Literature DB >> 18060525

Automated multidetector row CT dataset segmentation with an interactive watershed transform (IWT) algorithm: Part 1. Understanding the IWT technique.

David G Heath1, Horst K Hahn, Pamela T Johnson, Elliot K Fishman.   

Abstract

Segmentation of volumetric computed tomography (CT) datasets facilitates evaluation of 3D CT angiography renderings, particularly with maximum intensity projection displays. This manuscript describes a novel automated bone editing program that uses an interactive watershed transform (IWT) technique to rapidly extract the skeletal structures from the volume. Advantages of this tool include efficient segmentation of large datasets with minimal need for correction. In the first of this two-part series, the principles of the IWT technique are reviewed, followed by a discussion of clinical utility based on our experience.

Mesh:

Year:  2007        PMID: 18060525      PMCID: PMC3043852          DOI: 10.1007/s10278-007-9085-9

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


  11 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.  Automated segmentation and visualization of the pulmonary vascular tree in spiral CT angiography: an anatomy-oriented approach based on three-dimensional image analysis.

Authors:  Y Masutani; H MacMahon; K Doi
Journal:  J Comput Assist Tomogr       Date:  2001 Jul-Aug       Impact factor: 1.826

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.  A reliable and efficient method for cerebral ventricular volumetry in pediatric neuroimaging.

Authors:  H K Hahn; W S Millar; O Klinghammer; M S Durkin; P K Tulipano; H-O Peitgen
Journal:  Methods Inf Med       Date:  2004       Impact factor: 2.176

5.  Removal of bone in CT angiography of the cervical arteries by piecewise matched mask bone elimination.

Authors:  Marcel van Straten; Henk W Venema; Geert J Streekstra; Charles B L M Majoie; Gerard J den Heeten; Cornelis A Grimbergen
Journal:  Med Phys       Date:  2004-10       Impact factor: 4.071

6.  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

7.  Sensitivity and reproducibility of a new fast 3D segmentation technique for clinical MR-based brain volumetry in multiple sclerosis.

Authors:  Carsten Lukas; Horst K Hahn; Barbara Bellenberg; Jan Rexilius; Gebhard Schmid; Sebastian K Schimrigk; Horst Przuntek; Odo Köster; Heinz-Otto Peitgen
Journal:  Neuroradiology       Date:  2004-11-05       Impact factor: 2.804

8.  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

9.  Bone-subtraction CT angiography for the evaluation of intracranial aneurysms.

Authors:  B F Tomandl; T Hammen; E Klotz; H Ditt; B Stemper; M Lell
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

10.  Assessment of automatic vessel tracking techniques in preoperative planning of transluminal aortic stent graft implantation.

Authors:  Daniel T Boll; Jonathan S Lewin; Jeffrey L Duerk; Dava Smith; Krishna Subramanyan; Elmar M Merkle
Journal:  J Comput Assist Tomogr       Date:  2004 Mar-Apr       Impact factor: 1.826

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  1 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

  1 in total

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