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3‐dimensional sonographic analysis based on color flow Doppler and gray scale image data: a preliminary report
Author(s) -
Pretorius D H,
Nelson T R,
Jaffe J S
Publication year - 1992
Publication title -
journal of ultrasound in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 91
eISSN - 1550-9613
pISSN - 0278-4297
DOI - 10.7863/jum.1992.11.5.225
Subject(s) - medicine , computer vision , grayscale , artificial intelligence , volume rendering , orientation (vector space) , visualization , color doppler , rendering (computer graphics) , biomedical engineering , computer graphics (images) , computer science , radiology , pixel , ultrasonography , geometry , mathematics
This paper presents preliminary results of a technique that permits acquisition and display of three‐dimensional (3D) anatomy using data collected from color flow Doppler and gray scale image sonography. 3D sonographic image data were acquired as two‐dimensional planar images with commercially available equipment. A translational stage permitted the transducer position and orientation to be determined. Color flow sonographic video image data were digitized into a PC‐AT computer along with transducer position and orientation information. Color flow velocity and gray scale data were separated, 3D filtered, and thresholded. A surface rendering program was used to define the vessel blood‐lumen interface. Planar slices of arbitrary orientation and volume rendered images were displayed interactively on a graphics workstation. The technique was demonstrated in a lamb kidney in vitro and for the carotid artery at the bifurcation in vivo. Our results demonstrate the potential of 3D sonography as a technique for visualization of anatomy. Color flow data offer direct access to the vascular system, facilitating 3D analysis and display. 3D sonography offers potential advantages over existing diagnostic studies in that it is noninvasive, requires no intravenous contrast material, offers arbitrary plane extraction and review after the patient has completed the examination, and permits vascular anatomy to be visualized clearly via rendered images.