Literature DB >> 15543801

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

Marcel van Straten1, Henk W Venema, Geert J Streekstra, Charles B L M Majoie, Gerard J den Heeten, Cornelis A Grimbergen.   

Abstract

In maximum intensity projection (MIP) images of CT angiography (CTA) scans, the arteries are often obscured by bone. A bone removal method is presented that uses an additional, nonenhanced scan to create a mask of the bone by thresholding and dilation. After registration of the CTA scan and the additional scan, the bone in the CTA scan is masked. As the cervical area contains bones that can move with respect to each other, these bones are separated first using a watershed algorithm, and then registered individually. A phantom study was performed to evaluate and quantify the tradeoff between the removal of the bone and the preservation of the arteries contiguous to the bone. The influence of algorithm parameters and scan parameters was studied. The method was clinically evaluated with data sets of 35 patients. Best results were obtained with a threshold of 150 HU and a dilation of 8 in-plane voxels and two out-of-plane voxels. The mean width of the soft tissue layer, which is also masked, was approximately 1 mm. The mAs value of the nonenhanced scan could be reduced from 250 mAs to 65 mAs without a loss of quality. In 32 cases the bones were registered correctly and removed completely. In three cases the bone separation was not completely successful, and consequently the bone was not completely removed. The piecewise matched mask bone elimination method proved to be able to obtain MIP images of the cervical arteries free from overprojecting bone in a fully automatic way and with only a slight increase of radiation dose.

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Year:  2004        PMID: 15543801     DOI: 10.1118/1.1797511

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  10 in total

1.  Prospective, multireader evaluation of image quality and vascular delineation of multislice CT angiography of the brain.

Authors:  Birgit B Ertl-Wagner; Roland Bruening; Jeffrey Blume; Ralf-Thorsten Hoffmann; Brad Snyder; Karin A Herrmann; Maximilian F Reiser
Journal:  Eur Radiol       Date:  2005-03-19       Impact factor: 5.315

2.  Evaluation of an improved technique for automated center lumen line definition in cardiovascular image data.

Authors:  Hugo A F Gratama van Andel; Erik Meijering; Aad van der Lugt; Henri A Vrooman; Cecile de Monyé; Rik Stokking
Journal:  Eur Radiol       Date:  2005-09-17       Impact factor: 5.315

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

Authors:  David G Heath; Horst K Hahn; Pamela T Johnson; Elliot K Fishman
Journal:  J Digit Imaging       Date:  2007-12-04       Impact factor: 4.056

4.  Three-dimensional bone-free computed tomographic angiography of aneurysms near the skull base using a new bone-removal application.

Authors:  Noriaki Tomura; Takahiro Otani; Ikuo Sakuma; Satoshi Takahashi; Toshiaki Nishii; Jiro Watarai
Journal:  Jpn J Radiol       Date:  2009-02-08       Impact factor: 2.374

5.  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

6.  Clinical evaluation of bone-subtraction CT angiography (BSCTA) in head and neck imaging.

Authors:  M Lell; K Anders; E Klotz; H Ditt; W Bautz; B F Tomandl
Journal:  Eur Radiol       Date:  2005-11-03       Impact factor: 5.315

Review 7.  Carotid stenosis: from diagnosis to management, where do we stand?

Authors:  Reshma Gokaldas; Maheep Singh; Sonia Lal; Ricardo J Benenstein; Ramandeep Sahni
Journal:  Curr Atheroscler Rep       Date:  2015       Impact factor: 5.113

8.  Diagnostic accuracy of CT angiography with matched mask bone elimination for detection of intracranial aneurysms: comparison with digital subtraction angiography and 3D rotational angiography.

Authors:  M Romijn; H A F Gratama van Andel; M A van Walderveen; M E Sprengers; J C van Rijn; W J van Rooij; H W Venema; C A Grimbergen; G J den Heeten; C B Majoie
Journal:  AJNR Am J Neuroradiol       Date:  2007-10-10       Impact factor: 3.825

9.  Bone-subtraction CT angiography: evaluation of two different fully automated image-registration procedures for interscan motion compensation.

Authors:  M M Lell; H Ditt; C Panknin; J W Sayre; S G Ruehm; E Klotz; B F Tomandl; J P Villablanca
Journal:  AJNR Am J Neuroradiol       Date:  2007-08       Impact factor: 3.825

10.  Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer.

Authors:  Soo Yong Lee; Sangwook Lim; Sun Young Ma; Jesang Yu
Journal:  Radiat Oncol J       Date:  2017-09-29
  10 in total

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