PET functional volume delineation: a robustness and repeatability study
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Dimitris Visvikis | Mathieu Hatt | Olivier Pradier | Catherine Cheze Le Rest | M. Hatt | D. Visvikis | N. Albarghach | O. Pradier | C. Cheze Le Rest | Nidal Albarghach
[1] Dimitris Visvikis,et al. Accurate automatic delineation of heterogeneous functional volumes in positron emission tomography for oncology applications. , 2010, International journal of radiation oncology, biology, physics.
[2] Anne Bol,et al. A gradient-based method for segmenting FDG-PET images: methodology and validation , 2007, European Journal of Nuclear Medicine and Molecular Imaging.
[3] J. C. Dunn,et al. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .
[4] Adriaan A. Lammertsma,et al. Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial , 2005, European Journal of Nuclear Medicine and Molecular Imaging.
[5] Dimitris Visvikis,et al. Reproducibility of 18F-FDG and 3′-Deoxy-3′-18F-Fluorothymidine PET Tumor Volume Measurements , 2010, The Journal of Nuclear Medicine.
[6] Tianzi Jiang,et al. Automation segmentation of PET image for brain tumors , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).
[7] Habib Zaidi,et al. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET. , 2010, Medical physics.
[8] S M Larson,et al. Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding , 1997, Cancer.
[9] D. Visvikis,et al. The role of PET/CT scanning in radiotherapy planning. , 2006, The British journal of radiology.
[10] G. Celeux,et al. L'algorithme SEM: un algorithme d'apprentissage probabiliste: pour la reconnaissance de mélange de densités , 1986 .
[11] Abbes Amira,et al. Fully automated segmentation of oncological PET volumes using a combined multiscale and statistical model. , 2007, Medical physics.
[12] Zhai Chuan-lin. Radiotherapy of Patients with Non-small Cell Lung Cancer:A Report of 142 Cases , 2010 .
[13] R. Hustinx,et al. The value of positron emission tomography (PET) imaging in disease staging and therapy assessment. , 2002, Annals of oncology : official journal of the European Society for Medical Oncology.
[14] Sasa Mutic,et al. Concurrent multimodality image segmentation by active contours for radiotherapy treatment planning. , 2007, Medical physics.
[15] Sasa Mutic,et al. 18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate? , 2006, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[16] C. Rübe,et al. Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer. , 2005, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[17] Christian Roux,et al. A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET , 2009, IEEE Transactions on Medical Imaging.
[18] Anne Bol,et al. Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[19] Tinsu Pan,et al. PET/CT in radiation oncology. , 2008, Medical physics.
[20] T W Griffin,et al. Imaging of hypoxia in human tumors with [F-18]fluoromisonidazole. , 1992, International journal of radiation oncology, biology, physics.
[21] Carole Lartizien,et al. Incorporating Patient-Specific Variability in the Simulation of Realistic Whole-Body $^{18}{\hbox{F-FDG}}$ Distributions for Oncology Applications , 2009, Proceedings of the IEEE.
[22] Andre Dekker,et al. The integration of PET-CT scans from different hospitals into radiotherapy treatment planning. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[23] G. Lucignani. SUV and segmentation: pressing challenges in tumour assessment and treatment , 2009, European Journal of Nuclear Medicine and Molecular Imaging.