Literature DB >> 14644483

Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms.

Jean-François Daisne1, Mérence Sibomana, Anne Bol, Thomas Doumont, Max Lonneux, Vincent Grégoire.   

Abstract

A method for automatic volume segmentation of functional imaging based on a relationship between source-to-background ratio and the iso-activity level to be used is described. Such method, which has been established with radioactive spheres in a phantom, is independent of the a priori knowledge of the lesion of interest and is valid for small (>2 ml) and/or poorly contrasted (S/B>1.5) lesions. Accuracy varies slightly with the image reconstruction algorithm used.

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Year:  2003        PMID: 14644483     DOI: 10.1016/s0167-8140(03)00270-6

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  84 in total

1.  Comparative study with new accuracy metrics for target volume contouring in PET image guided radiation therapy.

Authors:  Tony Shepherd; Mika Teras; Reinhard R Beichel; Ronald Boellaard; Michel Bruynooghe; Volker Dicken; Mark J Gooding; Peter J Julyan; John A Lee; Sébastien Lefèvre; Michael Mix; Valery Naranjo; Xiaodong Wu; Habib Zaidi; Ziming Zeng; Heikki Minn
Journal:  IEEE Trans Med Imaging       Date:  2012-06-04       Impact factor: 10.048

Review 2.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

3.  The impact of 3D volume of interest definition on accuracy and precision of activity estimation in quantitative SPECT and planar processing methods.

Authors:  Bin He; Eric C Frey
Journal:  Phys Med Biol       Date:  2010-05-28       Impact factor: 3.609

4.  Predictive value of pre-therapy (18)F-FDG PET/CT for the outcome of (18)F-FDG PET-guided radiotherapy in patients with head and neck cancer.

Authors:  M Picchio; M Kirienko; P Mapelli; I Dell'Oca; E Villa; F Gallivanone; L Gianolli; C Messa; I Castiglioni
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-08-29       Impact factor: 9.236

5.  Delineation of FDG-PET tumors from heterogeneous background using spectral clustering.

Authors:  Fei Yang; Perry W Grigsby
Journal:  Eur J Radiol       Date:  2012-01-23       Impact factor: 3.528

6.  Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma.

Authors:  Habib Zaidi; Mehrsima Abdoli; Carolina Llina Fuentes; Issam M El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-05       Impact factor: 9.236

7.  From anatomical to biological target volumes: the role of PET in radiation treatment planning.

Authors:  D A X Schinagl; J H A M Kaanders; W J G Oyen
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

8.  A gradient-based method for segmenting FDG-PET images: methodology and validation.

Authors:  Xavier Geets; John A Lee; Anne Bol; Max Lonneux; Vincent Grégoire
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-03-13       Impact factor: 9.236

9.  A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: derivation from phantom measurements and validation in patient data.

Authors:  Andrea Schaefer; Stephanie Kremp; Dirk Hellwig; Christian Rübe; Carl-Martin Kirsch; Ursula Nestle
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-07-26       Impact factor: 9.236

10.  Assessment of various strategies for 18F-FET PET-guided delineation of target volumes in high-grade glioma patients.

Authors:  Hansjörg Vees; Srinivasan Senthamizhchelvan; Raymond Miralbell; Damien C Weber; Osman Ratib; Habib Zaidi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-09-26       Impact factor: 9.236

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