5/2/2011 Disclosure The Use of In-room kV Imaging for IGRT John W. Wong, Johns Hopkins University David Jaffray, Princess Margaret Hospital Fang-fang Yin, Duke University ACMP 2011_jww ACMP 2011_jww Why In-Room Image-Guidance? • • The presenter has – research agreement funded by Elekta – financial interest in cone-beam CT technology To improve the targeting precision and accuracy so that treatment margin from CTV to PTV could be reduced What is In-room Image-Guidance? Use of imaging method in the treatment room while patient stay at the treatment position • To localize, monitor, and track surrogates which are associated to the patient and are of interest to radiation treatment • To generate a list of choices for decision-making and intervention for positioning and modification • To direct how the treatment couch or radiation beam should be modified • Challenges: – uncertain about the target location – uncertain about the target shape – uncertain about the target motion – limitations of tools used for image-guidance ACMP 2011_jww ACMP 2011_jww 1 5/2/2011 TG 104: The role of In-room KV imaging for patient setup and target localization Fang-Fang Yin, Co-Chair, Duke University Medical Center John Wong, Co-Chair, John Hopkins University James Balter, University of Michigan Medical Center Stanley Benedict, Virginia Commonwealth University Jean-Pierre Bissonnette, Princess Margaret Hospital Timothy Craig, Princess Margaret Hospital Lei Dong, M.D. Anderson Cancer Center David Jaffray, Princess Margaret Hospital Steve Jiang, Massachusetts General Hospital Siyong Kim, Mayo Clinic, Jacksonville Charlie Ma, Fox Chase Cancer Center Martin Murphy, Virginia Commonwealth University Peter Munro, Varian Medical Systems Timothy Solberg, University of Nebraska Medical Center Q. Jackie Wu, Duke University Medical Center ACMP 2011_jww * Gigas Mageras, Ellen York Objectives 1. Understand the challenges of treatment verification; leading to in-room kV imaging 2. Understand the configurations and operation principles of different in room kV x-ray imaging systems 3. Understand the requirements for effective implementation and quality assurance for IGRT 4. Understand the clinical applications and the associated limitations ACMP 2011_jww kV Imaging on-board a cobalt-60 unit Evolution of in-room x-ray imaging in RT In the 50’s – 60’s: • A separate kV x-ray system and Cobalt-60 unit linked through a mobile couch (Karolinska University Hospital); • A kV x-ray source attached to the beam stopper of a Cobalt-60 unit (Holloway 1958) • A customized Cobalt-60 unit (Johns and Cunningham 1959) linear accelerator (Weissbluth,Karzmark et al. 1959) • A Cobalt-60 unit and a kV x-ray tube mounted at 90o from each other on a circular ring (Netherlands Cancer Inst.) • A Cobalt-60 unit with an x-ray tube mounted to the collimator at an offset angle (Shorvon, Robson et al. 1966) kV x-ray source Ontario Cancer Institute's X-otron Cobalt-60 unit ACMP 2011_jww ACMP 2011_jww 2 5/2/2011 Evolution of in-room x-ray imaging in RT • 70’s – 80’s --- The age of MV port film – “Ready-pack” and film system for radiation therapy (Haus, Marks, Griem, 1973) o • 80’s ---- 45 off-set kV x-ray source – 10 MV medical accelerator at MGH (Biggs, et al. 1985) – same screen/film system with MV beam (Shiu, 1987) – RADII product by HRL Inc • 80’s ---- The advent of electronic portal imaging (EPI) – Renewed recognition of deficient MV image quality ACMP 2011_jww Challenges of Portal Imaging • Quality difference between prescription kV images and treatment MV images – May affect accuracy in error detection • Deriving appropriate correction from EPID images – Large residual error of correction using single projection, 20% > 5 mm • Need for more projection and more repeat imaging – Concerns of imaging dose (4-6 MU per film image) • Lack of soft-tissue contrast – uncertainty in the actual delivered dose • kV in place of MV imaging offers a reasonable solution ACMP 2011_jww Absorption Unsharpness: kV vs MV Transmissio n (scaled to full range) Absorption Unsharpness: kV vs MV 1 . 0 50kVp 100 kVp 6 MV 0 . 8 A l 2 0 m m 0 . 6 D e t e c t o r ( M = 1 . 0 5 ) 6 M V 0 . 4 1 0 0 k V p 0 . 2 3 0 k e V 5 0 k e V 5 0 k V p 2 M e V 0 . 0 1 5 ACMP 2011_jww ACMP 2011_jww 1 0 5 0 5 1 0 1 5 X P o s i t i o n ( m m ) 3 5/2/2011 A little story – Dual Beam Imaging, 1995 The era of in-room kV x-ray imaging in RT 90’s – present: Gantry mounted kV imaging • Low-Z target to generate low energy MV x-rays for imaging (Galbraith 1989; Ostapiak, O'Brien et al. 1998) • Integrated kV-MV x-ray target (Cho and Munro 2002) o • Gantry mounted 37 offset kV/MV imaging system with image intensifier(Sephton and Hagekyriakou 1995) • Gantry mounted kV/MV imaging system with EPID o – 45 offset (Jaffray, Chawla et al. 1995) – 90o offset with CBCT capability (Jaffray et al. 1999). – Precursor to modern commercial systems ACMP 2011_jww DAVID A. JAFFRAY, KAMAL CHAWLA, CEDRIC YU, JOHN W. WONG. DUAL-BEAM IMAGING FOR ONLINE VERIFICATION OF RADIOTHERAPY FIELD PLACEMENT. Int. I. Radiation Oncology Biol. Phys., Vol. 33. No. 5. pp. 1273-1280, 1995 ACMP 2011_jww A little story: MV conebeam CT in 1995 Dual Beam Imaging on Philips SL: 1996 Practicing on Bare Drum: Spring 1997 M. Moreau • Paul Cho introduced CBCT algorithm (U Washington, 1993) • Chang Pan manually acquired 90 projection images (6 MV) – in room, rotate phantom, out of room, shoot and acquire ACMP 2011_jww D. Drake D. Jaffray R. Cooke SL Mechanicals under load ACMP 2011_jww 4 5/2/2011 The era of in-room kV x-ray imaging in RT Wood Cover CCD EPID 90’s – present: Room-mounted systems • An in-room CT scanner with the medical accelerator (Akanuma, Aoki et al. 1984; Uematsu, Fukui et al. 1996) • Wall/ceiling/floor - mounted multi-kV fluoroscopy systems – Murphy and Cox 1996 -- Prototype CyberKnife) – Schewe, Lam et al. 1998 -- Portable CCD-based imager – Shirato, Shimizu et al. 2000 - 4 systems for gating RT – Yin, Ryu et al. 2002 – BrainLab kV image guidance • • April – May 1997, Two weekends, one month apart Wk 1: Drill holes, move electronics; Wk 2: Mount x-ray source and imager ACMP 2011_jww ACMP 2011_jww In-room Conventional CT for IGRT The “Omni” in-room CT system Memorial Sloan Kettering Cancer Center, 2003 ACMP 2011_jww ACMP 2011_jww 5 5/2/2011 Varian-GE ExaCTTM-on-Rails Central guide rail Magnetic encoder strip Side rail to provide balance ACMP 2011_jww Curtsey of Lei Dong, Ph.D., MD Anderson Cancer Center, TX Fig. IIA.-3 There are three rails in this moving-gantry CT scanner. The central rail contains helical scan:3 cm/s; scout scan: 7.5 cm/s positional sensor and drive mechanism; and the two side rails provide level and balance during movement. ACMP 2011_jww Ceiling/Floor-Mounted System Siemens CT-on-Rails Novalis system From C Ma SDD: 3.62 m SID: 2.34 m Pixel: 0.4 mm Matrix: 512x512 Digital Detector kV x-ray tube Siemens Primatom system Curtsey of Lisa Grimm, Ph.D., Morristown Memorial Hospital, NJ. F-F Yin Med Phy 2002 ACMP 2011_jww ACMP 2011_jww 6 5/2/2011 Gantry-Mounted Systems Ceiling/Floor-Mounted System Varian OBI Cyberknife system X-ray tube X-ray tube Detector Recessed Detector Detectors under the floor Elekta Synergy Detectors above the floor Siemens Artiste Curtsey of Accuray, Inc. ACMP 2011_jww ACMP 2011_jww kV Fluoroscopic, Radiographic, and CT Functionality The “Omni” Gantry System at Duke Video/IR Camera KV Detector NovalisTx System Duke University Medical Center OBI KV Detector OBI KV tube MV Detector Recessed ExactTract KV tube Fluoroscopic ACMP 2011_jww Radiographic Tomographic ACMP 2011_jww 7 5/2/2011 Acceptance Testing: Imaging System • The primary goal for acceptance testing is to verify the components, the configurations, the functionality, the safety, and the performance of the system relative to the specifications described in the purchasing agreement and/or installation documentation from the vendors • Data generated in the acceptance testing could be used as the baseline for routine QA ACMP 2011_jww ACMP 2011_jww Acceptance: Synergy Table Axis “Tuning” TG142 : +/- 1mm Before After Exp CW Exp CCW Adjusted points Adjusted circle Couch shift 130.5 T-G Direction, Y Axis, mm 129.0 T-G Direction, Y Axis, mm 130.0 129.5 128.5 129.0 128.0 128.5 127.5 128.0 127.0 127.5 127.0 128.0 129.0 X Axis in A-B Direction, mm Dia = 2.5 mm ACMP 2011_jww Exp CW Exp CCW Adjusted points Adjusted circle Couch shift 129.5 130.0 126.5 127.0 128.0 129.0 X Axis in A-B Direction, mm 130.0 Dia = 0.6 mm ACMP 2011_jww 8 5/2/2011 Integrated CT/Linac: Mechanical precision and alignment uncertainty (Court, et al, MDACC) Fiducial Transfer Method ACMP 2011_jww ACMP 2011_jww ACMP 2011_jww ACMP 2011_jww 9 5/2/2011 Elekta XVI system Acceptance Testing: Gantry Imaging System • Room design and shielding consideration • Verification of Imaging System Installation • 2D Imaging system checks – 2D low contrast visibility (0.9%) – 2D spatial resolution (1.8 lp/mm) • Safety and Mechanical Configurations – System interlocks – kV imaging arm movement • Geometric Calibration • Localization Accuracy • Image Quality ACMP 2011_jww Leeds TOR 18FG • 2D geometric accuracy – kV localization of MV isocenter from different gantry – specification < 4 pixel, 1.04 mm • ave. 1.5 pixels, max 3 pixel ACMP 2011_jww Elekta/Varian: 3D spatial resolution Elekta XVI Acceptance (Baseline) • 3D imaging system checks – Uniformity – Low Contrast visibility – Spatial Resolution – Transverse vertical/horizontal scale – Sagittal geometric • 3D registration accuracy 15 15 13 13 11 11 9 9 TrueBeam image courtesy of Peter Munro ACMP 2011_jww ACMP 2011_jww 10 5/2/2011 Elekta XVI Acceptance (Baseline) Quality Assurance Programs • • • • • Safety and functionality Geometric accuracy Dosimetric information Software and hardware Imaging system with delivery system alignment/coincidence • Image quality • TG 142 sets the frequencies and criteria • 3D imaging system checks – Uniformity: 1.1% – Low contrast visibility (polystyrene – LDPE, 1.26%) – Spatial resolution (12 lpcm) – Transverse vertical/horizontal scale (as expected) – Sagittal geometric (as expected) • 3D kV-MV registration accuracy – < 1 mm as specified ACMP 2011_jww ACMP 2011_jww Daily Procedure ACMP 2011_jww non-SRS/SBRT Monthly SRS/SBRT * Recommendations for Imaging System QA Procedure ACMP 2011_jww non-SRS/SBRT SRS/SBRT * Recommendations for Imaging System QA 11 5/2/2011 Annual Procedure non-SRS/SBRT SRS/SBRT Dose/Exposure vs Imaging Modality Murphy et al Med Phys 2007 TG 76 Report ACMP 2011_jww * Recommendations for Imaging System QA ACMP 2011_jww Calibration for Ceiling/floor-Mounted System (ExacTrac System) Isocenter calibration phantom ACMP 2011_jww x-ray calibration phantom ACMP 2011_jww 12 5/2/2011 MV-kV calibration --- Elekta QA for OBI/CBCT • Safety and functionality – Interlocks, lights, network-flow. – All test items are verified during tube warm-up (< 5 min) • Geometric accuracy – OBI isocenter accuracy – Accuracy of performance for 2D-2D match and couch shift – Mechanical accuracy (arm positioning of KVS and KVD) – Isocenter accuracy over gantry rotation • OBI Image quality – Radiography: contrast resolution and spatial resolution – CBCT: HU reproducibility, contrast resolution, spatial resolution, HU uniformity, spatial linearity, and slice thickness. 1. MV Localization (0o) of BB; collimator at 0 and 90o 2. Repeat MV localization of BB for gantry angles of 90o, 180o, and 270o 3. Adjustment of BB to treatment isocenter +1mm qg qg u v -1mm -180 qg +180 Reconstruction 4. Measurement of BB location in kV radiographic coordinates (u,v) vs. qg. ACMP 2011_jww Flex Maps: Synergy (XVI) Units XVI1 26 cm CCW 40 cm CW 40 cm CCW 50cm CW Long term stability for one unit (NKI) 50 cm CCW 0.1 mean +/- 2 0.05 U [cm] FOV: 26 cm Rot. Dir: CW 6. Use ‘Flex Map’ during routine clinical imaging 5. Analysis of ‘Flex Map’ and storage for future use 0 -0.05 XVI2 -0.1 -50 0 50 100 150 u V [cm] 0.05 6 calibrations over 15 month period 0 -0.05 -0.1 XVI5 ACMP 2011_jww -100 0.1 XVI3 XVI4 v -150 ACMP 2011_jww -150 -100 -50 0 50 Gantry angle [o] 100 150 Weekly QA of MV/kV isocenter calibration 13 5/2/2011 All Flex Maps: Synergy (XVI) Units ACMP 2011_jww OBI1 Approach – “Residual” Daily Geometry QA • Align phantom with lasers • Acquire portal images (AP & Lat) & assess central axis • Acquire CBCT • Difference between predicted couch displacements (MV & kV) should be < 2 mm ACMP 2011_jww Accept if within specified tolerance. ACMP 2011_jww Daily Geometry QA • Align phantom with lasers • Acquire portal images (AP & Lat) & assess central axis • Acquire CBCT • Difference between predicted couch displacements (MV & kV) should be < 2 mm ACMP 2011_jww 14 5/2/2011 Full kV/MV Calibration - Monthly ACMP 2011_jww ACMP 2011_jww ACMP 2011_jww ACMP 2011_jww 15 5/2/2011 Is o _ O D I = Q /A P h a n to m = L a s e rs / O D I Compare Portal Image & DRR E 2 (C B C T ) E 1 (E P ID ’s ) Is o _ k V M V M e c h a n ic a l Is o c e n te r E3 M V N o m im a l Is o c e n te r z Is o _ M V M V R a d ia tio n Is o c e n te r y x Current* Action Level on E3: 2 mm (in any one direction) ACMP 2011_jww * Due to large observer variability in MV alignment ACMP 2011_jww 2006 XVI Daily QA Results (E3 Error) XVI1 XVI2 [mm] M XVI3 L/R XVI4 S/I A/P 2007 OBI Daily QA Results (E3 Error) XVI5 OBI1 [mm] (-0.04, -0.72, 0.52) of Daily QA Testing L/R OBI3 S/I OBI4 A/P M = (-0.08, -0.19, 0.27) Ave(σ) (0.96, 0.82, 1.04) ACMP ~ 6 2011_jww Months OBI2 Ave(σ) = (0.51, 1.02, 0.71) ACMP 2011_jww 16 5/2/2011 CBCT: Geometric Accuracy and Precision IG Performance: Connectivity,Orientation/Scale Checks CBCT vs Orthogonal Portal Images Phantom - Unambiguous Object ic etr lum nce Vo fere s e e R ag Im Elekta Synergy RP CT Simulation Pl an ni ng CT ‟s On -lin eI ma ge s OBI Acquisition XVI Acquisition D IC O M /R T 40 measurements over several months Off-line Image Review/Archive M CO DI T /R Treatment Planning System ACMP 2011_jww Sharpe et al. - Med Phys. 2006 Jan;33(1):136-44. ACMP 2011_jww IG Performance: Connectivity,Orientation/Scale Checks • • • • • • Anthropomorphic phantom 4 Orientations Target bony anatomy Arbitrary initial shifts Plot residual error 5 XVI units ACMP 2011_jww Planning: Philips Pinnacle v7.4 . . IG Performance: Connectivity,Orientation/Scale Checks Residual Absolute Error [cm] Residual Error Image Source: GE and Philips CT 0.18 0.16 0.14 0.12 L/R S/I A/P 0.10 0.08 0.06 0.04 0.02 0.00 1 All XVI‟s ACMP 2011_jww 17 5/2/2011 Baseline CBCT Imaging X-ray source: •Heat capacity •Focal spot size •Energy range •Bow-tie filter Bow-Tie Filter Affects •How often can you scan •Resolution •Contrast/dose – thick patients •Image homogeneity Flat-panel detector •Quantum efficiency •Size •Resolution •Speed •Scatter grid •Noise •Size •Resolution •Angular sampling •Image homogeneity / noise Gantry •Speed •Accuracy (constancy) •Speed •Resolution • Reduce Scatter • Lower Skin Dose • Reduce Saturation 30 mm 2 mm Aluminum ACMP 2011_jww ACMP 2011_jww Application of a Bow-Tie Filter No Bow-Tie Effect of size (scan length) on image quality Bow-Tie 2 cm 12 cm 20 cm 1 mm2 voxels, 1 mm slice thickness, 32 mA, 40 ms, 120 kV, 1.5 cGy Central dose 3 cGy, skin 4 cGy Central dose 3 cGy, skin 3 cGy 2 minutes scan time ACMP 2011_jww ACMP 2011_jww 18 5/2/2011 Which dose to use? Speed matters • Number of projection images affects streak artifacts • Given the IEC limit of 1 RPM – Varian: 360 images for fast scan – Elekta: 180 images for fast scan 0.25 cGy 0.5 cGy • How much do you need? – This depends on the task 2 cGy 1 cGy ACMP 2011_jww ACMP 2011_jww 1 mm2 voxels, 1 mm slice thickness, 120 kV Scatter grid 0.3 cGy 3.0 cGy Dose Projections • Scatter grid attenuates – + Scatter – - Primary beam 0.1 cGy Translation (mm) Rotation (dg) L-R C-C A-P L-R C-C A-P 3.0 cGy 640 -0.4 -2.3 -2.4 -1.0 0.1 0.3 0.3 cGy 64 -0.4 -2.4 -2.5 -1.0 0.0 0.3 0.1 22 -0.4 -2.4 -2.4 -0.9 0.1 0.3 ACMP 2011_jww • Software correction may be equally effective ACMP 2011_jww 19 5/2/2011 Scatter correction algorithms Reconstruction settings • • • • • Without correction Slice thickness Pixel size Pre-filtration Interpolation Reconstruction filtration With correction Boellaard et al. Two-dimensional exit dosimetry using a liquidfilled electronic portal imaging device and a convolution model Radiother. Oncol. 44 149-157, 1997 Elekta: scatter uniform and proportional to average image intensity where there is patient in the beam Varian TrueBeam: iterative kernel based scatter estimation ACMP 2011_jww ACMP 2011_jww Slice Thickness: 1 mm2 voxels, 20 mA, 20 ms, 120 kV, 1 cGy 1 mm slice thickness 3 mm slice thickness 1 mm slice thickness 5 mm slice thickness ACMP 2011_jww 5 mm slice thickness, averaged in all directions ACMP 2011_jww 20 5/2/2011 PIXEL SIZE: 32 mA, 40 ms, 120 kV, bowtie, 3 cGy 2 mm2 voxels, 2 mm slice thickness 1 mm2 voxels, 1 mm slice thickness Elekta setting: smoothed Un-smoothed 1 mm2 voxels, 1 mm slice thickness, 32 mA, 40 ms, 120 kV, bowtie, 3 cGy ACMP0.5 2011_jww mm2 voxels, 0.5 mm slice thickness 0.5 mm2 voxels, 2.5 mm slice thickness ACMP 2011_jww Bench top CBCT System Patient Dose Estimation: kV-CBCT Dose depends on • • • • • Beam Quality: HVL (kVp, filtration) Tube output: Reference (mR/ mAs) Scanning Geometry: SAD, FOV, No. of projections Technique settings: mAs Patient Size (Body , Head…) ACMP 2011_jww AAPM’10 21 5/2/2011 CBCT: Radial Dose Depth Phantom: 30 cm dia. Imaging Technique: 120 kVp 100 mA 20 ms 2.4 2.2 2.0 1.8 Dose (cGy) Imaging Technique: 100 kVp 100 mA 20 ms 330 Projection 660 mAs 1.6 1.4 FOV: FOV: FOV: FOV: 1.2 1.0 5 cm x 26cm 10 cm x 26cm 15 cm x 26cm 26 cm x 26cm Depth 0.8 330 Projection 660 mAs 2.4 2.0 2 4 6 5 cm x 26cm 10 cm x 26cm 15 cm x 26cm 26 cm x 26cm 1.8 1.6 1.4 1.2 1.0 0.6 0 FOV: FOV: FOV: FOV: 2.2 Dose (cGy) Phantom: 16 cm dia. CBCT: Radial Dose 0.8 8 Depth (cm) 0.6 0 2 4 6 8 10 12 14 Depth (cm) ACMP 2011_jww ACMP 2011_jww CBCT Imaging Dose: Offset Geometry (FOV 40 cm) Clinical Imaging Dose Measurements Dose vs. Field Size Experimental Setup 2 Detectors Detectors Kim et al, Total Dose (cGy) A simple and clinical feasible method to estimated the CBCT imaging dose Nuclear Enterprises Free-Air Chamber (0.6 cc) 32 cm “Body” Phantom 330 projections at 2 mAs / proj Radiat Prot Dosi. 2008 ACMP 2011_jww ACMP 2011_jww 1.5 D2cm 1 Dcenter 0.5 0 0 10 20 30 Field Size (z) (cm) Islam et al., Med. Phys. 2006 22 5/2/2011 Deciding the Necessary Image Quality for the Application Variation of image quality with lens dose (cGy) Low Dose (1.5 mGy) Pediatric Imaging for Routine On-line IGRT mAs/ Projection 2 1.0 2.0 0.5 1.0 4.0 16x Reduction 1 2.0 0.5 0.25 80 ACMP 2011_jww 0.5 160 320 Number of Projections 1.0 ACMP 2011_jww IGRT is Clinical Quality Assurance Artifacts in kV CBCT • Cupping and streaks due to hardening and scatter (A&B) • Gas motion streak (C) • Rings in reconstructed images due to dead or intermittent pixels (D) • Streak and comets due to lag in the flat panel detector (E) • Distortions (clip external contours and streaks) due to fewer than 180 degrees + fan angle projection angles (F) ACMP 2011_jww • Provides measurement of patient position in treatment position. – Quantitative, accurate, repetitive – Minimally invasive – Large field-of-view – Markers, bone, soft-tissue, skin-line • Verify consistency of planned and actual geometry – Provides a critical data source for rational margin design ACMP 2011_jww 23 5/2/2011 MV vs kV Fallacy Off-Line In-Room Image-Guidance • Daily orthogonal openfield MV/kV projection imaging; 14 patients • Alternate week kV- vs MV-based correction • Verify correction with kV orthogonal pair • MV and kV correction similar with adequate anatomic information • Appreciable rotation uncertainty • Main kV advantage: reduced imaging dose Patient planning information/ Patient information system H&N H&N Lung Lung Patient setup Pelvic On-board images Treatment nth treatment Statistical Analysis (m,) Y Correction? Reference images N ACMP 2011_jww ACMP 2011_jww Clinical IGRT Strategies: Margin --- from population to individual margin On-Line In-room Image-Guidance • Patient planning information/ Patient information system Patient setup In-room imaging I Reference images On-board images Correction? Y In-room imaging III In-room imaging II Feedback ACMP 2011_jww In-room imaging Correct position N Key technologies for quantifying treatment uncertainties: • Organ motion: Computed Tomography • Daily setup: Electronic Portal Imaging SI Lat Treatment Conventional RT Off-line Adaptive RT On-line correction Data: 1 Generic Margin ~ 2.5S + 0.7 Data: n < N Corrects for systematic error Data: daily Corrects for all setup/motion errors ACMP 2011_jww 24 5/2/2011 Workflow Using Snap Verification Image-Guidance with ExacTrac Initial 6D setup Snap verification for field 3 Snap verification for field 2 Snap verification for field 4 6D Robotics Frameless Radiosurgery .... Adaptive Gating Treat field 1 ExacTrac IGRT ACMP 2011_jww Use Case: Intra-Fraction Imaging Treat field 2 Treat field 4 Treat field 3 ACMP 2011_jww Image-Guidance with CT-on-Rails Planning and R&V System Room Reference CT dataset Treatment Planning R&V System Intranet Image Storage Reference CT Control Room Imaging console LINAC console Gating Signal Alignment Protocol Correction? Treatment Room Example of dual x-ray imaging Couch Shifts LINAC ACMP 2011_jww ACMP 2011_jww Patient couch In-room kV CT/CBCT Images 25 5/2/2011 Use Case – SBRT Pancreatic Cancer • • • • • • ABC-kV AP setup Collaborative randomized trial – Hopkins, Stanford, MSKCC 2-3 mm PTV expansion Implanted markers for visualization Hopkins: Breath-hold (ABC) planning CT to immobilize motion Setup: Compare free breathing planning CT with CBCT Treatment – free breathing fluoroscopy of markers to verify motion – kV projection to verify ABC-moderate deep inspiration- setup – breath-hold kV projection imaging to verify markers’ positions during treatment ACMP 2011_jww ABC-kV lateral setup kV intra-fx monitor at one beam angle 26 5/2/2011 Au markers validation: MV vs. kV shift difference Use Case: 3-D Free-Breath ITV with CBCT vs MV with Markers CBCT with Markers • Independent Alignment Methods • 16 patients (~250 fx) • Duration: 6 months CBCT images after correction CBCTPost-treatment images prior toCBCT correction Planning CT with target contours • Unambiguous Surrogate (3 Au markers) Wang et al Ref J 2007 ACMP 2011_jww ACMPMoseley 2011_jww et al. Int. J. Rad. Onc. Biol. Phys., 63, 2007 Clinical “end-to-end” assessment of IGRT Summary Background • The XVI system is linked to the Remote Automatic Table Movement (RATM). The introduction of in-room kV imaging provides new opportunities to further improve treatment accuracy and precision. At the same time, it presents new challenges for its efficient and effective implementation. • The patient is shifted per the image-guidance system via the remote couch interface. • The stability of the system and residual error is measured through verification scans acquired following a table shift. Sarcoma 9% Lymphoma 3% Upper GI 21% Head and Neck 26% Methodology Lung 41% • Collection Period Oct 19th „06 – Nov 17th „06 • Patients with repeat (verification) scans were measured and matched using an Automatic Algorithm Each in-room kV imaging method has its strengths and limitations. The user is well advised to match the clinical objective with the appropriate technology; or at least to apply the image guidance information to within the bounds of its validity: imaging dose, field of view, sharpness vs contrast • 34 patients with 135 scans ACMP 2011_jww W Li et al. J Appl Clin Med Phys. 2009 Oct 7;10(4):3056 ACMP 2011_jww 27 5/2/2011 Summary Future considerations for in-room x-ray IGRT • Guidance documents are available to assist in the establishment of QA programs for IGRT technologies • Published literature demonstrate that these systems can be accurate, precise, and reliable. – Compare your results to others. – Adapt upgrades --- high resolution panels • Maintenance of IGRT performance is central to confidence in appropriate PTV margin. • An integrated daily check for IG system consistency has been implemented into routine clinical use with a 15 minute time penalty. ACMP 2011_jww • Need to analyze institutional data (4.5 TB in 4 machine-years) – Margin specification, revised action level, frequency • On-board CT/CBCT is a snap shot – Soft tissue target localization remains challenging – Dose concerns with intra-fraction x-ray monitoring – Alternative solutions are needed • EM transponders • MRI-Linac • Integrated on-board ultrasound imaging • Motion artifacts are problematic – 4D CBCT, Breath-hold CBCT ACMP 2011_jww Contrast Enhanced CBCT – OBI 1.4 with no breathing motion CBCT system US system Courtesy of Michael Lovelock and Josh Yamada MD; MSKCC 1a (a)_ ACMP 2011_jww (b)_ (c)_ ACMP 2011_jww 28 5/2/2011 Varian - Elekta Summary • Radiotherapy x-ray imaging systems have a wealth of tunable parameters – users can change these! • Imaging dose and field of view should be set given the clinical requirements • Image resolution and sharpness can be set according to preference, but increasing sharpness also increases noise • For image guidance, a high resolution is not required ‘soft’ reconstructions offer slightly better soft tissue contrast ACMP 2011_jww Parameter Varian Truebeam Energy range 40-140 kV Elekta XVI4.5 70-150 kV Bow-tie filter yes yes Detector QE 60% (CsI) 60% (CsI) Detector size 30 x 40 cm 40 x 40 cm Pixel 197 mm 400mm Frame rate used 11 fps 5.5 fps Scatter grid yes no ACMP 2011_jww 29
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