PET functional volume delineation: a robustness and repeatability study

[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.