Literature DB >> 16702462

Volume rendering versus maximum intensity projection in CT angiography: what works best, when, and why.

Elliot K Fishman1, Derek R Ney, David G Heath, Frank M Corl, Karen M Horton, Pamela T Johnson.   

Abstract

The introduction and widespread availability of 16-section multi-detector row computed tomographic (CT) technology and, more recently, 64-section scanners, has greatly advanced the role of CT angiography in clinical practice. CT angiography has become a key component of state-of-the-art imaging, with applications ranging from oncology (eg, staging of pancreatic or renal cancer) to classic vascular imaging (eg, evaluation of aortic aneurysms and renal artery stenoses) as well as newer techniques such as coronary artery imaging and peripheral runoff studies. With an average of 400-1000 images in each volume data set, three-dimensional postprocessing is crucial to volume visualization. Radiologists now have workstations that provide capabilities for evaluation of these data sets by using a range of software programs and processing tools. Although different systems have unique capabilities and functionality, all provide the options of volume rendering and maximum intensity projection for image display and analysis. These two postprocessing techniques have different advantages and disadvantages when used in clinical practice, and it is important that radiologists understand when and how each technique should be used. Copyright RSNA, 2006.

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Year:  2006        PMID: 16702462     DOI: 10.1148/rg.263055186

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  60 in total

1.  Evaluating the growth of pulmonary nodular ground-glass opacity on CT: comparison of volume rendering and thin slice images.

Authors:  Mingzhu Liang; Xueguo Liu; Weidong Li; Kunwei Li; Xiangmeng Chen; Guojie Wang; Kai Chen; Jinxin Zhang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2011-12-16

Review 2.  Volume visualization: a technical overview with a focus on medical applications.

Authors:  Qi Zhang; Roy Eagleson; Terry M Peters
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

3.  Characterization of radiologists' search strategies for lung nodule detection: slice-based versus volumetric displays.

Authors:  Xiao Hui Wang; Janet E Durick; Amy Lu; David L Herbert; Saraswathi K Golla; Kristin Foley; C Samia Piracha; Dilip D Shinde; Betty E Shindel; Carl R Fuhrman; Cynthia A Britton; Diane C Strollo; Sherry S Shang; Joan M Lacomis; Walter F Good
Journal:  J Digit Imaging       Date:  2007-09-15       Impact factor: 4.056

4.  Hybrid cardiac imaging: more than the sum of its parts?

Authors:  Oliver Gaemperli; Philipp A Kaufmann
Journal:  J Nucl Cardiol       Date:  2008 Jan-Feb       Impact factor: 5.952

Review 5.  [Multidetector computed tomography in the diagnosis of non-traumatic vascular emergencies].

Authors:  B Baumert; M Körner; M Sadeghi-Azandaryani; C Rummeny; M Reiser; U Linsenmaier
Journal:  Radiologe       Date:  2009-06       Impact factor: 0.635

6.  Integrating automatic and interactive methods for coronary artery segmentation: let the PACS workstation think ahead.

Authors:  Chunliang Wang; Orjan Smedby
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-07-25       Impact factor: 2.924

7.  Efficacy of computer aided analysis in detection of significant coronary artery stenosis in cardiac using dual source computed tomography.

Authors:  Anja J Reimann; Ilias Tsiflikas; Harald Brodoefel; Michael Scheuering; Daniel Rinck; Andreas F Kopp; Claus D Claussen; Martin Heuschmid
Journal:  Int J Cardiovasc Imaging       Date:  2008-09-28       Impact factor: 2.357

8.  Three-dimensional visualization of pelvic vascularity.

Authors:  Hong-Mei Ding; Zhi-Xun Yin; Xiao-Bing Zhou; Yan-Bin Li; Mao-Lin Tang; Sheng-Hua Chen; Da-Chuan Xu; Shi-Zhen Zhong
Journal:  Surg Radiol Anat       Date:  2008-04-15       Impact factor: 1.246

9.  Hepatoma feeding arteriogram created by CT during aortography using IVR 64-multidetector-row CT for catheterization in transcatheter arterial chemoembolization for hepatocellular carcinoma.

Authors:  Hiroki Minamiguchi; Nobuyuki Kawai; Morio Sato; Akira Ikoma; Hiroki Sanda; Kouhei Nakata; Fumihiro Tanaka; Motoki Nakai; Tetsuo Sonomura; Kazuhiro Murotani; Seiki Hosokawa; Tadayoshi Nishioku
Journal:  Jpn J Radiol       Date:  2013-05-09       Impact factor: 2.374

10.  Tracking Navigation Imaging of Transcatheter Arterial Chemoembolization for Hepatocellular Carcinoma Using Three-Dimensional Cone-Beam CT Angiography.

Authors:  Yasunori Minami; Yukinobu Yagyu; Takamichi Murakami; Masatoshi Kudo
Journal:  Liver Cancer       Date:  2014-03       Impact factor: 11.740

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