-MIC conference records, 2008. "
3. H. Caillol, W. Pieczynski, A. Hillon, Estimation of Fuzzy Gaussian Mixture and Unsupervised Statistical Image Segmentation, IEEE Transactions on Image Processing, Vol.6(3), pp. 425-440, 1997. (Pubitemid 127768374)
4. Salzenstein, W. Pieczynski, Parameter Estimation in hidden fuzzy Markov random fields and image segmentation, CVGIP, Vol.59(4), pp. 205-220, 1997. (Pubitemid 127435619)
5. G. Celeux, J. Diebolt, "L'algorithme SEM : un algorithme d' apprentissage probabiliste pour la reconnaissance de melanges de densites", Revue de statistique appliquee, Vol.34(2), pp. 35-52, 1986.
6. N.C. Krak, R. Boellaard et al, Effects of ROJ definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial, Eur. Nucl. Med. Mol. Im., Vol.32, pp. 294-301,2005. (Pubitemid 40562120)
7. J.C. Dunn, A Fuzzy relative of the Jsodata process and its use in detecting compact well-separeted clusters, Cybernet., Vol.31, pp. 3257, 1974.
8. W. Zhu, TJiang, "Automation Segmentation of PET Image for Brain Tumours", IEEE NSS-MIC conference records, Vol.4, pp. 2627-2629, 2003. (Pubitemid 40088777)
9. J.F. Daisne, M. Sibomana, A. Bol, et al, Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms, Radiother. Oncol., Vol.69, 247-250, 2003. (Pubitemid 37485998)