Eclipse TP algorithm guide (non eMC) Flashcards

1
Q

does Acuros use relative electron density curve or relative mass density curve

A

relative mass density

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2
Q

how are HU values outside of the curve handled in the different algorithms?

A

AAA-assigns max value. Warning
Acuros- if small enough volume, converts to a material. Otherwise, prevents calc until high density is assigned to a structure
-MRDC and FTDC- aaigns max value. No warning
-eMC- assigns max value. Warning

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3
Q

calc options for AAA and Acuros

A

● Calculation resolution
● Calculation resolution for SRS and HyperArc plans
● Heterogeneity correction
● Field normalization
● Angular resolution in conformal arc and VMAT calculations
● Dose reporting mode (Acuros XB only)
● Plan dose calculation (Acuros XB only)
● GPU calculation (Acuros XB only)
● Automatic high-density material (Acuros XB only)
● Maximum automatic high-density volume in cm3
(Acuros XB only)

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4
Q

dose matrix for AAA vs Acruros

A

Acuros is cartesian grid
AAA is divergent

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5
Q

grid resolution in axis perpendicular to image slices

A

AAA and Acuros XB adapt the grid resolution to
ensure that the dose is always calculated exactly on the image slices. If the slice thickness is
larger than the defined resolution, AAA and Acuros XB may calculate the dose on dose planes
between the image slices. If the slice spacing is smaller than the defined resolution, AAA and
Acuros XB may skip calculating the dose on some slices

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6
Q

modeled photon sources

A

: primary photon source, second photon source, electron contamination source, and
photons scattered from the hard wedge (wedge scatter source)

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7
Q

parameters required for modelling of primary source

A

-photon energy spectrum
-mean radial energy
-intensity profile (ie. profile)

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8
Q

limitations of AAA in lung

A

-For 4 MV to 6 MV energies and field sizes larger than or equal to 5×5 cm2
, AAA tends to
underestimate the dose in lung and overestimate the dose in water-equivalent tissue after the
lung. F

-For 10 MV to 20 MV energy modes and field sizes smaller than or equal to 5×5 cm2
, AAA tends
to overestimate the dose in lung.

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9
Q

accuracy of AAA and acuros for static MLC fields

A

-For 18 MV, AAA and Acuros XB tend to underestimate the dose at shallow depths for certain
static MLC shapes

-For 6 MV, AAA and Acuros XB may underestimate the dose at large depths (larger than or equal
to 20 cm) for certain static MLC shapes.

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10
Q

do you measure output factors for small fields in eclipse?

A

Output factors from 3×3 cm2
up to the maximum field size deliverable with the machine.
Output factors for field sizes 1×1 cm2
and 2×2 cm2
can be included, if desired. However,
these will not affect the calculation results for small MLC collimated fields in treatment
units, where MLC is located below the jaws (for example Varian). This is because the
backscatter in these cases is determined from the size of the jaw opening. If small jawcollimated fields are used in the treatments, the inclusion of output factor measurements
for these field sizes may improve the accuracy.

Note also that depth dose curve and profile measurements for
field sizes smaller than 2×2 cm2
are ignored by the configuration program.

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11
Q

objecrive function for photons

A

2 terms:
-total gamma error
-f penalties for noise, an increasing mean energy curve and an
increasing intensity profile (outside the field edge), and for unphysical second source
parameters

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12
Q

sigma parameters

A

smoothing factors for the electron contamination

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13
Q

scatter kernels in AAA

A

-fromEGS MC
- A polyenergetic scatter kernel is constructed as a weighted sum of the monoenergetic
scatter kernels. During the 3D dose calculation these kernels are scaled according to the
densities of the actual patient tissues determined from the CT images.

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14
Q

how does AAA convolution work?

A

The 3D dose distribution is calculated from separate convolutions for the primary photon source,
second photon source, wedge scatter source and contaminating electron source. The
convolutions are performed for all finite-sized beamlets that comprise the clinical broad beam.
The final dose distribution is obtained by a simple superposition of the individual beamlet
contributions

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15
Q

heterogeneity corrections in AAA?

A

-radiological depth is scaled
-also lateral density scaling

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16
Q

Acuros calculation steps

A
  1. photon beam source model
  2. ray tracing of beams into the patient
  3. scattered photon fluence calculation
  4. collided electron fluence calculation
  5. dose calculation
17
Q

what does acuros XB do?

A

Acuros XB solves the time-independent
three-dimensional system of coupled Boltzmann transport equations (LBTE)

18
Q

assumptions in acuros Botlzmann equation

A

. Both charged pair production secondary particles are assumed to be electrons instead
of one electron and one positron. Also, the partial coupling technique is assumed, whereby
photons can produce electrons, but electrons do not produce photons. Regarding the latter, the
energy from photons produced by the electrons is accounted for, but assumed to be deposited
locally.

19
Q

computational grid in acuros

A

spatially variable; the local
element size is adapted to achieve a higher spatial resolution inside the beam, with reduced
resolution in lower dose and lower gradient regions outside the beam penumbra.

20
Q

discretization in Acuros

A

-angular, energy, spatial

21
Q

output dose grid control in accuros

A

Regardless of the output grid size, Acuros XB will account for the effects of photon and electron
transport throughout the full CT extents on the dose within the output dose grid. However,
Acuros XB will reduce the spatial resolution external to the output dose grid to reduce the
calculation time

22
Q

acuros discretization errors

A

energy= solution bias
angular= ray effects
spatial= local solution over/under shooting

23
Q

MRDC algorithm

A

-multi-resolution dose calculation
-fast dose estimation inside PO
-convolution superposition
-Finer resolution is used close to the location of the primary interaction, while much lower
resolution is used to compute the scatter component for larger distances

24
Q

FTDC algorithm

A

-fourier transform dose calculation
-convolution/superposition dose
calculation algorithm optimized for speed.
-uses fast fourier transform to calc convolution

25
Q

objectives in optimizer

A

dose-volume objectives
smoothing objectives
MU objective
normal tissue objective

26
Q

aperture shape controller

A

ASC favors apertures of minimal local curvature

27
Q

what method does PO use?

A

gradient search method. The gradient search is divided into two phases:
gradient evaluation and line search. Gradient evaluation generates the gradient direction and the
gradient length, and line search evaluates the objectives on a line segment along the gradient
and finds the minimum along the line segment

28
Q

progressive resolution

A

The angle resolution of the dose calculation segments gets more accurate as the optimization
progresses, and in consequence, the dose also gets more accurate. The number of control points
remains the same during the whole optimization.

29
Q

jaw tracking

A

dynamically moves the collimator jaws during beam-on to keep them as close to the
actual MLC aperture as possible. This reduces leakage between the MLC leaves. T

30
Q

explain rapid plan

A

DVH estimation algorithm is used for creating and applying DVH estimation models to be used in
treatment planning with RapidPlan. The main purpose of the DVH estimation algorithm is to
estimate what would be an achievable Dose-Volume Histogram (DVH) for various critical organs.
The estimations are based on the actual DVHs achieved in earlier planned patient cases. These
estimated DVHs can be translated into optimization objectives. The optimization objectives are
set so that the optimizer tries to achieve the estimated DVHs

31
Q

Multi-Criteria Optimization-Based Trade-Off
Exploration

A

a vector of objective functions is optimized instead of a
single objective function, as described in the equation below. Contrary to optimization of a single
objective function, no single best objective function value exists, but a set of best-compromise
points which constitute the Pareto surface of the problem.

32
Q

why measure cutout factors?

A

to validate your model since cutout factors are not modelled in eMC

33
Q

metrics of quality for electron beams

A

DTA
R50 (mm)

34
Q

Bremsstrahlung contribution to electron treatment

A

< 5 %

35
Q

where do the photons from electron interactions come from?

A

Bremss

36
Q

how decent is it to approximate secondary photons as going in same direction as electrons in eMC?

A

Bremss < 5 % of dose, seems reasonable

37
Q

why use higher resolution dose grid for low energies?

A

smaller scatter interactions- harder to model
-need more histories to bring uncertainty down

38
Q

remember difference between systemic bias vs uncertainty

A

uncertainty can be improved with more histories
bias is an inaccuracy (from approximations)