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IGRT:	
  	
  
MV	
  CBCT	
  Calibra0on	
  and	
  ATP	
  
on	
  Siemens	
  Oncor	
  Linac	
  	
  
By	
  	
  
Vibha	
  Chaswal,	
  Ph.D.	
  
Ac0vi0es*	
  
•  Flat	
  panel	
  2D	
  gain	
  calibra:on	
  and	
  	
  dead	
  pixel	
  
map	
  
•  MVCBCT	
  calibra:on	
  using	
  clinically	
  used	
  and	
  
custom	
  CBCT	
  protocols	
  
•  MVCBCT	
  image	
  quality	
  assessment	
  using	
  
clinically	
  used	
  and	
  custom	
  CBCT	
  protocols	
  

*Performed at UIHC RadOnc as Medical Physics Resident
Flat	
  panel	
  2D	
  gain	
  calibra0on	
  	
  
•  Correc:on	
  for	
  the	
  differences	
  in	
  flat	
  
panel	
  diodes	
  response	
  in	
  2D	
  imaging	
  
•  Without	
  correc:on,	
  an	
  obvious	
  
banding	
  paHern	
  would	
  be	
  visible	
  on	
  
the	
  image.	
  	
  
•  Should	
  be	
  done	
  every	
  4-­‐6	
  weeks.	
  	
  
•  Coherence	
  prac:ce	
  database,	
  
SERVICE	
  PATIENT	
  is	
  used	
  to	
  acquire	
  
port	
  during	
  gain	
  fields	
  at	
  different	
  
photon	
  energies,	
  dose	
  rates,	
  clinically	
  
used	
  SIDs,	
  monitor	
  units	
  and	
  field	
  
sizes.	
  
•  For	
  each	
  SID	
  a	
  treatment	
  site	
  
containing	
  4	
  gain	
  fields	
  is	
  assigned,	
  
and	
  each	
  site	
  can	
  be	
  delivered	
  in	
  a	
  
auto-­‐sequence	
  group.	
  	
  	
  
Flat	
  panel	
  2D	
  dead	
  pixel	
  map	
  
•  Correc:on	
  for	
  non-­‐responding	
  ‘dead’	
  pixels.	
  	
  
•  The	
  grayscale	
  values	
  in	
  the	
  pixel	
  surrounding	
  the	
  dead	
  pixel	
  are	
  
averaged	
  and	
  this	
  value	
  replaces	
  the	
  grayscale	
  of	
  the	
  dead	
  pixel	
  
•  During	
  ATP	
  provided	
  by	
  the	
  manufacturer	
  

Dead pixel map limits (table from Siemens ATP)
MVCBCT	
  calibra0on	
  
Using Geometry Calibration Phantom
MVCBCT	
  calibra0on	
  
• 
• 

Since the Linac rotation suffers with gantry sag, imager’s sag etc, the 3D
projection matrix deviates from a projection matrix model calculated from
transformations between the world and gantry co-ordinates system
The calibration matrices are therefore, obtained from the projection images
of the geometry calibration phantom for each Linac

Geometry calibration co-ordinate system (source: Siemen’s ATP)
MVCBCT	
  calibra0on	
  

• 
• 
• 

Geometry calibration is done every six months or whenever required
A projection imaging dataset of the phantom is acquired using the clinical
CBCT protocol.
On Siemens Oncor machines, a 2000 arc-rotation starting from 2700 to an
end-angle of 1100 is used for MVCBCT acquisition
Acquiring	
  Projec0on	
  matrices	
  
Posi:on	
  phantom	
  using	
  room	
  lasers	
  	
  
Fine-­‐tune	
  posi:oning	
  using	
  x-­‐re:c	
  
Spend	
  sa:sfactory	
  amount	
  of	
  :me	
  
Calibra:on	
  fails	
  oWen	
  due	
  to	
  poor	
  alignment	
  
Take	
  a	
  cone-­‐beam	
  acquisi:on	
  using	
  clinical	
  CBCT	
  
protocol	
  
•  AWer	
  acquisi:on,	
  each	
  phantom	
  projec:on	
  image	
  
is	
  processed	
  to	
  determine	
  the	
  ball-­‐bearings’	
  
posi:ons	
  and	
  sizes	
  rela0ve	
  to	
  the	
  imager’s	
  co-­‐
ordinate	
  system	
  	
  
• 
• 
• 
• 
• 
Post	
  acquisi0on	
  screens	
  
Arrangement of projection images after calibration projection matrix is fitted.

status message for
successful or failed
calibration is displayed.
Failed	
  Calibra0on:	
  many	
  reasons	
  
•  Phantom	
  misalignment	
  
•  Incorrect	
  phantom	
  orienta:on	
  (gantry	
  side	
  
opposite)	
  
•  Object	
  in	
  image	
  (e.g.,	
  level	
  leW	
  on	
  the	
  
phantom	
  base)	
  
•  Incorrect	
  cone-­‐beam	
  protocol.	
  	
  
………..	
  A	
  very	
  set-­‐up-­‐sensi:ve	
  procedure!	
  
MV	
  CBCT	
  image	
  quality	
  
MVCBCT Image Quality phantom and sections for image quality tests in IMA
phantom.

• 
• 
• 
• 
• 
• 

Geometry accuracy
Uniformity
Noise
Spatial resolution
Low contrast resolution, and
High contrast resolution
MVCBCT: Geometric Accuracy
• 
• 
• 
• 
• 

Tests the geometric accuracy of the
MVCBCT reconstruction algorithm
Phantom alignment very critical
Check alignment usig x-retic all along
the white engraved axes lines on the
phantom.
Axial, sagittal and coronal views of the
Adaptive Targeting (AT) task-card are
used to locate the beads of interest.
The beads’ x, y and z positions should
be within ± 2 mm of the actual physical
co-ordinates.
MVCBCT: Geometric Accuracy
expected ranges for
localization of beads

Localized co-ordinates
from a 270-110 cbct
protocol
MVCBCT: Geometric
Accuracy (additional
clinical protocols in
use)
MVCBCT: Image quality: Low contrast resolution section 1
(Clinical relevance of the visualization between this range is visualization of bone, air-cavities, and organs)

Passing criteria
MVCBCT: Image quality: Low contrast resolution section 2
(Clinical relevance of the visualization between this range is visualization of soft-tissue)

Passing criteria
MVCBCT: Image Quality:
Spatial Resolution
Determine smallest visible bar group
Criteria for passing: group 6 (0.3 lp/mm)
MVCBCT: Image Uniformity, Noise and Artifact

Performed using
uniform solid water
insert
standard deviation
and across all ROIs
uniformity w.r.t the
central insert
Thank	
  you!!!!!	
  

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IGRT: MVCBCT Calibration and Acceptance testing Procedure

  • 1. IGRT:     MV  CBCT  Calibra0on  and  ATP   on  Siemens  Oncor  Linac     By     Vibha  Chaswal,  Ph.D.  
  • 2. Ac0vi0es*   •  Flat  panel  2D  gain  calibra:on  and    dead  pixel   map   •  MVCBCT  calibra:on  using  clinically  used  and   custom  CBCT  protocols   •  MVCBCT  image  quality  assessment  using   clinically  used  and  custom  CBCT  protocols   *Performed at UIHC RadOnc as Medical Physics Resident
  • 3. Flat  panel  2D  gain  calibra0on     •  Correc:on  for  the  differences  in  flat   panel  diodes  response  in  2D  imaging   •  Without  correc:on,  an  obvious   banding  paHern  would  be  visible  on   the  image.     •  Should  be  done  every  4-­‐6  weeks.     •  Coherence  prac:ce  database,   SERVICE  PATIENT  is  used  to  acquire   port  during  gain  fields  at  different   photon  energies,  dose  rates,  clinically   used  SIDs,  monitor  units  and  field   sizes.   •  For  each  SID  a  treatment  site   containing  4  gain  fields  is  assigned,   and  each  site  can  be  delivered  in  a   auto-­‐sequence  group.      
  • 4. Flat  panel  2D  dead  pixel  map   •  Correc:on  for  non-­‐responding  ‘dead’  pixels.     •  The  grayscale  values  in  the  pixel  surrounding  the  dead  pixel  are   averaged  and  this  value  replaces  the  grayscale  of  the  dead  pixel   •  During  ATP  provided  by  the  manufacturer   Dead pixel map limits (table from Siemens ATP)
  • 5. MVCBCT  calibra0on   Using Geometry Calibration Phantom
  • 6. MVCBCT  calibra0on   •  •  Since the Linac rotation suffers with gantry sag, imager’s sag etc, the 3D projection matrix deviates from a projection matrix model calculated from transformations between the world and gantry co-ordinates system The calibration matrices are therefore, obtained from the projection images of the geometry calibration phantom for each Linac Geometry calibration co-ordinate system (source: Siemen’s ATP)
  • 7. MVCBCT  calibra0on   •  •  •  Geometry calibration is done every six months or whenever required A projection imaging dataset of the phantom is acquired using the clinical CBCT protocol. On Siemens Oncor machines, a 2000 arc-rotation starting from 2700 to an end-angle of 1100 is used for MVCBCT acquisition
  • 8. Acquiring  Projec0on  matrices   Posi:on  phantom  using  room  lasers     Fine-­‐tune  posi:oning  using  x-­‐re:c   Spend  sa:sfactory  amount  of  :me   Calibra:on  fails  oWen  due  to  poor  alignment   Take  a  cone-­‐beam  acquisi:on  using  clinical  CBCT   protocol   •  AWer  acquisi:on,  each  phantom  projec:on  image   is  processed  to  determine  the  ball-­‐bearings’   posi:ons  and  sizes  rela0ve  to  the  imager’s  co-­‐ ordinate  system     •  •  •  •  • 
  • 9. Post  acquisi0on  screens   Arrangement of projection images after calibration projection matrix is fitted. status message for successful or failed calibration is displayed.
  • 10. Failed  Calibra0on:  many  reasons   •  Phantom  misalignment   •  Incorrect  phantom  orienta:on  (gantry  side   opposite)   •  Object  in  image  (e.g.,  level  leW  on  the   phantom  base)   •  Incorrect  cone-­‐beam  protocol.     ………..  A  very  set-­‐up-­‐sensi:ve  procedure!  
  • 11. MV  CBCT  image  quality   MVCBCT Image Quality phantom and sections for image quality tests in IMA phantom. •  •  •  •  •  •  Geometry accuracy Uniformity Noise Spatial resolution Low contrast resolution, and High contrast resolution
  • 12. MVCBCT: Geometric Accuracy •  •  •  •  •  Tests the geometric accuracy of the MVCBCT reconstruction algorithm Phantom alignment very critical Check alignment usig x-retic all along the white engraved axes lines on the phantom. Axial, sagittal and coronal views of the Adaptive Targeting (AT) task-card are used to locate the beads of interest. The beads’ x, y and z positions should be within ± 2 mm of the actual physical co-ordinates.
  • 13. MVCBCT: Geometric Accuracy expected ranges for localization of beads Localized co-ordinates from a 270-110 cbct protocol
  • 15. MVCBCT: Image quality: Low contrast resolution section 1 (Clinical relevance of the visualization between this range is visualization of bone, air-cavities, and organs) Passing criteria
  • 16. MVCBCT: Image quality: Low contrast resolution section 2 (Clinical relevance of the visualization between this range is visualization of soft-tissue) Passing criteria
  • 17. MVCBCT: Image Quality: Spatial Resolution Determine smallest visible bar group Criteria for passing: group 6 (0.3 lp/mm)
  • 18. MVCBCT: Image Uniformity, Noise and Artifact Performed using uniform solid water insert standard deviation and across all ROIs uniformity w.r.t the central insert