Literature DB >> 24170553

The effect of head movement on CT perfusion summary maps: simulations with CT hybrid phantom data.

F Fahmi1, A Riordan, L F M Beenen, G J Streekstra, N Y Janssen, H W de Jong, C B L Majoie, E van Bavel, H A Marquering.   

Abstract

Head movement is common during CT brain perfusion (CTP) acquisition of patients with acute ischemic stroke. The effects of this movement on the accuracy of CTP analysis has not been studied previously. The purpose of this study was to quantify the effects of head movement on CTP analysis summary maps using simulated phantom data. A dynamic digital CTP phantom dataset of 25 time frames with a simulated infarct volume was generated. Head movement was simulated by specific translations and rotations of the phantom data. Summary maps from this transformed phantom data were compared to the original data using the volumetric dice similarity coefficient (DSC). DSC for both penumbra and core strongly decreased for rotation angles larger than approximately 1°, 2°, and 7° for, respectively, pitch, roll, and yaw. The accuracy is also sensitive for small translations in the z-direction only. Sudden movements introduced larger errors than gradual movement. These results indicate that CTP summary maps are sensitive to head movement, even for small rotations and translations. CTP scans with head movement larger than the presented values should be interpreted with extra care.

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Year:  2013        PMID: 24170553     DOI: 10.1007/s11517-013-1125-7

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  17 in total

Review 1.  Imaging of stroke: Part 1, Perfusion CT--overview of imaging technique, interpretation pearls, and common pitfalls.

Authors:  Andrew Mark Allmendinger; Elizabeth R Tang; Yvonne W Lui; Vadim Spektor
Journal:  AJR Am J Roentgenol       Date:  2012-01       Impact factor: 3.959

2.  elastix: a toolbox for intensity-based medical image registration.

Authors:  Stefan Klein; Marius Staring; Keelin Murphy; Max A Viergever; Josien P W Pluim
Journal:  IEEE Trans Med Imaging       Date:  2009-11-17       Impact factor: 10.048

3.  Validation of CT brain perfusion methods using a realistic dynamic head phantom.

Authors:  Alan J Riordan; Mathias Prokop; Max A Viergever; Jan Willem Dankbaar; Ewoud J Smit; Hugo W A M de Jong
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

Review 4.  CT perfusion imaging in acute stroke.

Authors:  Angelos A Konstas; Max Wintermark; Michael H Lev
Journal:  Neuroimaging Clin N Am       Date:  2011-05       Impact factor: 2.264

5.  Identification of penumbra and infarct in acute ischemic stroke using computed tomography perfusion-derived blood flow and blood volume measurements.

Authors:  B D Murphy; A J Fox; D H Lee; D J Sahlas; S E Black; M J Hogan; S B Coutts; A M Demchuk; M Goyal; R I Aviv; S Symons; I B Gulka; V Beletsky; D Pelz; V Hachinski; R Chan; T-Y Lee
Journal:  Stroke       Date:  2006-06-08       Impact factor: 7.914

6.  Statistical validation of image segmentation quality based on a spatial overlap index.

Authors:  Kelly H Zou; Simon K Warfield; Aditya Bharatha; Clare M C Tempany; Michael R Kaus; Steven J Haker; William M Wells; Ferenc A Jolesz; Ron Kikinis
Journal:  Acad Radiol       Date:  2004-02       Impact factor: 3.173

7.  Quantification and clinical relevance of head motion during computed tomography.

Authors:  Arne Wagner; Kurt Schicho; Franz Kainberger; Wolfgang Birkfellner; Stephan Grampp; Rolf Ewers
Journal:  Invest Radiol       Date:  2003-11       Impact factor: 6.016

Review 8.  Use of neuroimaging to guide the treatment of patients beyond the 8-hour time window.

Authors:  Nazli Janjua
Journal:  Neurology       Date:  2012-09-25       Impact factor: 9.910

Review 9.  Advanced neuroimaging to guide acute stroke therapy.

Authors:  Gurpreet Singh Sandhu; Jeffrey L Sunshine
Journal:  Curr Cardiol Rep       Date:  2012-12       Impact factor: 2.931

10.  Quantitative assessment of core/penumbra mismatch in acute stroke: CT and MR perfusion imaging are strongly correlated when sufficient brain volume is imaged.

Authors:  Pamela W Schaefer; Elizabeth R Barak; Shahmir Kamalian; Leila Rezai Gharai; Lee Schwamm; Ramon Gilberto Gonzalez; Michael H Lev
Journal:  Stroke       Date:  2008-08-21       Impact factor: 7.914

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  3 in total

1.  3D movement correction of CT brain perfusion image data of patients with acute ischemic stroke.

Authors:  Fahmi Fahmi; Henk A Marquering; Jordi Borst; Geert J Streekstra; Ludo F M Beenen; Joris M Niesten; Birgitta K Velthuis; Charles B L Majoie; Ed vanBavel
Journal:  Neuroradiology       Date:  2014-04-09       Impact factor: 2.804

2.  Effect of extended CT perfusion acquisition time on ischemic core and penumbra volume estimation in patients with acute ischemic stroke due to a large vessel occlusion.

Authors:  Jordi Borst; Henk A Marquering; Ludo F M Beenen; Olvert A Berkhemer; Jan Willem Dankbaar; Alan J Riordan; Charles B L M Majoie
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

3.  Dynamic CT perfusion image data compression for efficient parallel processing.

Authors:  Renan Sales Barros; Silvia Delgado Olabarriaga; Jordi Borst; Marianne A A van Walderveen; Jorrit S Posthuma; Geert J Streekstra; Marcel van Herk; Charles B L M Majoie; Henk A Marquering
Journal:  Med Biol Eng Comput       Date:  2015-06-24       Impact factor: 2.602

  3 in total

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