NMT Boards – PET/CT & Auxiliary Equipment

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Last updated 11:16 PM on 10/8/26
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177 Terms

1
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Energy and number of photons produced by positron annihilation

Two 511 keV photons

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Angle between the two annihilation photons

~180° (180° ± 0.25°)

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What PET uses instead of a lead collimator

Electronic collimation (coincidence detection)

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Line connecting two detectors that register a coincidence

Line of response (LOR)

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Typical PET coincidence timing window

~4–12 nanoseconds

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Positron range blur of F-18 (RMS)

~0.2 mm

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Positron range blur of Rb-82 (RMS)

~2.6 mm

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Why long positron range (Rb-82) worsens PET resolution

PET images annihilation site, not decay site

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Coincidence event where both unscattered photons from one annihilation are detected

True coincidence

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Coincidence event where one or both photons Compton-scatter before detection

Scatter coincidence

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Coincidence event from two unrelated annihilations paired by chance

Random (accidental) coincidence

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Coincidence event where 3 or more detectors trigger in one window

Multiple coincidence (usually rejected)

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Formula for random coincidence rate

R = 2τ × N1 × N2

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Randoms scale with injected activity how

With the square of activity

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PET prompts formula

Prompts = trues + randoms + scatters

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PET delayed window used for randoms estimation

60–100 ns

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Corrections applied to PET data

Randoms, attenuation, scatter, dead time, decay

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BGO crystal decay time

~300 ns

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LSO crystal decay time

~40 ns

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NaI(Tl) crystal decay time

230 ns

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Light output of BGO relative to NaI

15%

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Light output of LSO relative to NaI

75%

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PET crystal with the highest stopping power

BGO

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PET crystals that enable time-of-flight

LSO and LYSO

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Dopant used in LSO, LYSO and GSO crystals

Cerium

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Properties of an ideal PET crystal

Dense, high Z, high light output, short decay time

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Solid-state PET photodetector replacing PMTs

SiPM (silicon photomultiplier)

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What time-of-flight PET measures

Arrival-time difference between the two photons

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Modern TOF timing resolution

~450–500 picoseconds

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Patients who benefit most from TOF PET

Larger patients

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Does TOF replace attenuation correction

No, still needs CT or MR attenuation map

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Sensitivity gain of 3-D (septa out) vs 2-D PET

4–6× higher

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Scatter fraction in 2-D vs 3-D PET

~10–15% vs ~30–40%

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Three fundamental PET resolution limits

Positron range, crystal size, non-collinearity

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Non-collinearity blur scales with

Ring diameter

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Typical PET vs SPECT spatial resolution

~4 mm vs ~12 mm

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PET sensitivity compared to a gamma camera

50–100× more sensitive

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PET bore diameter

56–70 cm

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PET axial FOV per bed position

15–18 cm

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Bed positions for a whole-body PET

5–8

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Half-life of C-11

20.4 min

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Half-life of N-13

9.96 min

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Half-life of O-15

123 s

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Half-life of F-18

110 min

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Half-life of Ga-68

68 min

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Half-life of Rb-82

76 s

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Half-life of Ge-68

271 days

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Daily PET QC scan with no patient in the field

Blank scan

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Source used for the PET blank scan

Ge-68 rod or cylinder (sealed)

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Duration of the daily PET blank scan

5–10 minutes

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Blank scan sinogram shows a thin dark diagonal line

Single faulty crystal

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Blank scan sinogram shows a broad diagonal band

Failed detector block or PMT

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PET scan that corrects per-LOR sensitivity variation

Normalization scan

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Frequency and duration of PET normalization

Quarterly, ≥6 hours

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Appearance of poorly normalized PET data

Ring or streak artifacts

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Typical PET energy window for LSO

~425–650 keV

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PET calibration that converts counts to Bq/mL for SUV

Well-counter (absolute activity) cross-calibration

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PET cross-calibration must use

The same dose calibrator used for patient doses

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Relationship of scanner calibration error to SUV error

About 1:1

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Annual PET performance testing standard

NEMA NU-2

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Frequency of PET coincidence timing check

Weekly

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PET artifact causing a cold band at the lung base/diaphragm

Respiratory misregistration

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PET artifact with a bright rim where the patient exceeds the CT FOV

Truncation artifact

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PET artifact from metal or dense contrast

False hot spots (overcorrection)

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Images to review when a PET/CT artifact is suspected

Non-attenuation-corrected (NAC) images

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PET acquisition mode recording every event with a timestamp

List mode

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Gating that extracts the signal from list-mode data without hardware

Data-driven gating

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8-gate vs 16-gate cardiac PET LVEF compared to echo

8 underestimates; 16 matches

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Respiratory gating more robust to irregular breathing

Amplitude-based gating

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4D PET means

Respiratory-gated PET

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Bed motion giving uniform axial sensitivity

Continuous bed motion (CBM)

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SUV formula

Tissue conc ÷ (injected dose ÷ body weight)

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Body weight unit used in SUV

Grams

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SUV of a tracer distributed uniformly with no excretion

1

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Normal liver SUV (internal control)

~1.7–2.7

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Effect of FDG dose infiltration on SUV

Falsely low SUV

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SUV error from using kg instead of g

1,000× error

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SUV example: 70 kg, 10 mCi at scan time, lesion 0.0007 mCi/mL

SUV ≈ 4.9

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FDG uptake time before imaging

~60 min

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FDG mechanism of localization

Glucose analog, trapped as FDG-6-phosphate

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Adult FDG dose

10–20 mCi (370–740 MBq)

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Pediatric FDG dose

0.10–0.14 mCi/kg, min 0.7 mCi

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FDG patient fasting requirement

4–6 hours, water only

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Common US blood glucose limit for FDG PET

200 mg/dL reschedule

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Effect of insulin given too close to FDG injection

Diffuse skeletal muscle uptake

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CT parameter controlling beam quality, penetration and contrast

kVp

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CT parameter controlling beam quantity, noise and dose only

mA (mAs)

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CT noise relationship to mAs

Noise ∝ 1 ÷ √mAs

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mAs relationship to dose

Linear

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CT pitch formula

Table feed per rotation ÷ beam collimation width

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Pitch with 12 mm collimation and 18 mm table feed

1.5

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Effect of pitch >1

Faster, lower dose, worse z-axis resolution

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Effect of thinner CT slices

More noise, less partial volume

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Whole-body effective dose of AC-only vs diagnostic CT

~3–6 mSv vs ~11–20 mSv

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CT filter that evens the beam across the patient

Bow-tie filter

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CT collimators that set slice thickness

Pre-patient collimators

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CT noise from too few x-rays

Quantum mottle

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HU formula

1,000 × (µtissue − µwater) ÷ µwater

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HU of water

0

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HU of air

−1,000