English  

Scientific Publication : Nuclear Medicine


  • Planet Onco   

  • Publications IMNC (IN2P3, CNRS)

  • Papers

[Necib 2010_1] Necib H, Garcia C, Wagner A, Vanderlinden B, Emonts P, Hendlisz A, Flamen P, Buvat I. “Detection and characterization of tumor changes in FDG PET patient monitoring using parametric imaging.”, Submitted to J. Nucl. Med, 2010.

[Tylski 2010] Tylski P., Stute S., Grotus N., Doyeux K., Hapdey S., Gardin I., Vanderlinden B., and Buvat I. “Comparative assessment of methods for estimating tumor volume and Standardized Uptake Value in (18)F-FDG PET.”, J Nucl Med, 51 :268-276, Jan 2010.

  • Abstracts

[Necib 2010_2] H. Necib, C. Garcia, A. Wagner, A. Hendlisz, P. Flamen, I. Buvat. “Validation of parametric imaging for detecting early tumor changes between two FDG PET-CT scans. ”, J. Nucl. Med., 2010; 51: 26.

[Necib 2010_3] H. Necib, C. Garcia, A. Wagner, A. Hendlisz, P. Flamen, I. Buvat. “Which threshold should be used to detect SUV change in FDG-PET patient monitoring?”, J. Nucl. Med., 2010; 51: 1177.

[Maisonobe 2010] J.A. Maisonobe, S. Stute, H. Necib, I. Buvat. “Is partial volume correction useful for detecting tumor uptake changes in patient monitoring.”, J. Nucl. Med., 2010; 51: 27.

[Tylski 2009] P. Tylski, M. Dusart, C. Garcia, B. Vanderlinden, and I. Buvat. “Assessment of SUV accuracy in phantom and patient FDG PET data. ”, J. Nucl. Med., 2009; 50: 60.

[Necib 2008_1] H. Necib, M. Dusart, P. Tylski, B. Vanderlinden, I. Buvat. “Detection of the tumor changes between two FDG PET scans using parametric imaging.” J. Nucl. Med., 2008; 49: 121P.

[Necib 2008_2] H. Necib, M. Dusart, P. Tylski, B. Vanderlinden, I. Buvat. “Parametric imaging for functional monitoring of tumors in FDG PET.” J. Nucl. Med., 2008; 49: 120P.

[Necib 2008_3] H. Necib, M. Dusart, B. Vanderlinden, I. Buvat. “Detection and characterization of the tumor change between two FDG PET scans using parametric imaging.” ISBI Conf records, 2008; 21-24.

[Tylski 2008_1] P. Tylski, M. Dusart, B. Vanderlinden, I. Buvat. “Assigning statistical significance to tumor changes in patient monitoring using FDG PET.” ISBI Conf records, 2008; 121-124.

[Tylski 2008_2] P. Tylski, M. Dusart, H. Necib, B. Vanderlinden, I. Buvat. “Which parameter should be considered to characterize tumor changes in patient monitoring using FDGPET?” J. Nucl. Med., 2008; 49: 382P.

[Tylski 2008_3] P. Tylski, M. Dusart, H. Necib, B. Vanderlinden, I. Buvat. “A method to assign statistical significance to SUV changes in patient follow-up with FDG-PET.” J. Nucl. Med., 2008; 49: 383P.


  • Publications TELECOM ParisTech: TSI

  •  Papers

[Moreno 2008] A. Moreno, S. Chambon, A. Santhanam, J. Rolland, E. Angelini, and I. Bloch. “Combining a Breathing Model and Tumor-Specific Rigidity Constraints for Registration of CT-TEP Thoracic Data.”, Computer Aided Surgery, 13(5):281--298, Sept. 2008.

[Moreno 2008_1] A. Moreno, C. M. Takemura, O. Colliot, O. Camara, and I. Bloch. “Using Anatomical Knowledge Expressed as Fuzzy Constraints to Segment the Heart in CT Images.” Pattern Recognition, 41:2525--2540, 2008.

  • Abstracts

[Wojak 2010_1] J. Wojak, Elsa D. Angelini et Isabelle Bloch. “Segmentation multimodale de tumeurs pulmonaires et de ganglions lymphatiques par une méthode variationnelle.”, RFIA. Caen, France, Janvier 2010, pp. 199-205.

[Wojak 2010_2] J. Wojak, Elsa D. Angelini et Isabelle Bloch. “Joint Variational Segmentation of CT-PET Data for Tumoral Lesions. ” IEEE International Symposium on Biomedical Imaging (ISBI). Rotterdam, Netherlands, Avril 2010, pp. 217-220.

[Wojak 2010_3] J. Wojak, Elsa D. Angelini et Isabelle Bloch. “Introducing Shape Constraint via Legendre Moments in a Variational.” Framework for Cardiac Segmentation on non- Contrast CT Image. VISAPP. Angers, France, Mai 2010, pp. 209-214.

 

  • Publications CEA I2BM SHFJ GATI

  • Papers

[Maroy 2008] R. Maroy, L. Saint Christophe, S. de Gavriloff, C. Comtat, M.-J. Santiago- Ribeiro, and R. Trébossen. T-LMA: “An automated tumor segmentation method: application to lung cancer.” IEEE TMI, 2008.

  • Abstracts

[Scigliano 2009] S. Scigliano, R. Maroy, Y. Fontyn, P. Merlet, C. Comtat, R. Trebossen. “Impact of deep inspiration breath hold and free breathing acquisitions on the quantification of FDG PET for lung cancer using automatic structure delineation.”, J. Nucl. Med., 2009. 


  • Other Academic publications

[Aristophanous 2007] Aristophanous M, Penney B C, Martel M K and Pelizzari C A 2007 “A Gaussian mixture model for definition of lung tumor volumes in positron emission tomography.”, Med. Phys. 34 4223-35.

[Black 2004] Black Q. C., Grills I. S., Kestin L. L., Wong C.-Y. O., Wong J. W., Martinez A. A., and Yan D. “Defining a radiotherapy target with positron emission tomography.”, Int J Radiat Oncol Biol Phys, 60(4) :1272-1282, Nov 2004.

[Daisne 2003] Daisne J F, Sibomana M, Bol A, Doumont T, Lonneux M, and Grégoire V 2003. “ Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios : influence of reconstruction algorithms”, Radiotherapy and Oncology 69 247-50.

[Drever 2007] Drever L, Roa W, McEwan A, Robinson D 2007. “Iterative threshold segmentation for PET target volume delineation.”, Med. Phys. 34 1253-65.

[Dwamena 1999] Dwamena B A, Sonnad S S, Angobaldo J O, et al. 1999. “Metastases from non-small cell lung cancer: Mediastinal staging in the 1990s—meta-analytic comparison of PET and CT.”, Radiology 213 530 –36.

[Erdi 1997] Erdi Y E, Mawlawi O, Larson S M, Imbriaco M, Yeung H, Finn R, and Humm JL 1997 “Segmentation of lung lesion volume by adaptative positron emission tomography image thresholding.”, Cancer 80 (Suppl) 2505-09.

[Gambhir 2001] Gambhir S S, Czernin J, Schwimmer J, Silverman D H, Coleman R E and Phelps M E 2001. “A tabulated summary of the FDG PET literature.”, J. Nucl. Med. 42 1S-93S.

[Geets 2007] Geets X, Lee J A, Bol A, Lonneux M, Grégoire V 2007. “A gradient-based method for segmenting FDG-PET images: methodology and validation.”, Eur. J. Nucl. Med. Mol. Imaging 34 1427-38.

[Green 2008] Green A, Francis R, Baig S and Begent R 2008. “Semiautomatic volume of interest drawing for 18F-FDG image analysis-method and preliminary results.”, Eur. J. Nucl. Med. Mol. Imaging 35 393-06.

[Jentzen 2007] Jentzen W, Freudenberg L, Eising E G, Heinze M, Brandau W, Bockisch A 2007. “Segmentation of PET volumes by iterative image thresholding.”, J. Nucl. Med. 48 108- 14.

[Mah 2002] Mah, K, CB Caldwell, et al. “The impact of (18)FDG-PET on target and critical organs in CT-based treatment planning of patients with poorly defined non-small-cell lung carcinoma: a prospective study 2002”, Int. J. Radiation Onc. Biol. Phys. 52 339-50.

[Montgomery 2007] Montgomery D W, Amira A, Zaidi H 2007. “Fully automated segmentation of oncological PET volumes using a combined multiscale and statistical model.”, Med. Phys. 34:722-36.

[Nestle 2005] Nestle U., Kremp S., Schaefer-Schuler A., Sebastian-Welsch C., Hellwig D., Rübe C., and Kirsch C.-M. “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.”, J Nucl Med, 46(8) :1342-1348, Aug 2005.

[Nestle 2007] Nestle U., Schaefer-Schuler A., Kremp S., Groeschel A., Hellwig D., Rübe C., and Kirsch C.-M. “Target volume definition for 18F-FDG PET-positive lymph nodes in radiotherapy of patients with non-small cell lung cancer.”, Eur J Nucl Med Mol Imaging, 34(4) :453 462, Apr 2007.

[Nestle 2008] Nestle U, Weber W, Hentschel M and Grosu A L 2008. “Biological imaging in radiotherapy: role of positron emission tomography.”, Phys. Med. Biol. 54 R1-R25.

[Paulino 2004] Paulino A C and Johnstone P A 2004. “FDG-PET in radiotherapy treatment planning: Pandora’s box?”, Int. J. Radiation Onc. Biol. Phys. 64 435-48.

[Pieterman 2000] Pieterman R M, van Putten J W G, Meuzelaar J J, et al. 2000. “Preoperative staging of non-small-cell lung cancer with positron emission tomography.”, N. Engl. J. Med. 343 254–61.

[Vauclin 2009] Vauclin S., Doyeux K., Hapdey S., Edet-Sanson A., Vera P., and Gardin I. “Development of a generic thresholding algorithm for the delineation of 18FDG-PET-positive tissue: application to the comparison of three thresholding models.”, Phys Med Biol, 54 : 6901-6916, Oct 2009.