CT AEC Part 1 - automatic mA modulation

Module Learning Objectives

  • Critically reflect on the relationship between the physical principles of computed Tomography (CT) and the design and applications of CT technology.

  • Critically appraise a broad range of CT applications and protocols.

  • Evaluate complex issues in a systematic and creative manner.

Session Objectives

  • Patient size and shape.

  • Tube Current Modulation

    • AEC (Automatic Exposure Control)

    • How it works

    • System differences

    • Tips, tricks, and pitfalls

Patient Size Metrics:

  • Weight

  • Height

    • BMI (Body Mass Index)

  • Diameter

    • Measured from scout view

  • Circumference

    • Measured pre-scan

Patient Size In Real Terms

  • BMI data from CT Lung Screening Trial in Leeds (55-80 age range)

Dose Issues with Specific Patient Types

  • Paediatrics

  • Thin patients

  • Elderly

  • Obese

  • Scans through both the thorax and abdomen

  • Scans for patients with regular follow-up

  • Major trauma

Size vs. Attenuation

  • Which is more important in imaging?

  • Why?

Attenuation Variation Along Patient

Attenuation Data from Scout View

Helical Scan Considerations

  • Fixed tube current:

    • What will we get if we use a fixed tube current for this scan?

    • Why or when might we do this?

  • Alternative: Automatic Tube Current Modulation (ATCM)

The Problem: Patient Size Variation

  • No patient is a 'standard' size.

    • What is the supposed "standard" adult male patient size? (70kg)

    • Is that the "average" patient size?

Patient Size/Shape Problem

  • Patients are different shapes & sizes.

  • Difficult to achieve constant Image Quality (IQ).

  • Actually obtain:

    • Varying noise levels throughout a scan

    • Varying noise levels from patient to patient

  • Potential for missing detail.

  • Potential for incorrect dosage.

AP & Lateral Attenuation Changes

  • X-ray tube and detector positions influence attenuation.

Automatic Exposure Control (AEC)

What is AEC?

  • A system that automatically adjusts exposure parameters according to patient size/attenuation.

  • Types:

    • Automatic mA modulation

    • Organ dose modulation

    • Automatic kV selection

Automatic mA Modulation

  • Aims to achieve broadly consistent image quality throughout a scan.

    • Accounts for longitudinal and rotational changes in attenuation.

  • Aims to achieve broadly consistent image quality for all patients.

    • Accounts for changes in patient size & attenuation.

  • Adjusts tube current (mA) based on scout scan to achieve image quality level requested in protocol.

How It Works (Automatic mA Modulation)

  • Initial exposure parameters determined using attenuation profiles obtained from scout.

  • mA modulation may be programmed to take account of angular variations in patient shape, e.g., shoulders.

  • Exposure may be modified during acquisition using feedback from previous detector readings at the same angle.

    • Feedback during scan adjusts the mA in real-time based on changes in detector readings as patient size varies throughout the scan.

Benefits of Varying mA

  • Vary mA according to patient size.

  • Vary mA along patient length.

  • Vary mA during rotation.

  • Benefits:

    • ‘Consistent’ noise in all images.

    • Artifact reduction.

    • Significant dose reduction (potentially).

    • Tube heat capacity conserved.

Automatic mA Control

  • Tube current is adjusted during scanning to compensate for attenuation differences.

  • Dose applied to patient only where needed, avoiding dose where it isn’t.

mAs Adjustment Theory

  • Theory for x-ray CT:

    • Half Value Thickness in tissue \sim 4cm

    • To maintain constant noise, double mAs for every extra 4 cm of tissue.

    • mAs<em>new=mAs</em>original2(ΔDiameter4)mAs<em>{new} = mAs</em>{original} * 2^{(\frac{\Delta Diameter}{4})}

AEC System Differences

  • Two types of AEC system:

    • Constant noise:

      • Strong adjustment of mA with patient size.

      • Yields same image quality (noise) for all patients.

      • Large variation in doses across range of patient sizes.

      • Used by Canon, GE & FujiFilm

    • Adequate noise:

      • Asserts that better image quality (lower noise) is needed for small patients due to lack of internal fat – higher noise can be accepted for large patients.

      • More gentle adjustment of mA with patient size.

      • Smaller range of dose across range of patient sizes.

      • Used by Siemens & Philips & GE (!)

Control Methods for CT Automatic mA Modulation

1) Standard Deviation (SD) of CT Numbers

  • Acceptable image quality is based on acceptable noise level (SD) in a region of patient-equivalent water phantom.

  • Higher standard deviation = higher noise, therefore lower dose (allowing for limits of scanner).

  • mA modulated based on the difference between the phantom and the patient to achieve the pre-specified image quality.

  • Constant Noise AEC system.

Canon SUREExposure 3D
  • Scannogram(s) used to convert patient into series of water equivalent cylinders.

  • Scanner works out mA needed to generate a reconstructed reference image of each water-equivalent diameter cylinder that has a noise level equal to your specified SD value.

  • Reference image is reconstructed using the specified SureIQ settings, including the reference reconstruction filter.

  • Changing the reference recon filter strongly influences how much mA is needed to achieve the specified SD level, therefore affects dose!

  • For example, changing it from FC11 to FC18 will double the dose to every patient.

  • Operator can set maximum mA value for each examination.

  • Dose information prediction available during scan planning.

  • Rotational (x-y) modulation can be switched on or off separately from z-axis modulation.

FujiFilm IntelliEC
  • Scannogram(s) used to convert patient into series of water equivalent cylinders.

  • Scanner works out mA needed to generate a reconstructed reference image of each water-equivalent diameter cylinder that has a noise level equal to your specified SD value.

  • Reference image is reconstructed using the specified reconstruction settings, including the level of iterative reconstruction.

  • Changing the iterative recon level strongly influences how much mA is needed to achieve the specified SD level, therefore affects dose!

  • Operator can set min and max mA value for each examination.

  • Dose information prediction available during scan planning.

2) Noise Index (NI)

  • Acceptable image quality is based on a Noise Index (acceptable noise) set from a patient equivalent elliptical water phantom.

  • NI relates to sd in phantom rather than in patient.

  • NI must be matched in every image through the scan series.

  • Constant Noise AEC system.

  • GE

    • Auto mA

      • Z-axis modulation only

    • Smart mA

      • Combined modulation

    • Minimum and maximum mA values specified by user.

    • Data gathered from scout – most recent scout view used.

    • Modulates 4 times per rotation.

    • Some small ramp time in adjusting mA between the 4 sectors.

Size-adjusted noise index (SANI)
  • Available as part of Auto Prescription software

    • Automatically adjusts prescribed NI according to patient size

      • "Allows users to better tailor noise and dose levels to their preference"

    • Higher NI for large patients, lower NI for smaller patients

  • Adequate noise AEC system!

3) Reference Case / Image

  • An adequate ‘ideal reference image’ is selected from an existing clinical case

  • mA is then modulated to match the image quality in this image

  • Set up so that 90% of examinations will have noise levels less than or equal to the reference image

    • 10%, therefore, have a higher noise level

  • Adequate Noise AEC system

Philips
  • DoseRight 3D

    • ACS – Automatic Current Selection (patient size)

    • D-Dom (angular)

    • Z-Dom (longitudinal)

    • Can’t use all three together

  • iPatient

    • Range of reference patient sizes

    • Patient-specific optimisation of image quality and dose

    • Dependent on patient type (age, size, fast exam needed?) and diagnostic task

  • Attenuation data from SPR

    • Matches patient to a water equivalent diameter

4) Image Quality Reference mAs

  • A reference effective mAs (mA×gantry rotation time/pitchmA \times gantry \ rotation \ time / pitch) is selected for an average sized patient (75kg) for a particular examination

  • Provides adequate image quality based on the reference mAs

  • Allows higher image noise for larger patients and less for smaller ones

  • Adequate Noise AEC system

Siemens
  • CAREDose 4D

    • assesses patient attenuation from topogram and plans mA adjustment

    • x-y modulation is controlled in near real-time, from information from the previous 180º of rotation

    • Very weak to very strong compensation settings can be selected to adjust for patient attenuation

    • Functionality is body region dependent

  • The determination of quality reference mAs according to patient size is not a linear function.

System Summary

Vendor

AEC system

AEC parameters

Noise adjustment

GE

AutomA 3D

Noise Index (NI)

User specified mA range Size-adjusted noise index Constant noise Adequate noise

Philips

DoseRight

Reference image or reference patient size, and mAs/slice for standard patient

Can specify mA range Adequate noise

Siemens

CAREDose 4D

Quality reference mAs for standard patient

Adequate noise

Canon

SUREExposure 3D

Image standard deviation (SD)

User specified mA range Constant noise*

FujiFilm

IntelliEC

Image standard deviation (SD)

User specified mA range Constant noise*

*some compensation at extremes of patient size

Summary

  • Many systems specifying a level of image quality, some specify a dose level for a standard patient/phantom size

  • Difficult to set up comparable protocols if you have systems from different manufacturers

  • Very important to assess image quality when setting up AEC / auto mA systems

    • Dose alone does not tell the whole story

    • How might you objectively measure image quality?

Image Quality Measurement

  • ROI placed in liver

  • Record CT# (HU) and noise (s.d.)

  • Measure AP & Lat size

  • Plot noise against size

Effect on Patient Dose

  • Red is constant noise system

  • Blue, green, and orange are adequate noise systems with different implementations

Scanning Off End of Scout

  • mA modulation may do funny things:

    1. apply minimum mA specified in protocol

    2. apply mA used for previous rotation

    3. apply maximum mA in protocol (or max possible)

    4. apply default manual mA

  • ALWAYS perform scout longer than intended helical/axial scan

    • System then has sufficient information to calculate how to modulate tube current

Tips for Optimising AEC Use - Scout

  • Always scout longer than length you need to scan

  • Additional dose from extra few cm of scout may be saved by AEC knowing what to do

  • Better to re-scout than scan off the end of a short scout

Tips for Optimising AEC Use - Centering

  • Ensure patient is properly centered

  • AEC chooses mA values based on patient size in topogram

  • Up to 80% increase in dose for 7cm table offset!!!

  • Accurate positioning is essential when AEC is used

Dose Variation with Couch Height

Auto Positioning Systems

AEC Use - Arm Positioning

  • Scan chests with arms up wherever possible

  • 83% increase in mA

Which Scout View?

  • Delivered dose can depend on which scout view is used for mA planning

  • Measured attenuation (projection area) different between to views, hence different mA calculations

  • Will result in some image quality differences

  • GE: AP vs. Lat scout view

    • 16% lower dose when using lateral scout view

Effect of Scan Direction

  • Negligible difference in overall CTDI

  • Potentially marked differences in organ dose

    • e.g. breast dose in this example

  • Effect depends on pitch

When Not to Use Automatic mA Modulation?

  • Extremities

  • Low dose follow ups (e.g. hydrocephalus)

  • Low dose lung nodule assessments

References

  • Overview, practical tips and potential pitfalls of using AEC in CT: Siemens CARE Dose 4D, Marcus Soderberg, 2016

  • Setting up CT automatic tube current modulation systems, Martin & Sookpeng, 2016

  • Automatic exposure control in computed tomography an evaluation of systems from different manufacturers, Soderberg and Gunnarsson, 2010