Cross Sectional Imaging Lecture 2: Scanner Operation and Parameter Selection

Module Learning Outcomes

  • Describe and explain the physical principles behind cross-sectional imaging modalities.

  • Understand the impact of different parameter selection options on imaging.

Session Outcomes

  • Understand protocol selection.

  • Recognize key parameters affecting radiation dose and image quality.

  • Appreciate the importance of the clinical question in protocol selection.

Protocol Selection

  • Factors influencing protocol design include:

    • Body area of interest (e.g., chest, abdomen).

    • Field of view (FOV) and the specific areas to be imaged.

    • Various imaging parameters to ensure quality (e.g., kV, mA).

    • More parameters than conventional radiography, including timings for contrast capture.

    • The clinical question guides protocol design (e.g., detecting PE).

    • Importance of minimizing radiation dose.

Protocol Control

  • Set by the radiologist/radiographer based on clinical information.

  • Common acronyms:

    • NCUA (non con unless abnormal)

    • CAP (chest abdomen pelvis).

  • Protocols specify body areas and scan phases.

Scanner Protocol Setup

  • Applications specialists set baseline protocols on new CT scanners.

  • Input from radiographers, leaders, medical physicists ensures consistency.

  • Protocols should remain unchanged unless necessitated by challenging patient scenarios.

Protocols and Clinical Questions

  • The right protocol is crucial for addressing specific clinical inquiries.

  • Challenges arise from incomplete clinical histories or conflicting questions.

Image Quality Types

  1. Spatial Resolution:

    • Ability to distinguish small, separate objects against a background.

    • Measured in line pairs per centimetre (lp/cm).

  2. Contrast Resolution:

    • Differentiating small density differences between objects.

  3. Longitudinal Resolution (Z-axis):

    • Describes pixel attenuation in a 3D voxel.

    • Isotropic imaging aims for equal resolution across dimensions.

    • Thinner reconstructed images can either enhance or hinder detail.

  4. Temporal Resolution:

    • Ability to resolve fast-moving objects, akin to camera shutter speed.

    • Important in specific applications like cardiac CT.

Noise in Imaging

  • Image noise appears as mottle, affecting clarity and quality.

Key Parameters Affecting Image Quality and Radiation Dose

  • kV (Kilovoltage):

    • Higher kV enhances photon penetration and detail but increases radiation dose.

  • mAs:

    • Continuous scan representation; directly correlates with photon quantity.

    • Insufficient mAs leads to noise and lower quality.

    • Modulation through Automatic Exposure Control (AEC).

  • Pitch:

    • Distance table moves per rotation divided by slice thickness.

    • Affects radiation dose and image overlap, with lower pitch offering better quality but requiring higher dose.

  • Slice Thickness:

    • Thinner slices provide greater accuracy but increase radiation exposure.

    • Thick slices average out voxel data, compromising detail.

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CT Image Matrix and Kernels

  • Matrix:

    • 2D grid for pixel arrangement; typically 1024x1024.

    • Scrutinizing matrix usage improves spatial resolution.

  • Kernels:

    • Algorithms applied for enhancing image quality post-acquisition.

    • Different kernels target specific tissues (e.g., high resolution for lungs).

Post Processing Techniques

  • Effective in visualizing and optimizing acquired images.

    • Includes reconstruction for varying slice thickness and density adjustments.

    • Adjusting the window level and width enhances visibility of regions of interest.

Summary of Key Points

  • Clinical questions are decisive for appropriate protocol selection.

  • Protocols encompass parameters defined to optimize image quality.

  • Imaging in CT involves more parameters compared to conventional radiography.

  • Four main types of resolution affect how images are interpreted:

    • Spatial, contrast, longitudinal, and temporal resolution.