Evaluation of the image quality in computed tomography: different phantoms



Similar documents
Lasers and Specturbility of Light Scattering Liquids - A Review

American College of Radiology CT Accreditation Program. Testing Instructions

PET/CT QC/QA. Quality Control in PET. Magnus Dahlbom, Ph.D. Verify the operational integrity of the system. PET Detectors

What is the Radiotherapy Quality Control Program (PQRT) of the National Cancer Institute Rio de Janeiro/Brazil?

QUANTITATIVE IMAGING IN MULTICENTER CLINICAL TRIALS: PET

CT Protocol Optimization over the Range of CT Scanner Types: Recommendations & Misconceptions

TA3 Dosimetry and Instrumentation. Evaluation of the Field Size in Dental Diagnostic Radiology System ANDRADE PS 1, POTIENS MP 1

Prepublication Requirements

How To Improve Your Ct Image Quality

Cynthia H. McCollough b) and Michael R. Bruesewitz Department of Radiology, Mayo Clinic College of Medicine, Rochester, Minnesota 55905

2/28/2011. MIPPA overview and CMS requirements. CT accreditation. Today s agenda. About MIPPA. Computed Tomography

PERFORMANCE EVALUATION OF THE REFERENCE SYSTEM FOR CALIBRATION OF IPEN ACTIVIMETERS

Purchasing a cardiac CT scanner: What the radiologist needs to know

WHERE IN THE WORLD JILL LIPOTI?

DEVELOPMENT AND IMPLEMENTATION OF AN AUTOMATED SYSTEM TO EXCHANGE ATTENUATORS OF THE OB85/1 GAMMA IRRADIATOR

The disclaimer on page 1 is an integral part of this document. Copyright February 23, 2016 by AAPM. All rights reserved.

Quality Control of Full Field Digital Mammography Units

Implementation of Cone-beam CT imaging for Radiotherapy treatment localisation.

Portuguese Health Physics Society: Calibrating Pen Dosimeters with and without a Phantom

Moving Forward What does this mean for the Medical Physicist and the Imaging Community?

Quality Control and Maintenance Programs

Determination of the Effective Energy in X-rays Standard Beams, Mammography Level

CT RADIATION DOSE REPORT FROM DICOM. Frank Dong, PhD, DABR Diagnostic Physicist Imaging Institute Cleveland Clinic Foundation Cleveland, OH

Assessing Radiation Dose: How to Do It Right

SUITABILITY OF RELATIVE HUMIDITY AS AN ESTIMATOR OF LEAF WETNESS DURATION

MODELING AND IMPLEMENTATION OF THE MECHANICAL SYSTEM AND CONTROL OF A CT WITH LOW ENERGY PROTON BEAM

REGULATION: QUALITY ASSURANCE PROGRAMS FOR MEDICAL DIAGNOSTIC X-RAY INSTALLATIONS N.J.A.C. 7:28-22

A COMPUTATIONAL PHANTOM OF HEAD AND NECK - SISCODES

Rem: Revista Escola de Minas ISSN: Escola de Minas Brasil

TLD ALBEDO DOSIMETER PERFORMANCE ON A Hp(10) NEUTRON DOSE IAEA INTERCOMPARISON

Clinic. ED Trauma Trauma Stroke. OR Neuro/Spine. Critical Care. Neuro ENT. Diagnostic. Pediatric. Radiology. Plastics Thoracic. Neuro.

SUBCHAPTER 22 QUALITY ASSURANCE PROGRAMS FOR MEDICAL DIAGNOSTIC X-RAY INSTALLATIONS

SITE IMAGING MANUAL ACRIN 6698

3D SCANNERTM. 3D Scanning Comes Full Circle. s u n. Your Most Valuable QA and Dosimetry Tools A / B / C. The 3D SCANNER Advantage

DETERMINATION OF THE EFFECTIVE VOLUME OF AN EXTRAPOLATION CHAMBER FOR X-RAY DOSIMETRY

M D Anderson Cancer Center Orlando TomoTherapy s Implementation of Image-guided Adaptive Radiation Therapy

HARVESTING AND WOOD TRANSPORT PLANNING WITH SNAP III PROGRAM (Scheduling and Network Analysis Program) IN A PINE PLANTATION IN SOUTHEAST BRAZIL 1

Data. microcat +SPECT

INTRODUCTION. A. Purpose

STUDIES FOR A MULTIPURPOSE RESEARCH REACTOR FOR THE CRCN/CNEN-PE

Fundamentals of Cone-Beam CT Imaging

Multi-slice Helical CT Scanning of the Chest

ENERGETIC EFFICIENCY OF AN AGRICULTURAL TRACTOR IN FUNCTION OF TIRE INFLATION PRESSURE

HYBRID INTELLIGENT SUITE FOR DECISION SUPPORT IN SUGARCANE HARVEST

IGRT. IGRT can increase the accuracy by locating the target volume before and during the treatment.

CT QC Under the ACR QC Manual. What? There s a Manual?? Learning Objectives 8/6/12! ! YES!!! Almost. ! Doesn t have a pretty cover yet

IMPROVEMENT OF GAMMA CALIBRATION PROCEDURES WITH COMMERCIAL MANAGEMENT SOFTWARE

Quality Assurance of Radiotherapy Equipment

kv-& MV-CBCT Imaging for Daily Localization: Commissioning, QA, Clinical Use, & Limitations

R/F. Efforts to Reduce Exposure Dose in Chest Tomosynthesis Targeting Lung Cancer Screening. 3. Utility of Chest Tomosynthesis. 1.

Improvement and storage of conventional mammography images using techniques of digital image processing

Physics testing of image detectors

Manual for Accreditation of Agencies for Quality Assurance of Diagnostic X-ray Equipment

CT scanning. By Mikael Jensen & Jens E. Wilhjelm Risø National laboratory Ørsted DTU. (Ver /9/07) by M. Jensen and J. E.

VIRTUAL INSTRUMENTATION ON MOBILE DEVICES FOR DEPLOYMENT IN NUCLEAR INSTALLATIONS

Accreditation Is Coming

Use of the VALIDATOR Dosimetry System for Quality Assurance and Quality Control of Blood Irradiators

TEACHING CALCULUS USING E-LEARNING IN A MOODLE PLATFORM

Phantom Test Guidance

IAEA HUMAN HEALTH SERIES

How To Test Water Penetration On Concrete Block And Mortar

Q.A. Collectible. Sponsored by CRCPD s Committee on Quality Assurance in Diagnostic X-Ray (H-7)

The Whys, Hows and Whats of the Noise Power Spectrum. Helge Pettersen, Haukeland University Hospital, NO

Performance testing for Precision 500D Classical R/F System

ESCOAMENTO DO AR EM ARMAZÉM GRANELEIRO DE GRANDE PORTE COM SISTEMA DE AERAÇÃO SIMULATION OF AIR FLOW IN LARGE AERATED GRAIN STORAGE

Quantitative Imaging In Clinical Trials Using PET/CT: Update

The disclaimer on page 1 is an integral part of this document. Copyright March 1, 2016 by AAPM. All rights reserved.

DOSIMETRIC CHARACTERIZATION OF DYED PMMA SOLID DOSIMETERS FOR GAMMA RADIATION

How To Test The Quality Of A Radiography Display

MDCT Technology. Kalpana M. Kanal, Ph.D., DABR Assistant Professor Department of Radiology University of Washington Seattle, Washington

Surveying and QC of Stereotactic Breast Biopsy Units for ACR Accreditation

Radiation Therapy. 1. Introduction. 2. Documentation of Compliance. 3. Didactic Competency Requirements. 4. Clinical Competency Requirements

Spiral CT: Single and Multiple Detector Systems. AAPM Refresher Course Nashville, TN July 28,1999

TISSUE MIMICKING GEL QUALITY LE PHANTOM SERIES DESIGN. performance the ultrasound labs ofand. icking material has the same attenuation mim-

Chest CT protocols. Mannudeep K. Kalra, MD, DNB. Dianna D. Cody, PhD. Massachusetts General Hospital Harvard Medical School

Thinking ahead. Focused on life. REALIZED: GROUNDBREAKING RESOLUTION OF 80 µm VOXEL

VoxelDose: A SOFTWARE FOR DOSIMETRIC EVALUATIONS IN X-RAY DIAGNOSES

Practical exercise: Effective dose estimate in CT

Concepts for High-Resolution Low-Dose CT of the Breast

Proton tracking for medical imaging and dosimetry

CURRICULUM VITAE. Kalpana M. Kanal, Ph.D., DABR

IQWorks progress to date and how you can get involved. Ed McDonagh, Andrew Reilly

QUESTIONÁRIOS DE AVALIAÇÃO: QUE INFORMAÇÕES ELES REALMENTE NOS FORNECEM?

Transcription:

Artigo Original Revista Brasileira de Física Médica.2011;5(1):67-72. Evaluation of the image quality in computed tomography: different phantoms Avaliação da qualidade de imagem na tomografia computadorizada: diferentes fantomas Vinicius C. Silveira 1, Larissa C. Oliveira 2, Rômulo S. Delduck 1, Simone Kodlulovich 1, Fernando A. Mecca³ and Humberto O. Silva 4 1 Instituto de Radioproteção e Dosimetria, Comissão Nacional de Energia Nuclear (CNEN), Rio de Janeiro (RJ), Brazil. 2 Nuclear Instrumentation Laboratory / Instituto Alberto Luiz Coimbra de Pós-graduação e pesquisa de Engenharia (COPPE), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro (RJ), Brazil. 3 National Institute of Cancer (INCa), Rio de Janeiro (RJ), Brazil. 4 Copa D Or Hospital, Rede Labs D Or, Rio de Janeiro (RJ), Brazil. Abstract The aim of this paper was to compare the simulators provided by the CT manufactures and Catphan s Phantom with the American College of Radiology (ACR) computed tomography phantom. The image evaluation followed the protocols established by the manufactures of the phantoms. For slice thickness evaluation, the maximum percentage difference was 9% between the phantoms ACR and Siemens. In CT number accuracy test, the measurements of CT number of water showed a difference of 10 HU between the CT simulators. Comparing the uniformity results, the discrepancy was 11% and 55% for Siemens and Philips respectively in relation to the result obtained with the ACR phantom. The result of low contrast was the same for all phantoms. The MTF50 and MTF10 obtained with Siemens phantom was 4 and 8 pl/mm. For Catphan, 6 and 7 pl/mm. Results demonstrate that the ACR simulator was the most comprehensive and flexible to be used in several scanner models. Some simulators did not present all image quality indicators to perform a complete test. Keywords: computed tomography, image quality, phantoms. Resumo O objetivo deste trabalho foi comparar os simuladores fornecidos pelos fabricantes de tomógrafos e o fantoma Catphan com o fantoma de tomografia computadorizada do Colégio Americano de Radiologia (ACR). A avaliação da imagem seguiu os protocolos estabelecidos pelos fabricantes dos fantomas. Para a avaliação da espessura de corte, a maior diferença foi de 9% entre os fantomas ACR e Siemens. No teste de exatidão do número de CT, as medidas do número de CT da água mostraram uma diferença de 10 HU entre os fantomas de CT. Comparando os resultados de uniformidade, a discrepância foi de 11% e 55 % para os fantomas da Siemens e da Philips em relação ao valor obtido com o fantoma do ACR. O resultado de baixo contraste foi o mesmo para todos os fantomas. Os valores de MTF50 e MTF10 para a resolução de alto contraste do Siemens foram 4,2 e 7,6 pl/mm e para o Catphan, 6 e 7 pl/mm. Os resultados demonstraram que o simulador do ACR foi o mais compreensivo e flexível a ser usado em diversos modelos de tomógrafos. Alguns simuladores não apresentaram dados suficientes para realizar o teste completo. Palavras-chave: tomografia computadorizada, qualidade da imagem, fantomas. Introduction The optimization program includes an evaluation of the image quality. Each manufacture has developed a specific simulator for their computed tomography (CT) scanner. These phantoms present differences in the physical indicators to evaluate image quality, values of tolerance, and especially the procedure to carry out the tests. The American College of Radiology (ACR) CT phantoms have been used in an accreditation program in the USA. By applying a standard methodology, it is possible to evaluate and to compare scanners from all manufactures or models. The minimum physical indicators recommended for the evaluation of image quality are: positioning of coach, CT number accuracy, slice width, low contrast resolution, high contrast (spatial) resolution, CT number uniformity, and noise. However, several simulators do not have these indicators to conduct a full assessment. Despite of the increase of multi-slice scanners in Latin America, hospitals do not have personnel trained, Corresponding author: Vinicius da Costa Silveira Institute of Radioprotection and Dosimetry Av. Salvador Allende, s/n Recreio dos Bandeirantes Rio de Janeiro (RJ), Brazil E-mail: vinicius@ird.gov.br Associação Brasileira de Física Médica 67

Silveira VC, Oliveira LC, Delduck RS, Kodlulovich S, Mecca FA, Silva HO instrumentation, and phantoms to implement the quality assurance program. Nowadays, the regulatory authority does not have any information about the performance of scanners of the services. Besides, countries of Latin America do not have a CT accreditation program. Consequently, there is no information about patient dose and image quality. The aim of this paper was to compare the simulators provided by the manufactures and the Catphan s Phantom with the ACR CT Phantom. The image evaluation followed the protocol established by the manufacture of each phantom. s and methods The phantoms evaluated were provided by General Electric (GE), Siemens, Philips, Catphan 500, and ACR CT Phantom. Image quality tests were performed in three scanners: Philips Brilliance 40, GE Light speed and Siemens Somaton, with their respective simulators and the CT ACR Phantom. Additional tests were carried out in the public hospital with Catphan 500 and ACR phantom on the scanner Picker. Figure 1. (a) Catphan 500; (b) ACR. Table 1. Quality assurance of each manufacturer Test QA CAT¹ ACR GE PHI² SI³ Collimation x x x x x Accuracy of # CT x x x* x x* Pixel Size x - - - - High Contrast x x x x x Low Contrast x x x x x Noise and Uniformity x x x x x Contrast scale x x x x x Alignment x x - - x Accuracy laser light - - x - - x* - only water and air QA: quality assurance; 1 CAT: Catphan; 2 PHI: Philips; 3 SI: Siemens. A Figure 2. (a) Phantom Philips / Brilliance 40; (b) Phantom GE/ Light speed). A B B Simulators characteristics The simulators have distinct characteristics, according to the specificity of the test performed. The Catphan 500 1 (Figure 1a) is made in The Phantom Laboratory Incorporated, in New York. It is a solid Phantom containing four modules: CTP528, 21 line-pair high resolutions; CTP 515, sub-slice and supra-slice low contrast; CTP404, position verification, slice width, sensitometry and pixel size; CTP486, solid image uniformity module. The ACR 2 CT accreditation phantom (Figure 1b) is a solid phantom containing four modules, constructed primarily from solid water. There are external markings (BBs) on the first and last module to allow the alignment of the phantom in the axial, coronal, and sagittal directions. Using this phantom, it is possible to evaluate alignment, CT number accuracy, slice width, low and high contrast resolution, uniformity, and noise. The Philips Phantom 3 (Figure 2a) has two parts: head and body. The part of the head contain: physical layer, impulse response and slice width; water layer, noise and uniformity; multi-strip, contrast scale and sensitometry. The part of the body contain: a Teflon strip and water hole. GE s Phantom (Figure 2b) for scanners of light speed series can evaluate six quality image criteria: contrast scale, resolution of high and low contrast, noise, uniformity, slice width, accuracy of laser, and linearity of CT number 4. It is divided into three parts: resolution s block, contrast membrane, and water hole. The Siemens Phantom for Somaton scanners contains a number of modules suitable for testing different CT image quality characteristics, such as: slice thickness, impulse response, CT number accuracy (water and air), high and low contrast, noise and uniformity, and alignment. Table 1 presents the proposed tests by each manufacturer. For this study, the following were compared: collimation, accuracy and linearity of CT number, evaluation of high and low contrast, noise and uniformity, and contrast scale. Therefore, they demonstrate the adequacy to a proper image quality evaluation of each phantom. Experimental setup Simulators were placed and aligned using light beams of the scanners. All phantoms are cylindrical; the alignment in the gantry was performed considering sagittal and coronal projections. The position was determined by specifics marks of each simulator. The evaluation followed the respective manual of the manufacture. To compare the ACR and Catphan phantoms, the head routine protocol on axial acquisition was used. Results and discussion Siemens Somaton Phantom Table 2 shows the results of slice thickness to ACR and Siemens phantoms on Siemens/Somaton. 68 Revista Brasileira de Física Médica.2011;5(1):67-72.

Evaluation of the image quality in tomography computed: different phantoms In Table 2, the maximum difference between the results obtained with the phantoms was 9% for the slice width with 10 mm. In relation to nominal slice, differences were lower than 3% for Siemens and 10% for ACR. Philips In this study, it was possible to compare the phantoms results only for 5 mm slice thickness (Table 3), in which the result obtained was equal for both phantoms and nominal slice thickness. For 10 mm, the percentage difference between the nominal and ACR was of 46%. CT GE Hi-Speed In the Table 4, for nominal 3 mm slice thickness, the Phantoms GE and ACR presented the same values. For the other thicknesses (5, 7 and 10), we could only obtain the comparison with nominal values. For ACR measurements, the values for 3 and 7 mm were the same of the selected. For GE, the difference between the measured and the nominal values was 5%. CT Picker Table 5 presents the slice thickness measurements using Catphan and ACR phantoms. For all nominal slice thickness, the differences between the phantoms results were 5%. Comparing with the nominal value of 3 mm, the percentage difference was approximately 40%. Table 2. Comparison of slice thickness measured with the CT Somaton phantom and ACR Nominal slice measured (mm) thickness (mm) Phantom ACR Phantom Siemens D (%) 2 2.5 2.3 8 3 3.0 3.2 7 10 9.0 9.8 9 Table 3. for CT Brilliance, Philips selected measure (mm) selected (mm) Phantom ACR Phantom Philips 5 5 5 7 10 - Table 4. for CT Hi-Speed, GE selected measure (mm) selected (mm) Phantom ACR Phantom GE 3 3.0 3.0 5-5.0 7 7.0-10 - 9.5 Table 5. for CT Picker selected measure (mm) selected (mm) Phantom ACR Phantom Catphan 3 2,2 2,1 5 5 5,1 10 10 10 CT number accuracy Siemens phantoms Table 6 presents the accuracy values of the CT number carried out with ACR and Siemens Phantoms. The Siemens Phantom only has water and air inserts. Important structures, like soft tissue and bone, are not available. For all cases, the values are in the tolerance range. CT Brillance, Philips Table 7 presents the results of CT number accuracy with ACR and Philips Phantoms. For polyethylene and acrylic, the results showed a difference of 14 and 2%, respectively. For water, although the values were in accordance to the tolerance, the value measured with ACR phantom was approximately 7 HU. Philips Phantom does not have a material similar to air. Therefore, with the exception of acrylic, the CT number accuracy was adequate. CT Hi-Speed, GE In Table 8, the results of the CT number accuracy for CT Hi-Speed from GE are presented. In this case, water is the only common material in the phantoms. The result to the discrepancy was 43% between the simulators. Table 6. Accuracy of CT number for CT Somaton, Siemens Phantom ACR Phantom Siemens Reference (HU) Polyethylene -90.5 - -107 and 87 Water 0-1.0-7 and +7 Acrylic 126.7 - + 110 and 130 Bone 894.0 - + 850 and 970 Air - 983.1-999.0-1,005 and 970 Table 7. Accuracy of CT number for CT Brillance, Philips Phantom ACR Phantom Philips Reference (HU) Polyethylene -81.2-70 - 107 and 87 Water 5.7 0-7 and +7 Acrylic 136.6 140 + 110 and 130 Bone 893.7 - + 850 and 970 Air -973.9 - -1,005 and 970 Table 8. Accuracy of CT number for CT Hi-Speed, GE Phantom ACR Phantom GE Reference (HU) Polyethylene -90.4 - - 107 and 87 water -0.7-0.4-7 and +7 Acrylic 124.9 - + 110 and 130 Bone 917.2 - + 850 and 970 Air -985.1 - - 1,005 and 970 Polyethyrene - -1,1 - Revista Brasileira de Física Médica.2011;5(1):67-72. 69

Silveira VC, Oliveira LC, Delduck RS, Kodlulovich S, Mecca FA, Silva HO Picker The CT numbers obtained with ACR and Catphan Phantoms are presented in Table 9. For polyethylene and air, the discrepancy between results was of 4 and 1%, respectively. The reading of water had a very high discrepancy between phantoms. Low contrast resolution The Siemens and ACR Phantoms contain low contrast groups of objects inside a similar background with different sizes. For both phantoms, groups with 5 and 2 mm diameter were identified applying the manuals. For Philips Brilliance CT, we could not visualize the group of 5 mm as the manufacture in ACR and Philips. The GE Phantoms contain a polystyrene membrane suspended in water with holes with diameters of 10, 7.5, 5, 3 and 1 mm. It was observed holes of 3 mm. The differences between CT number of the membrane and water are equal to 10 (contrast level). In the Catphan 500, the contrast levels are measured marking region of interest (ROIs) over the largest target visualised in supra-slice, sub-slice, and in the background (Table 10). With the ACR s Phantom, inserts of 6 mm were visualized inserts by applying head s protocols. With the Catphan, the smallest diameter discernible was 5 mm for supra (0.3% contrast level) and 5 mm for sub-slice (1% contrast level). Uniformity and noise Table 10 presents the results of uniformity and noise according to ACR manual for all scanners. For Siemens CT scanner using its own phantom, it was possible to evaluate only uniformity. ACR showed a uniformity of -0.6 HU and Siemens, 7.3 HU. The results were satisfactory. The results to the Hi-Speed GE Scanner and Philips Brilliance by uniformity and noise using their own simulator were satisfactory. Nevertheless, when comparing to the ACR, the values for uniformity and noise were respectively 3.4 HU and 2.4 to GE and -1.4 HU and 4.8 to ACR. For Philips, the noise showed a difference of 16% in relation to the manufactures tolerance. Compared with the ACR, the # CT was 55% superior and the standard deviation was 20% lower. For the Picker, the value of uniformity obtained by Catphan was 8.7 HU and 10.4 with the ACR. The maximum values of noise were 9.1 with the Catphan and 7 with ACR phantom. High contrast resolution Table 11 shows the results to the test of high contrast carried out with the ACR Phantom on scanners: Philips, Siemens, and Picker. 1 Results to the CT GE using the own phantom of manufacturer presented a difference between the measured and reference value (18%) equal to 17%. To the Siemens and Catphan phantom, the MTF method was used to quantify the values of high resolution. The results obtained for Siemens and Picker scanners were according to the manufacturer s tolerances (Tables 12 and 13). Table 9. Accuracy of CT number for CT Picker Phantom ACR Phantom Catpham Reference (HU) Polyethylene -98,2-94,4-107 and 87 Water 10,1 0-7 and +7 Acrylic 133 120 +110 and 130 Bone 978 - +850 and 970 Air -974,6-980 -1005 and 970 Table 10. Uniformity and noise Phantom ACR Parameter / Position ± standard deviation CT Siemens CT Philips CT GE CT Picker Center (C) -0.4±5.2 3.8±6.9-1.4±4.8 10.4±5.2 3h -1.0±4.3 3.3±5.2-0.7±4.2 10.7±6.3 6h -2.3±4.7 4.1±5.5-0.1±4.9 11,0±7,0 9h -1.0±4.2 3.6±5.8-0.1±4.3 10,8±4,7 12h 0.3±4.2 4.1±5.4 0.4±4.2 11.6±4.8 Table 11. High contrast resolution - Phantom ACR Technique MTF (u) Nominal Value (lp/cm) Spatial frequency (pl/mm) CT Siemens CT Philips CT Picker Reference Abdomen adult 6 6-5 Chest Hi-Resolution 8 7-6 Head - - 7 - Table 12. High contrast resolution CT Siemens Tolerance (lp/cm) Measured value (lp/cm) Conform 50% 4,50 0,45 4,2 y 10% 8,00 0,80 7,6 y 2% 10,00 1,00 9,6 y Table 13. High contrast resolution CT Picker MTF (u) (%) Value (lp/cm) Tolerance (lp/cm) 60 5 ±50 % 50 6 ±50 % 8 7 ±50 % 70 Revista Brasileira de Física Médica.2011;5(1):67-72.

Evaluation of the image quality in tomography computed: different phantoms Conclusions Evaluation of slice thickness showed similar results for all phantoms. For the accuracy of CT number, the water s CT number showed a very large discrepancy for all simulators. The GE and Siemens Phantoms do not have the structures to simulate soft and high materials, which are necessary to image quality evaluation. For low contrast resolution, all phantoms showed equivalent results. For uniformity and noise, GE and Siemens phantoms presented results with a very large discrepancy in relation to ACR. However, Philips and Cathan Phantoms showed equivalent results. Results demonstrate that the ACR simulator was the most comprehensive and flexible for use in several scanner models. It also had all the tests recommend by the International Image Quality Assurance 5. References 1. Goodenough DJ. CatPhan 504 Manual Laboratories Incorporated, Copyright 2009. 2. American College of Radiology. Instruction Manual for testing the ACR CT Phantom. Preston White Drive: Reston VA, 1891. 3. Philips Medical System 4535 673 86351_D Volume 1. 4. Manual manufacture GE 2211214-127 Rev. 5. European Commission. Quality Criteria for Computed Tomography. Working Document EUR 16262 (Brussels: EC) (1997). Revista Brasileira de Física Médica.2011;5(1):67-72. 71