Image reconstruction: Part 1 - understanding filtered back projection, noise and image acquisition.

Area of Science:

• Medical Imaging
• Radiology
• Computed Tomography

Background:

• Computed tomography (CT) image reconstruction is evolving, with Iterative Reconstruction (IR) emerging as a potential replacement for standard Filtered Back Projection (FBP).
• IR is gaining attention for its ability to reduce radiation doses and enhance image quality, particularly in cardiovascular CT.
• Concerns regarding radiation exposure and image fidelity in cardiovascular imaging drive the adoption of advanced reconstruction techniques.

Purpose of the Study:

• To review fundamental CT scanning principles.
• To describe the Filtered Back Projection (FBP) image reconstruction method.
• To identify sources of image noise that Iterative Reconstruction (IR) may mitigate.

Main Methods:

• Review of established principles in computed tomography (CT) image acquisition.
• Explanation of the Filtered Back Projection (FBP) algorithm.
• Analysis of physical processes contributing to image noise in CT.

Main Results:

• Understanding CT principles and FBP is crucial for appreciating IR's strengths and limitations.
• Image noise originates from various physical processes that IR techniques aim to compensate for.
• This foundational knowledge empowers cardiovascular imagers to better evaluate reconstruction methods.

Conclusions:

• This paper provides essential background on CT image reconstruction for cardiovascular imagers.
• Familiarity with FBP and noise sources enhances understanding of IR's advantages.
• The insights gained will aid in appreciating the nuances of various IR techniques discussed in subsequent research.