Literature DB >> 22258731

Automatic patient table removal in CT images.

Yang-Ming Zhu1, Steven M Cochoff, Ronald Sukalac.   

Abstract

In many medical imaging applications, it is desirable and important to localize and remove the patient table from CT images. However, existing methods often require user interactions to define the table and sometimes make inaccurate assumptions about the table shape. Due to different patient table designs, shapes, and characteristics, these methods are not robust in identifying and removing the patient table. This paper proposes a new automatic approach which first identifies and locates the patient table in the sagittal planes and then removes it from the axial planes. The method has been tested successfully against different tables in different products from multiple vendors, showing it is both a versatile and robust technique for patient table removal.

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Mesh:

Year:  2012        PMID: 22258731      PMCID: PMC3389083          DOI: 10.1007/s10278-012-9454-x

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  1 in total

1.  Modeling of carbon fiber couch attenuation properties with a commercial treatment planning system.

Authors:  I B Mihaylov; P Corry; Y Yan; V Ratanatharathorn; E G Moros
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

  1 in total
  1 in total

1.  Motion correction of in vivo three-dimensional optical coherence tomography of human skin using a fiducial marker.

Authors:  Yih Miin Liew; Robert A McLaughlin; Fiona M Wood; David D Sampson
Journal:  Biomed Opt Express       Date:  2012-06-29       Impact factor: 3.732

  1 in total

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