Literature DB >> 3180744

Recognition of organs in CT-image sequences: a model guided approach.

N Karssemeijer1, L J van Erning, E G Eijkman.   

Abstract

A method is proposed for segmentation of organs in CT-image sequences. An important feature of the method is the use of search areas to guide the segmentation process. Time consuming, data-directed operations are restricted to these areas, instead of being applied to the whole image. A search area for a particular anatomical structure is determined by constraints, derived from a model of the imaged scene and by results already obtained in the recognition process. The method has been successfully applied on recognition of the spleen in abdominal X-ray CT scans.

Mesh:

Year:  1988        PMID: 3180744     DOI: 10.1016/0010-4809(88)90003-1

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  2 in total

1.  Tissue segmentation of computed tomography images using a Random Forest algorithm: a feasibility study.

Authors:  Daniel F Polan; Samuel L Brady; Robert A Kaufman
Journal:  Phys Med Biol       Date:  2016-08-17       Impact factor: 3.609

2.  Landmarking and segmentation of computed tomographic images of pediatric patients with neuroblastoma.

Authors:  Rangaraj M Rangayyan; Shantanu Banik; Graham S Boag
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-02-26       Impact factor: 2.924

  2 in total

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