Literature DB >> 18066625

Automated multidetector row CT dataset segmentation with an interactive watershed transform (IWT) algorithm: Part 2. Body CT angiographic and orthopedic applications.

Pamela T Johnson1, Horst K Hahn, David G Heath, Elliot K Fishman.   

Abstract

The preceding manuscript describes the principles behind the Interactive Watershed Transform (IWT) segmentation tool. The purpose of this manuscript is to illustrate the clinical utility of this editing technique for body multidetector row computed tomography (MDCT) imaging. A series of cases demonstrates clinical applications where automated segmentation of skeletal structures with IWT is most useful. Both CT angiography and orthopedic applications are presented.

Mesh:

Year:  2007        PMID: 18066625      PMCID: PMC3043853          DOI: 10.1007/s10278-007-9087-7

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


  7 in total

1.  Robust processing of intracranial CT angiograms for 3D volume rendering.

Authors:  E A Moore; J P Grieve; H R Jäger
Journal:  Eur Radiol       Date:  2001       Impact factor: 5.315

2.  Segmentation of carpal bones from CT images using skeletally coupled deformable models.

Authors:  Thomas B Sebastian; Hüseyin Tek; Joseph J Crisco; Benjamin B Kimia
Journal:  Med Image Anal       Date:  2003-03       Impact factor: 8.545

3.  A new accurate and precise 3-D segmentation method for skeletal structures in volumetric CT data.

Authors:  Yan Kang; Klaus Engelke; Willi A Kalender
Journal:  IEEE Trans Med Imaging       Date:  2003-05       Impact factor: 10.048

4.  Automated segmentation of acetabulum and femoral head from 3-D CT images.

Authors:  Reza A Zoroofi; Yoshinobu Sato; Toshihiko Sasama; Takashi Nishii; Nobuhiko Sugano; Kazuo Yonenobu; Hideki Yoshikawa; Takahiro Ochi; Shinichi Tamura
Journal:  IEEE Trans Inf Technol Biomed       Date:  2003-12

5.  Automatic bone segmentation technique for CT angiographic studies.

Authors:  M Fiebich; C M Straus; V Sehgal; B C Renger; K Doi; K R Hoffmann
Journal:  J Comput Assist Tomogr       Date:  1999 Jan-Feb       Impact factor: 1.826

6.  Validation of bone segmentation and improved 3-D registration using contour coherency in CT data.

Authors:  Liping Ingrid Wang; Michael Greenspan; Randy Ellis
Journal:  IEEE Trans Med Imaging       Date:  2006-03       Impact factor: 10.048

7.  Improved speed of bone removal in computed tomographic angiography using automated targeted morphological separation: method and evaluation in computed tomographic angiography of lower extremity occlusive disease.

Authors:  Raghav Raman; Bhargav Raman; Sandy Napel; Geoffrey D Rubin
Journal:  J Comput Assist Tomogr       Date:  2008 May-Jun       Impact factor: 1.826

  7 in total
  3 in total

1.  Automatic bone removal for 3D TACE planning with C-arm CBCT: Evaluation of technical feasibility.

Authors:  Zhijun Wang; Eberhard Hansis; Rongxin Chen; Rafael Duran; Julius Chapiro; Yun Robert Sheu; Hicham Kobeiter; Michael Grass; Jean-François Geschwind; MingDe Lin
Journal:  Minim Invasive Ther Allied Technol       Date:  2016-02-29       Impact factor: 2.442

2.  Marker-controlled watershed for lesion segmentation in mammograms.

Authors:  Shengzhou Xu; Hong Liu; Enmin Song
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

3.  A Method for Lung Boundary Correction Using Split Bregman Method and Geometric Active Contour Model.

Authors:  Changli Feng; Jianxun Zhang; Rui Liang
Journal:  Comput Math Methods Med       Date:  2015-05-18       Impact factor: 2.238

  3 in total

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