Literature DB >> 18279984

Atlas-based delineation of lymph node levels in head and neck computed tomography images.

Olivier Commowick1, Vincent Grégoire, Grégoire Malandain.   

Abstract

PURPOSE: Radiotherapy planning requires accurate delineations of the tumor and of the critical structures. Atlas-based segmentation has been shown to be very efficient to automatically delineate brain critical structures. We therefore propose to construct an anatomical atlas of the head and neck region. METHODS AND MATERIALS: Due to the high anatomical variability of this region, an atlas built from a single image as for the brain is not adequate. We address this issue by building a symmetric atlas from a database of manually segmented images. First, we develop an atlas construction method and apply it to a database of 45 Computed Tomography (CT) images from patients with node-negative pharyngo-laryngeal squamous cell carcinoma manually delineated for radiotherapy. Then, we qualitatively and quantitatively evaluate the results generated by the built atlas based on Leave-One-Out framework on the database.
RESULTS: We present qualitative and quantitative results using this atlas construction method. The evaluation was performed on a subset of 12 patients among the original CT database of 45 patients. Qualitative results depict visually well delineated structures. The quantitative results are also good, with an error with respect to the best achievable results ranging from 0.196 to 0.404 with a mean of 0.253.
CONCLUSIONS: These results show the feasibility of using such an atlas for radiotherapy planning. Many perspectives are raised from this work ranging from extensive validation to the construction of several atlases representing sub-populations, to account for large inter-patient variabilities, and populations with node-positive tumors.

Entities:  

Mesh:

Year:  2008        PMID: 18279984     DOI: 10.1016/j.radonc.2008.01.018

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


  26 in total

1.  Evaluation of multiple-atlas-based strategies for segmentation of the thyroid gland in head and neck CT images for IMRT.

Authors:  A Chen; K J Niermann; M A Deeley; B M Dawant
Journal:  Phys Med Biol       Date:  2011-11-29       Impact factor: 3.609

2.  Assessment of accuracy and efficiency of atlas-based autosegmentation for prostate radiotherapy in a variety of clinical conditions.

Authors:  I Simmat; P Georg; D Georg; W Birkfellner; G Goldner; M Stock
Journal:  Strahlenther Onkol       Date:  2012-06-07       Impact factor: 3.621

3.  Using Frankenstein's creature paradigm to build a patient specific atlas.

Authors:  Olivier Commowick; Simon K Warfield; Grégoire Malandain
Journal:  Med Image Comput Comput Assist Interv       Date:  2009

4.  Construction of patient specific atlases from locally most similar anatomical pieces.

Authors:  Liliane Ramus; Olivier Commowick; Grégoire Malandain
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

5.  Incorporating priors on expert performance parameters for segmentation validation and label fusion: a maximum a posteriori STAPLE.

Authors:  Olivier Commowick; Simon K Warfield
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

6.  Fluctuations of the transcription factor ATML1 generate the pattern of giant cells in the Arabidopsis sepal.

Authors:  Heather M Meyer; José Teles; Pau Formosa-Jordan; Yassin Refahi; Rita San-Bento; Gwyneth Ingram; Henrik Jönsson; James C W Locke; Adrienne H K Roeder
Journal:  Elife       Date:  2017-02-01       Impact factor: 8.140

Review 7.  Preoperative workflow for lymph nodes staging.

Authors:  Debora Botturi; Francesca Pizzorni Ferrarese; Giulia Angela Zamboni; Davide Zerbato
Journal:  Int J Comput Assist Radiol Surg       Date:  2008-10-28       Impact factor: 2.924

8.  Combining registration and active shape models for the automatic segmentation of the lymph node regions in head and neck CT images.

Authors:  Antong Chen; Matthew A Deeley; Kenneth J Niermann; Luigi Moretti; Benoit M Dawant
Journal:  Med Phys       Date:  2010-12       Impact factor: 4.071

9.  Deformable image registration for cone-beam CT guided transoral robotic base-of-tongue surgery.

Authors:  S Reaungamornrat; W P Liu; A S Wang; Y Otake; S Nithiananthan; A Uneri; S Schafer; E Tryggestad; J Richmon; J M Sorger; J H Siewerdsen; R H Taylor
Journal:  Phys Med Biol       Date:  2013-06-27       Impact factor: 3.609

10.  Head and neck lymph node region delineation with image registration.

Authors:  Chia-Chi Teng; Linda G Shapiro; Ira J Kalet
Journal:  Biomed Eng Online       Date:  2010-06-22       Impact factor: 2.819

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