Multidetector CT/Helical CT and Image Characteristics
Medical Radiation Sciences - Multidetector CT/Helical CT Notes
Overview
Source: Loyalist College Medical Radiation Sciences 1 (MRAD 1000)
Focus: CT Image Characteristics, Quality, and Technical Parameters.
Review of CT Generations and Key Concepts
**Key Topics:
CT Generations
kVp, mAs, Focal Spot
Filtered Back Projection (Filters)
X-ray Linear Attenuation Coefficient**
Required Readings
Bushong, Chapter 27, Pages 373-377, 380-382, 384-390
Key Terms
MSCT: Multi-Slice Computed Tomography
Modulation: Adjustment of X-ray tube current in real time during scan
Contrast Resolution: Ability of a CT scanner to differentiate between tissue densities
Spatial Resolution: Ability of the CT scanner to differentiate between two closely spaced objects
Objectives
Describe Multi-Detector CT in 4, 16, and 64 Slice contexts.
Apply the advantages of higher slice scanners to clinical applications.
Understand technique selection in CT and its effect on patient dose and image quality.
Describe CT image characteristics including image matrix, Hounsfield units, WW/WL.
Connect various CT settings to resulting image quality regarding spatial resolution, contrast resolution, noise, uniformity, and linearity.
Multi-Detector CT Explained
Mechanism: While the x-ray tube rotates, the patient moves through the plane of the rotating x-ray beam. Data is collected continuously allowing reconstruction of an image at any z-axis position along the patient.
Comparison: Multi-Slice vs Single Detector Array
Single Slice Detector Array: One-dimensional; consists of many detector elements arranged in a single row.
MSCT: Uses multiple rows of detectors allowing collection of more data simultaneously.
Multi-Slice Detector Configurations
Configuration Details: Number of data collection channels and section thickness can be configured via electronic binning of detector elements.
Example: A 4-slice scanner with a detector width of 0.5 mm can yield various slice thicknesses through binning (e.g., 4 x 0.5 mm, 2 x 1 mm, or 1 x 2 mm).
Data Acquisition Rate
Slice Acquisition Rate (SAR): Measures efficiency of MSCT.
Formula:
Larger volumes of tissue can be imaged quickly—possible to image from head to toe in a single breath-hold.
Formula for Z-axis coverage: where:
$W$ = slice width
$T$ = imaging time
$B$ = pitch
Multi-Slice Scanner Variants
4-Slice Scanners: Initial limitations allowed collection of 4 slices simultaneously.
Flexibility in detector configurations presented by binning.
16-Slice Scanner: Introduced in 2002, capable of capturing thinner slices.
The inner 16 detector elements are half the size of the outer, allowing thinner simultaneous acquisitions.
64-Slice Scanner: Introduced in 2005, capable of up to 40 mm wide beams, which can increase scatter reaching detectors and affect low-contrast detection.
Specifications of 64-Detector CT Scanners
Example Scanner Specifications:
GE LightSpeed VCT: 64 x 0.625 mm, Total z-axis detector length 40 mm, Gantry rotation time 0.35 s
Philips Brilliance 64: 64 x 0.625 mm, 40 mm, 0.33 s
Siemens Sensation 64: 32 x 0.6 mm, 28.8 mm, 0.33 s
Toshiba Aquilion 64: 64 x 0.5 mm, 32 mm, 0.33 s
Advanced Scanners Beyond 64 slices
Cardiac Imaging Applications: Short scan times, enabling chest scans in under 5 seconds with devices like 128, 256, and beyond scanners.
Common installations in Canada include 128 multi-detector scanners.
Cone Beam Effect (MSCT)
Definition: Associated with the divergent nature of the x-ray beam. Wider exit beam width can yield different attenuation measurements across tissues, potentially causing streaking for thicker slices.
Advantages of Higher Slice Scanners (MSCT)
**Benefits:
Increased speed and volume coverage
Improved spatial resolution
Efficient use of the x-ray beam
Decreased patient dose
Enables cardiac CT imaging**
Cardiac Multi-Slice CT
Optimal Scanning Time: During motionless heart window (typically diastole). Data collection is electrocardiographically gated to reduce motion artifacts.
Gating Mechanisms: Two approaches: retrospectively (higher radiation) and prospectively (reducing dose but reliant on regularity of heart motion).
Technique Selection in CT
**Key Parameters:
kVp:** Typically set between 80-140 (commonly 100-120).
mA: Range from 28 to 500.
mAs: Generally varies from 28 to over 1000.
Tube Modulation: Automatic Tube Current Modulation (ATCM) for maintaining consistent image quality; includes spatial and temporal modulation.
Pitch and Slice Thickness
Pitch: Measure of the relationship between patient couch movement and x-ray beam width expressed as ratios. Increasing the pitch above 1:1 increases tissue volume imaging efficiency.
Formula and Practical Examples:
Thickness influences the amount of detected x-rays.
Example Calculations: Calculating tissue imaged based on parameters with given formulas.
CT Image Characteristics
Image Matrix and Hounsfield Units: Each pixel represents a volume (voxel) related to tissue density and brightened via Hounsfield Units, ranging from -1000 for air to +3000 for dense bone.
Field of View (FOV): Diameter of image reconstruction, affecting pixel size. Increasing matrix size for a fixed FOV reduces pixel size and enhances detail.
Window Width/Level: Post-processing techniques to improve image interpretability.
Assessing CT Image Quality
Five Principal Characteristics:
Spatial Resolution
Contrast Resolution
Noise
Linearity
Uniformity
Spatial Resolution
Defined by degree of blurring at sharp interfaces; improved by thinner slice thickness; affected by pixel size.
Contrast Resolution
Ability to differentiate small variations in density, beneficial in small structures.
Noise
Variability in pixel values inherent in imaging, influenced by factors like kVp, mA, and patient dose.
Conclusion
Understanding the detailed mechanisms and parameters involved in multi-slice CT, including technical specifications, imaging characteristics, advantages and disadvantages, is critical for optimizing image quality, enhancing patient safety, and informing clinical decision-making.
Key Takeaways
MSCT represents multiple rows of parallel detectors enhancing imaging efficiency.
Reconstruction algorithms counteract artifacts resulting from the cone beam effect.
Advances in detector counts (4-64 and beyond) have reduced imaging times and improved quality.
References
Bushong, S. C. (2021). Radiologic Science for Technologists: Physics, Biology, and Protection. Elsevier.
Goldman, L. W. (2008). Principles of CT: Multislice CT. Journal of Nuclear Medicine Technology, 36(2), 57–68.