Topic 12 Flashcards

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1
Q

Gamma Camera Planar Performance Testing

A

Three levels of Performance Measurements • Manufacturer Characterisation • Acceptance Testing – Performed within a department before clinical use • Quality Assurance / Quality Control – Routine periodic testing to ensure good system performance

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2
Q

Testing Standards

A

National Electrical Manufacturers Association (NEMA) – American body although accepted worldwide – Lab environment tests to specify equipment performance and allow comparability between systems • Medicines and Healthcare products Regulatory Agency (MHRA) – UK Regulatory Authority – EU (EMEA, CE Mark), US (FDA) • Institute of Physics and Engineering in Medicine – UK Medical Physics Body – Suggests to equipment users tests and their frequency

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3
Q

Commonly Performed Planar Measurements

A

Intrinsic (Uncollimated) Uniformity • Intrinsic Spatial Resolution • Intrinsic Spatial Linearity • Intrinsic Energy Resolution • Count Rate Performance • System (Collimated) Uniformity • System Spatial Resolution (no scatter) • System Sensitivity

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4
Q

Making Sense of a Measurement

A

Radionuclide • Energy Window • Scatter Included ? • Collimator (System Measurements) • Areas of Camera Used – Useful Field of View (UFOV) – Central Field of View (CFOV) – 75% of UFOV • Count Rate / Count / Count Density • Pixel/Matrix Size

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5
Q

Uncertainty on Number of counts

A

The process of Radioactive decay can be described using Poisson statistics • In Poisson statistics – The standard deviation = square root of mean • Example of count uncertainty: – A pixel in a 64 x 64 array has 100 counts – Standard deviation of this measurement is 10 counts (10%) – Moving to 128 x 128 matrix and equivalent count density would give 25 counts in a pixel with s.d. = 5 counts (20%)) • Reduction of pixel size has an adverse effect on uncertainty / noise.

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6
Q

The definition of uniformity

A

The variability of the observed count distribution in the gamma camera from a uniform source – Intrinsic: Without a collimator – Extrinsic or System: with a collimator attached.

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7
Q

Causes of non-uniformity

A

Non-uniform detection efficiency across crystal -

different PMT (energy) gains -

positioning non-linearities -

Optical coupling between PMT and crystal Collimator imperfection

Damaged septa

Uneven hole sizes and angulation errors

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8
Q

2 types of Intrinsic uniformity

A

Integral uniformity and differential uniformity

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9
Q

What is integral uniformity?

A

Integral uniformity assesses GLOBAL non-uniformities

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10
Q

Integral uniformity, how do you calculate it?

A

IU = (max-min/max+min) x100

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11
Q

How do you calculate differential uniformity?

A

DU = (Max-Min/Max+Min) x100

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12
Q

What is differential uniformity used to assess?

A

REGIONAL non-uniformities

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13
Q

Why can we never 0% uniformity?

A

because of poisson statistics

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14
Q

What is intrinsic spatial resolution limited by?

A

Limited by: -statistical fluctuation of light photon distribution PMT, and PMT amplification. - Multiple scattering by gamma photon within the detector

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15
Q

What is intrinsic spatial resolution improved by?

A

Improved by; - Thinner crystal (less light spread) - More, smaller PMTs - Higher gamma ray energy (more light photons produced) - Signal processing and position calculation algorithms

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16
Q

How can we determine the intrinsic spatial resolution

A

get a mask with a slit and get FWHM OR FWTM (TENTH MAX)

17
Q

How can we determine Intrinsic spatial linearity?

A

Place the mask with slits, and in each row (column) measure deviation of peak count from best line fit. we can do this differentially or integrally.

18
Q

How can you determine the intrinstic spatial linearity differentially and integrally?

A

Differential - standard deviation of difference between peak locations and fit (typically < 0.2mm) Integral- maximum difference between peak location and fit (typically < 0.4mm)

19
Q

Energy resolution calculation again?

A

( FWHMx100 / peak energy ) %

20
Q

Better energy resolution allows better discrimination of ______

A

scattered counts

21
Q

What is count rate performance

A

Count rate performance characterizes a scintillation camera’s ability to accurately function at count rates which are near the maximum rate of camera operation. (basically if a gamma ray is being processed a second gamma ray cannot be processed after that in what is known as the “deadtime”)

22
Q

What types of deadtime are there?

A

Paralysable ( the gamma ray is ignored and the deadtime is not extended) and non paralysable (deadtime is extended from subsequent gamma ray).

23
Q

Gamma cameras are paralysable or nonparalysable?

A

Paralysable

24
Q

What does this graph show?

A

The count rate performance

The black line is the ideal line. The grey line is how the gamma camera system responds due to the deadtime effects at the end.

25
Q

why do we often use collimator in place when we measure the system?

A

Closer to “Real” imaging

BUT: (have to say what collimator we are using)

Scatter often included

Higher activity sources often needed - sensitivity greatly reduced with collimator

26
Q

problem with point source to measure System uniformity?

A

Point source would be seen as a (blurred point) with collimators

27
Q

Spatial resolution limited by?

A
  • Statistical fluctuation of light photon distribution between PMT, and PMT amplification
  • Multiple scattering by gamma photon within detector
28
Q

What is spatial resolution improved by?

A
  1. Thinner crystal (less light spread)
  2. More, smaller PMTs
  3. Higher gamma ray energy (more light photons produced)

• Energy Resolution ∝ 1/(E)1/2

  1. – Signal processing and Position Calculation Algorithms