Literature DB >> 12463928

Head and neck lymph node region delineation with 3-D CT image registration.

Chia-Chi Teng1, Mary M Austin-Seymour, Jerry Barker, Ira J Kalet, Linda G Shapiro, Mark Whipple.   

Abstract

The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient images will contribute greatly to the success of radiation therapy and dramatically reduce the workload of radiation oncologists, who currently draw the target by hand on the images using simple computer drawing tools. The most challenging part of this process is to estimate where there is microscopic spread of disease. We are developing methods for automatically selecting and adapting standardized regions of tumor spread based on the location of lymph nodes in a standard or reference case, together with image registration techniques. The best available image registration techniques (deformable transformations computed using "mutual information" optimization) appear promising but will need to be supplemented by anatomic knowledge-based methods to achieve a clinically acceptable match.

Entities:  

Mesh:

Year:  2002        PMID: 12463928      PMCID: PMC2244440     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  4 in total

1.  The digital anatomist foundational model: principles for defining and structuring its concept domain.

Authors:  C Rosse; L G Shapiro; J F Brinkley
Journal:  Proc AMIA Symp       Date:  1998

2.  Prism: a new approach to radiotherapy planning software.

Authors:  I J Kalet; J P Jacky; M M Austin-Seymour; S M Hummel; K J Sullivan; J M Unger
Journal:  Int J Radiat Oncol Biol Phys       Date:  1996-09-01       Impact factor: 7.038

3.  Multimodality image registration by maximization of mutual information.

Authors:  F Maes; A Collignon; D Vandermeulen; G Marchal; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  1997-04       Impact factor: 10.048

4.  An imaging-based classification for the cervical nodes designed as an adjunct to recent clinically based nodal classifications.

Authors:  P M Som; H D Curtin; A A Mancuso
Journal:  Arch Otolaryngol Head Neck Surg       Date:  1999-04
  4 in total
  4 in total

1.  Extraction of metastatic lymph nodes from MR images using two deformable model-based approaches.

Authors:  Jia-Yin Zhou; Wen Fang; Kap-Luk Chan; Vincent F H Chong; James B K Khoo
Journal:  J Digit Imaging       Date:  2007-12       Impact factor: 4.056

2.  Improved detection of landmarks on 3D human face data.

Authors:  Shu Liang; Jia Wu; Seth M Weinberg; Linda G Shapiro
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

3.  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

4.  Content-specific auditing of a large scale anatomy ontology.

Authors:  Ira J Kalet; Jose L V Mejino; Vania Wang; Mark Whipple; James F Brinkley
Journal:  J Biomed Inform       Date:  2009-02-25       Impact factor: 6.317

  4 in total

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