* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Dose Reduction Strategies for SPECT/CT and PET/CT
Industrial radiography wikipedia , lookup
Radiosurgery wikipedia , lookup
Neutron capture therapy of cancer wikipedia , lookup
Medical imaging wikipedia , lookup
Backscatter X-ray wikipedia , lookup
Radiation burn wikipedia , lookup
Nuclear medicine wikipedia , lookup
Image-guided radiation therapy wikipedia , lookup
Dose Reduction Strategies for SPECT/CT and PET/CT ! Adam Alessio, PhD, DABSNM [email protected] Department of Radiology University of Washington http://faculty.washington.edu/aalessio/ DISCLOSURE: Dr. Alessio has received grant/research support from GE Healthcare © Adam Alessio 2015, [email protected] Alessio, 1 Image Quality Tradeoffs in NM Technology Dose Savings 20 Image Quality Diagnostic Utility Information Density 10 Technique/Scanner 1 Technique/Scanner 2 New Technology ? 0 0 10 20 Radiation Dose (a.u.) 30 Scan Duration (minutes) Alessio, 2 Image Quality Tradeoffs in NM 20 Image Quality Diagnostic Utility Information Density 10 Operational Dose Savings Technique/Scanner 1 Technique/Scanner 2 New Technology ? 0 0 10 20 Radiation Dose (a.u.) 30 Scan Duration (minutes) Alessio, 3 Goal of Dose Optimization? A. Make prettiest image possible B. Minimize radiation dose C. Maximize physician’s happiness D. Maximize technologist’s happiness (i.e., shortest acquisition time) E. Acquire with maximum image quality at minimum of dose F. Define a task and sufficient image quality to achieve task Alessio, 4 Dose Optimization in Nuclear Medicine • Is all about – Injected Activity? OR – Defining the desired task and the necessary image quality to achieve that task – Dose Optimization = Rational Protocol Selection § !! More than just a question of injected activity!! § Appropriate protocol for the appropriate scanner, clinical resources, study, and patient § We need better approaches for rational protocol selection… Alessio, 5 Diagnostic Reference Levels “Diagnostic reference levels (DRLs), which are a form of investigation levels, represent an important tool to optimize image quality and the radiation dose delivered to patients.” DRL’s help promote (not dictate) good practice for a more specific medical imaging task; and • Proposed 20 years ago. Used extensively in Europe for Quality Assurance • • ICRP 73 (1996) NCRP, Report 172: Reference Levels and Achievable Doses in Medical and Dental Imaging: Recommendations for the United States (National Council on Radiation Protection and Measurements, 2012). Alessio, 6 Diagnostic Reference Levels • DRLs are set at approximately the 75th percentile of similar studies for similar patients • Achievable doses, AD, represent the median (50th percentile) of doses • • ICRP 73 (1996) NCRP, Report 172: Reference Levels and Achievable Doses in Medical and Dental Imaging: Recommendations for the United States (National Council on Radiation Protection and Measurements, 2012). Alessio, 7 Diagnostic Reference Levels & Achievable Doses # Exams 75th % 50th % Dose AD DRL • 75% of doses below Diagnostic Reference Level • 50% of doses below Achievable Dose (encourage dose optimization for sites below 75% level) Alessio, 8 Diagnostic Reference Levels, NCRP 172 Nuclear Medicine Reference Levels NM Doses from a 2010 Survey of 9 Academic Centers Sample of Suggested Reference Levels Examination DRL (mCi) AD (mCi) Tc99m-Tetrofosmin (Stress) 39.0 25.0 Tc99m-Tetrofosmin (Rest) 29.0 18.0 99mTc-MAG3 10.0 7.5 Tc99m-MDP 32.0 23.0 F18-FDG 19.0 15.0 “For nuclear medicine, the 75th percentile maximum RLs should be used as guidelines to limit unnecessary radiation dose as long as diagnostic-quality nuclear medicine studies are obtained, but not as absolute limits.” NCRP, Report 172: Reference Levels and Achievable Doses in Medical and Dental Imaging: Recommendations for the United States (National Council on Radiation Protection and Measurements, 2012). Alessio, 9 Diagnostic Reference Levels, NCRP 172 CT Reference Levels Many pages of DRL’s for CT based primarily on ACR CT Accreditation Materials Potential Diagnostic Ref Level NCRP, Report 172: Reference Levels and Achievable Doses in Medical and Dental Imaging: Recommendations for the United States (National Council on Radiation Protection and Measurements, 2012). Alessio, 10 SAM Question: Diagnostic Reference Levels (DRLs) can be used in clinical practice to: A. Provide legal justification in event of malpractice law suit B. Set standards to identify normal, average doses C. Set standards to identify unusually low doses D. Compare local practice with peer institutions and national levels E. Provide required protocol settings for local practice Alessio, 11 Technology Dose Savings Current technologies providing genuine improvements: • Improved collimators (SPECT) • Improved solid-angle coverage (SPECT, PET) • Improved detectors and electronics (SPECT, PET, and CT) • Improved data processing (SPECT, PET, and CT) – Iterative image reconstruction • Improved review software/workstations Alessio, 13 Collimator Efficiency • Collimators typically absorb well over 99.95% of all incident photons. • Trade-off between spatial resolution and detection efficiency (sensitivity). • Collimator choices: LEGP, LEHR, MEGP, High Energy Ø balance the trade-off Ø used for different isotopes Alessio, 14 Collimator Sensitivity Point Source Geometric Efficiency in Air! From: Physics in Nuclear Medicine (Cherry, Sorenson and Phelps) Alessio, 15 Collimator Design Conventional Siemens AUTOFORM NEMA planar LEHR system sensitivity NEMA planar LEHR system sensitivity (cpm/µCi @ 10cm) (cpm/µCi @ 10cm) 202 195 195 185 Regular detectors -20% 175 165 185 -26% 175 168 ` 165 160 155 155 Competitor 1 Symbia Competitor 2 § Thicker septa lead to more attenuation § Low sensitivity § Unique septa design enables industry-leading NEMA sensitivity* (up to 26% higher) *Vendor Statement: Slide provided from Siemens Healthcare Alessio, 16 A Benefit of Application Specific Geometries: Solid-Angle Coverage Parallel Collimator: Same detection efficiency, Different resolution x % of sphere (counts) detected Focused geometries can provide significantly better solid angle coverage à Many more counts detected at a time x % of sphere (counts) detected Alessio, 17 Detectors: NaI vs Cadmium Zinc Tellurium (CZT) • • • Inexpensive Energy Resolution ~9% Spatial Resolution ~4mm • • • • Relatively expensive Energy Resolution ~5% Spatial Resolution ~2mm Compact Figure from GE Healthcare, Alcyone Technology White Paper Alessio, 18 The Reconstruction Problem: An Inverse Problem Unknown image y = Px + n Observed data system matrix Error in observations (noise, scatter, etc) −1 x = P ( y − n) DIFFICULT: Requires Iterative Solution 1. Each Vendor can have unique representation for y, P, x, n 2. And, how they solve P-1 Main Point: Not all “OSEM” algorithms the same Not all Vendors Recon algorithms are the same… Alessio, 19 Iterative Image Reconstruction in SPECT Faster, Better Images: 1. Garcia et al, Cardiac Dedicated Ultrafast SPECT Cameras: New Designs and Clinical Implications. J Nucl Med, 2011; 52. 2. Borges-Neto et al. Clinical results of a novel wide beam reconstruction method for shortening scan time of Tc-99m cardiac SPECT perfusion studies. J Nucl Cardiol. 2007. Increasing Applications For Quantitative SPECT: 1. Bailey, An Evidence-Based Review of Quantitative SPECT Imaging and Potential Clinical Applications, JNM 2013 2. Beauregard et al, Quantitative 177Lu SPECT (QSPECT) imaging using a commercially available SPECT/CT system, Cancer Imaging 2011. 3. Dewaraja et al, Accurate Dosimetry in 131I Radionuclide Therapy Using Patient-Specific, 3Dimensional Methods for SPECT Reconstruction and Absorbed Dose Calculation, JNM 2005. Alessio, 20 Quantitative SPECT Reconstruction PMTs Key Components: 1. Attenuation correction 2. Intra-Patient Scatter correction 3. Accurate System Model (includes collimator-resolution modeling) 4. Intra-Collimator Scatter correction 5. View-dependent decay correction Scintillator collimator! Ø ALL incorporated into reconstruction algorithm Alessio, 21 Collimator Resolution Dependent on source-collimator distance From: The Essential Physics of Medical Imaging (Bushberg, et al)! Alessio, 22 Collimator Resolution Dependent on source-collimator distance Ø All collimators suffer from depth dependent resolution response Ø Iterative reconstruction methods can model, and therefore somewhat compensate for, the resolution response of the collimator From: The Essential Physics of Medical Imaging (Bushberg, et al)! Alessio, 23 Example of Iterative Recon Trial Stress/rest Tc-99m tetrofosmin single-isotope study Full Duration, Filtered Backprojection Half Duration, Wide Beam Reconstruction from UltraSPECT Conclusion from this study: cardiac SPECT perfusion studies may be performed with the WBR algorithm using half of the scan time without compromising qualitative or quantitative imaging results. Borges-Neto et al, Clinical results of a novel wide beam reconstruction method for shortening scan time of Tc-99m cardiac SPECT perfusion studies. J Nucl Card, 2007. Alessio, 24 SAM Question Technology dose savings can be achieved in SPECT imaging through all the following except: A. Improved collimator designs B. Higher resolution detectors made from materials such as CzT C. Improved data processing and reconstruction algorithms D. Faster rotation of detector heads E. Greater solid angle coverage Alessio, 25 Trends in PET Technology • Larger Bore Sizes (70cm towards 78cm and more…) • More Reproducible Quantitation – Better Calibration (ex: Siemen’s Quanti-QC) – Respiratory Compensation – Better image reconstruction (ex: GE’s Q.CLEAR) • Better Signal to Noise through: – Better Time-of-Flight (ex. Philip’s Digital PET) – Larger axial sampling – Better image reconstruction Alessio, 27 Digital Photon Counting PET Converts scintillation light directly to a digital signal, with zero analog noise. Allows for Faster Timing Resolution Vendor Statements from Philips Healthcare Alessio, 28 Variations in resolution loss vs. size and smoothing OSEM Increasing smoothing Max Mean FBP Alessio, 29 How to reduce partial volume effect in PET? PSF-Based Iterative Reconstruction Detectors Scanner bore Improve System Model Locations of point sources PPSF (sv ,s) Events (a.u.) Each radial location has blur in radial direction sv = 2mm s sv = 348mm s Alessio, 30 Measured Spatially Variant System Modeling (PSF) in Iterative Reconstruction Images with “clinical” reconstruction parameters: 2.7mm/pixel, 7mm post-filter, 28 subsets Contrast Recovery vs. Size Contrast Recovery vs. “True” Noise across 50 scans 4 it 8 it Proposed Method Prior “best” method Prior Method OSEM+LOR Proposed Method OSEM+LOR+PSF Observations: Addition of PSF… • Leads to roughly 7% bias improvement at matched true noise levels across all sphere sizes FDG PET Exam, 109kg patient Alessio et al, “Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction,” IEEE Trans Med Imaging, 2010. Alessio, 31 Time-Of-Flight PET • Measures time difference of detection of photons – If time difference =0, annihilation at center of field of view • Timing resolution 500 ps = 7.5 cm Conventional backprojection TOF backprojection Alessio, 32 Time-of-Flight PET Contrast recovery coefficient versus noise for 27 cm diameter cylinder TOF Contrast recovery coefficient versus noise for 35cm diameter cylinder non-TOF Karp et al, Benefit of Time-of-Flight in PET: Experimental and Clinical Results, JNM 49:3, 2008. Alessio, 33 TOF gain as a function of patient mass TOF gain for matched noise levels, averaged over 6–9 lesions (1- to 2-cm diameter) for each patient, is plotted as function of patient mass. Error bars reflect the range of TOF gains seen for this patient. Karp et al, Benefit of Time-of-Flight in PET: Experimental and Clinical Results, JNM 49:3, 2008. Alessio, 34 Question: Time-of-flight PET is especially beneficial for: A. High resolution brain imaging B. Smaller pediatric patients C. Depth of interaction detectors D. Obese patients Answer: D. Larger patients will have more signal to noise gains than smaller objects. Alessio, 35 CT: Instrumentation/Processing • CT Detectors • Improved data/image processing – Discussion of CT image enhancement – Iterative image reconstruction Alessio, 36 X-ray CT Detectors Modern Systems use Solid State Scintillation Detectors – Scintillation Materials: CdW04, Gd2O2S, HiLight™, GEMSStone™, CsI – Coupled to photodiodes • Visible light scintillator photodiode Electrical signal Conventional 3rd Generation CT Detector: 2-4 cm axial, ~55° arc Flat-panel detectors usually use CesiumIodide (CsI) coupled to amorphous silicon photodiodes – Originally developed for angiography – Used in § C-Arm Conebeam CT Systems § Philips BrightviewXCT SPECT/CT – Cons: Low contrast resolution and Slow acquisition – Pros: High spatial resolution and Large area Flat panel detector: 35 cm x 45 cm Alessio, 37 CT Iterative Recon Summary Raw CT Data (projection data) • • • • Images Each vendor is offering “iterative” methods to reduce image noise, effectively allowing for reduced dose acquisitions at matched image quality “Iterative” data enhancement methods can be applied at any step in imaging chain Image-Based Iterative Methods: – – – – all essentially Image-Based Iterative Methods Tomographic Image Reconstruction Philips: iDose Siemens: IRIS (iterative reconstruction in image space) Toshiba: AIDR (adaptive iterative dose reduction) Third Party Solutions: Clarity™ CT from Sapheneia (Sweden); ContextVision Inc. (Sweden) “More Fully” iterative reconstruction methods – – – – Toshiba: AIDR3D (adaptive iterative dose reduction) GE Healthcare: ASIR (Adaptive Statistical Iterative Recon), ASIR-V, Veo Philips: iDose4 Siemens: SAFIRE (Sinogram Affirmed Iterative Recon) Alessio, 38 Image-Based Enhancement Marketing Brochure for Clarity CT Solutions, www.claritysolutions.org Alessio, 39 So# Tissue Conspicuity Increased conspicuity Increased noise FBP GE:ASIR GE:VEO 120 kVp, variable mAs (NI=36), 1.375 pitch. 0.625/0.8 mm slice: Width = 400, Level = 40 HU 65 YO female, 83.7 kg, 160 cm, BMI = 32.7 40 Alessio, 40 Coronary CT angiography FBP Siemens: SAFIRE Reconstruction of half dose data Moscariello et al, Coronary CT angiography: image quality, diagnostic accuracy, and potential for radiation dose reduction using a novel iterative image reconstruction technique—comparison with traditional filtered back projection. Eur Radiol, 2011. Alessio, 41 Dose Reduction Techniques CT: Operational • Factors that affect radiation dose with CT • Appropriate protocols – Diagnostic CT vs Localization CT vs Attenuation Correction CT Alessio, 42 Factors Affecting CT Dose Direct Influence on Dose ♦ X-ray beam energy (kVp) ♦ X-ray tube current (mA) ♦ Rotation or exposure time ♦ Slice thickness ♦ Object thickness ♦ Pitch or spacing ♦ Dose-reduction techniques ♦ X-ray source to isocenter distance Indirect Influence on Dose ♦ Reconstructed slice thickness image statistics require higher kVp and/or mAs in thinner slices to achieve equivalent level of noise as in thicker slices. ♦ Reconstructed image resolution algorithms enhancing spatial resolution also increase image noise- higher kVp and/or mAs may be used to compensate. Alessio, 43 Factors Affecting CT Dose CTDIw measured in 16cm head & 32 cm body phantoms Dose reduces more than linearly with tube voltage 60 60 50 50 120kVp, 10mm Head 40 CTDI_w(mGy) CTDI_w(mGy) 300mAs, 10mm Dose varies linearly with tube current 30 Body 20 10 Head 40 30 Body 20 10 0 0 As you decrease dose, you increase noise tube voltage (kVp) tube current (mAs) (usually decrease image quality) – No Free Lunch 80 100 120 140 100 90 300 400 70 120kVp, 300mAs 80 120kVp, 300mAs 60 Head 70 Head 50 60 CTDI_w(mGy) CTDI_vol(mGy) 200 50 Body 40 30 40 Body 30 20 20 10 10 0 0 0 0.5 1 1.5 helical pitch 2 2.5 4 Adaped from McNitt-Gray, “Radiation Dose in CT”, Radiographics, 2002, 22:1541-1553. 8 12 16 multislice collimation (mm) 20 Alessio, 44 RadioGraphic Table 3 Longitudinal Tube Current Modulation Systems Characteristic Product name Requires CT projection radiograph Modulation algorithm Online feedback GE Healthcare Auto mA Philips Siemens ... ... Toshiba Real E.C. Automatic Exposure Control Yes Attenuation based No ... ... ... ... ... ... Yes Attenuation based No variesTube between Current anatomic regions (Fig 3). Details • Modulate based regarding implementation by several manufacturon patient ers arespecific given in Tableinformation 3. in the Angular-Longitudinal Tube Current Modulation – Longitudinal (z-axis) The simultaneous combination of angular and – for example: AutoMA Z-DOM longitudinal (x-, (GE), y-, and z-axis)(Philips), tube current CareDose (Siemens) modulation involves variation of the tube current both during gantry rotation and along the z-axis Angular Direction of the patient (ie, from the anteroposterior direction to the lateral direction, and from the shoulders to the abdomen). The operator must still indicate the desired level of image quality by one of the methods described earlier. This is the most comprehensive approach to CT dose reduction because the x-ray dose is adjusted according to the patient-specific attenuation in all three planes. Details regarding the implementation of this dose modulation technique by several manufacturers are given in Table 4. A graphic illustration of this approach is shown in Figure 4. • On average, can achieve ~20% (3-45%) dose reductions at matched quality* Figure 3. Graph of tube current (in milliamperes) Graph of tube superimposed superimposed on a current CT projection radiograph illustrates concept of longitudinal dose modulation, with varionthe CT projection radiograph showing ation of the tube current along the z-axis. The curve is longitudinal modulation* determined by using attenuation data from the CT projection radiograph and the manufacturer-specific algorithm. Automatic Exposure Control AEC is analogous to acquisition timing in general z-axis, or during movement in all three dimen- to-noise ratio), and the CT system determines the right tube current–time product. In practice, it is relatively straightforward for the system to deliver the desired image quality, once that has been de- differentiate between the modulation of the tube Alessio, 45 current to achieve a defined image quality, and the prescription of the desired image quality by the user. Together these tasks are referred to as *McCollough CH, et al.user CTdetermines dose reduction and dose management overview of and sions, according to thetools: patient’s body habitus radiography. The the image qualthe user’s image quality requirements. Thus, we requirements (as regards noise 2006;26:503-512. or the contrastavailableityoptions. Radiographics. Comparison of Typical Doses Hybrid CT Acquisitions Study Technique Effective Dose (mSv) 20 mCi Tc99m MDP (740 MBq) 4.2 Stress:Rest Tc99m trofosmin (40:10 mCi) 13 CT for diagnostic purposes [110-200] mAs1 CTDIvol = [8-14] mGy 11-20 CT for anatomic localization [30-60] mAs3 CTDIvol = [2-4] mGy 3-6 CT for attenuation correction only [5-10] mAs4 CTDIvol = [0.3-1.0] mGy 0.5-1.0 NM Bone Scan High-low Myocardial Perfusion For ease of comparison, all CT studies performed with 120kVp, pitch 1.375, 40mm collimation, 900 mm scan range, average tube current-time product is presented NM Dosimetry: ICRP. Radiation dose to patients from radiopharmaceuticals: (Addendum 2 to ICRP Publication 53) ICRP Publication 80 Approved by the Commission in September 1997. 1998. CT Dosimetry: CT dosimetry tool. London: ImPACT, St. George's Healthcare NHS Trust; 2007. Alessio, 46 Summary Dose Reduction is possible through • Operational Dose Savings: – Rational Protocol Selection – Potentially use reference levels to align with peer institutions • Technology Dose Savings: – – – – Application-specific geometries (SPECT, PET) Improved collimators (SPECT) Improved detectors (SPECT, PET, and CT) Improved image reconstruction (SPECT, PET, and CT) • Review software is critical part of realizing potential of hybrid devices Thank You Adam Alessio [email protected] Alessio, 47