Christopher Carson Slack
General Electric
12 Papers
135 Citations
Christopher Carson Slack is an academic researcher from General Electric. The author has contributed to research in topics: Region of interest & Volume (compression). The author has an hindex of 6, co-authored 12 publications.
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Papers
Computer-simulated radiation dose reduction for abdominal multidetector CT of pediatric patients.
Donald P. Frush,Christopher Carson Slack,Caroline L. Hollingsworth,George S. Bisset,Lane F. Donnelly,Jiang Hsieh,Trudy Lavin-Wensell,John R. Mayo +7 more
TL;DR: The results of this computer simulation suggest that accurate abdominal MDCT can be performed in pediatric patients using substantially reduced radiation, depending on the indication for imaging.
194
Patent
Method and system for selecting and displaying medical image data
Christopher Carson Slack
- 04 Dec 2000
TL;DR: In this article, a CT system acquires a succession of 2D slice images which are combined to produce a 3D image data set and serves as an index which enables the operator to select a particular region of interest.
45
Patent
Relevant image data extraction from a medical image data volume
Darin R. Okerlund,Mark E. Woodford,Christopher Carson Slack,James Markvica +3 more
- 03 May 2000
TL;DR: In this article, a method for rapid extraction and visualization of relevant data from a volume of image data includes rapidly producing reduced-fidelity images derived from an image volume, the reduced fidelity images having an adjustable visual parameter.
41
Patent
Methods and apparatus for non-uniform temporal cardiac imaging
Christopher Carson Slack,Jianying Li +1 more
- 12 Dec 2000
TL;DR: In this paper, a method for imaging a heart of a patient utilizing a CT imaging system includes steps of assigning a scanning priority to phases of a representative cardiac cycle of the patient's heart.
16
Patent
Method and apparatus for selecting retrospective reconstruction parameters
Badi Ebrahimifard,Christopher Carson Slack +1 more
- 18 Apr 2000
TL;DR: In this paper, the authors propose a method for reconstructing an image from imaging data using an imaging system configured to accept input from an operator, which simplifies entry of parameters for retrospective image reconstruction by using the operator-entered region of interest as input for automated parameter selection.
15