Reconstruction and visualization of irregularly sampled three- and four-dimensional ultrasound data for cerebrovascular applications

• Verfasst von: Meairs, Stephen [VerfasserIn]
• Verfasst von: Beyer, Jens [VerfasserIn]
• Verfasst von: Hennerici, Michael G. [VerfasserIn]
• Titel: Reconstruction and visualization of irregularly sampled three- and four-dimensional ultrasound data for cerebrovascular applications
• Verf.angabe: Stephen Meairs, Jens Beyer and Michael Hennerici
• E-Jahr: 2000
• Jahr: 15 March 2000
• Umfang: 10 S.
• Fussnoten: Gesehen am 13.06.2022
• Titel Quelle: Enthalten in: Ultrasound in medicine & biology
• Ort Quelle: Amsterdam [u.a.] : Elsevier Science, 1973
• Jahr Quelle: 2000
• Band/Heft Quelle: 26(2000), 2, Seite 263-272
• ISSN Quelle: 1879-291X
• DOI: doi:10.1016/s0301-5629(99)00130-1
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Blood Flow Velocity
• Sach-SW: Carotid Arteries
• Sach-SW: Cerebral Arteries
• Sach-SW: Cerebrovascular Circulation
• Sach-SW: Cerebrovascular Disorders
• Sach-SW: Humans
• Sach-SW: Image Processing, Computer-Assisted
• Sach-SW: Reproducibility of Results
• Sach-SW: Ultrasonography, Doppler, Color
• Sach-SW: Ultrasonography, Doppler, Transcranial
• K10plus-PPN: 1806872773

Abstract

Although recent studies have demonstrated the potential value of compounded data for improvement in signal-to-noise ratio and speckle contrast for three-dimensional (3-D) ultrasonography, clinical applications are lacking. We investigated the potential of six degrees-of-freedom (6-DOF) scanhead position and orientation measurement (POM) devices for registration of in vivo multiplanar, irregularly sampled ultrasound (US) images to a regular 3-D volume space. The results demonstrate that accurate spatial and temporal registration of four-dimensional (4-D) US data can be achieved using a 6-DOF scanhead tracking system. For reconstruction of arbitrary, irregularly sampled US data, we introduce a technique based upon a weighted, ellipsoid Gaussian convolution kernel. Volume renderings of 3-D and 4-D compounded in vivo US data are presented. The results, although restricted to the field of cerebrovascular disease, will be of value to other applications of 3-D sonography, particularly those in which compounding of data through irregular sampling may provide superior information on tissue or vessel structure.