Literature DB >> 14644482

Evaluation of a multimodality image (CT, MRI and PET) coregistration procedure on phantom and head and neck cancer patients: accuracy, reproducibility and consistency.

Jean-François Daisne1, Mérence Sibomana, Anne Bol, Guy Cosnard, Max Lonneux, Vincent Grégoire.   

Abstract

BACKGROUND AND
PURPOSE: In radiotherapy planning of head and neck tumors, coregistration of various anatomical (e.g. CT and MRI) and functional (e.g. PET) images is a promising way to improve the delineation of the target volumes. In this paper, we report data on accuracy, reproducibility and consistency of an interactive coregistration procedure in a specifically designed phantom and in a group of patients with primary head and neck tumors. PATIENTS AND METHODS: A phantom and a group of four patients with pharyngo-laryngeal tumors were imaged by CT scan (taken as the reference image), MRI (T1- and T2-weighed sequences) and PET (transmission and FDG emission). Sets of images were coregistered using an interactive rigid coregistration method based on interactive surface segmentation. Translational and rotational displacements relative to the reference CT scan were measured and expressed in terms of accuracy, reproducibility (inter- and intra-observer variation) and consistency (between T1- and T2-weighed MRI).
RESULTS: Coregistration accuracy was in the range of 0.8-6.2 mm and 1.2-4.6 mm for the phantom and the patients, respectively. Accuracy was slightly worse in the z direction, and was significantly correlated with the spatial resolution of the imaging modalities, at least for the phantom. Inter- and intra-observer variations were very small and always far below the residual variance. Consistency was perfect except in the y direction.
CONCLUSION: Providing adequate set-up is chosen, accurate coregistration of CT, MR and FDG-PET images can be obtained in the head and neck area. Coregistration was consistent and highly reproducible among observers.

Entities:  

Mesh:

Year:  2003        PMID: 14644482     DOI: 10.1016/j.radonc.2003.10.009

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


  27 in total

1.  The role of molecular imaging in precision radiation therapy for target definition, treatment planning optimisation and quality control.

Authors:  Giovanni Lucignani; Barbara A Jereczek-Fossa; Roberto Orecchia
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-03-30       Impact factor: 9.236

2.  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

3.  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

4.  Image coregistration: quantitative processing framework for the assessment of brain lesions.

Authors:  Hannu Huhdanpaa; Darryl H Hwang; Gregory G Gasparian; Michael T Booker; Yong Cen; Alexander Lerner; Orest B Boyko; John L Go; Paul E Kim; Anandh Rajamohan; Meng Law; Mark S Shiroishi
Journal:  J Digit Imaging       Date:  2014-06       Impact factor: 4.056

5.  Definition of the CTV prostate in CT and MRI by using CT-MRI image fusion in IMRT planning for prostate cancer.

Authors:  Bettina Hentschel; Wolfgang Oehler; Dirk Strauss; Andreas Ulrich; Ansgar Malich
Journal:  Strahlenther Onkol       Date:  2011-02-24       Impact factor: 3.621

6.  Multimodality image registration in the head-and-neck using a deep learning-derived synthetic CT as a bridge.

Authors:  Elizabeth M McKenzie; Anand Santhanam; Dan Ruan; Daniel O'Connor; Minsong Cao; Ke Sheng
Journal:  Med Phys       Date:  2020-01-02       Impact factor: 4.071

7.  Performance Evaluation of Color Models in the Fusion of Functional and Anatomical Images.

Authors:  Padma Ganasala; Vinod Kumar; A D Prasad
Journal:  J Med Syst       Date:  2016-04-01       Impact factor: 4.460

Review 8.  Functional magnetic resonance imaging techniques and their development for radiation therapy planning and monitoring in the head and neck cancers.

Authors:  Jing Yuan; Gladys Lo; Ann D King
Journal:  Quant Imaging Med Surg       Date:  2016-08

9.  Radiotherapy planning: PET/CT scanner performances in the definition of gross tumour volume and clinical target volume.

Authors:  Ernesto Brianzoni; Gloria Rossi; Sergio Ancidei; Alfonso Berbellini; Francesca Capoccetti; Carla Cidda; Paola D'Avenia; Sara Fattori; Gian Carlo Montini; Gianluca Valentini; Alfredo Proietti; Carlo Algranati
Journal:  Eur J Nucl Med Mol Imaging       Date:  2005-08-26       Impact factor: 9.236

10.  Nonrigid image registration for head and neck cancer radiotherapy treatment planning with PET/CT.

Authors:  Rob H Ireland; Karen E Dyker; David C Barber; Steven M Wood; Michael B Hanney; Wendy B Tindale; Neil Woodhouse; Nigel Hoggard; John Conway; Martin H Robinson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-04-18       Impact factor: 7.038

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