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WE‐E‐110‐01: Optimization of Image Acquisition and Reconstruction in Multi‐Slice CT
Author(s) -
Yu L,
McCollough C,
Leng S,
Kofler J
Publication year - 2011
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3613393
Subject(s) - image quality , iterative reconstruction , computer science , artificial intelligence , computer vision , collimated light , data acquisition , kernel (algebra) , image (mathematics) , mathematics , optics , physics , laser , combinatorics , operating system
CT scanning protocols, which specify image acquisition and reconstruction parameters, need to be optimized so that minimum radiation dose can be used to achieve sufficient image quality for specific diagnostic tasks. To achieve this goal, the relation among image acquisition parameters, image reconstruction algorithms, image quality, and radiation dose must be clearly understood. This lecture will provide an overview on how to optimize image acquisition and reconstruction parameters in multi‐slice CT. Learning Objectives: 1. Understand how the CT acquisition parameters (helical pitch, collimation, detector configurations, etc.) affect the image quality. 2. Understand how the reconstruction parameters (kernel, slice thickness, etc.) affect the image quality. 3. Understand how to optimize the acquisition and reconstruction parameters for different diagnostic tasks in order to improve image quality or reduce radiation dose.