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1.
J Nucl Cardiol ; 28(4): 1334-1346, 2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-31388967

RESUMO

BACKGROUND: Patient motion during pharmacological stressing can have substantial impact on myocardial blood flow (MBF) estimated from dynamic PET. This work evaluated a motion correction algorithm with and without adjustment of the PET attenuation map. METHODS: Frame-by-frame motion correction was performed by three users on 30 rubidium-82 studies. Data were divided equally into three groups of motion severity [mild (M1), moderate (M2) and severe (M3)]. MBF data were compared for non-motion corrected (NC), motion-corrected-only (MC) and with adjustment of the attenuation map (MCAC). Percentage differences of MBF were calculated in the coronary territories and 17-segment polar plots. Polar plots of spill-over were also generated from the data. RESULTS: Median differences of 23% were seen in the RCA and 18% for the LAD in the M3 category for MC vs NC images. Differences for MCAC vs MC images were considerably smaller and typically < 10%. Spill-over plots for MC and MCAC were notably more uniform compared with NC images. CONCLUSION: Motion correction for dynamic rubidium data is desirable for future MBF software updates. Adjustment of the PET attenuation map results in only marginal differences and therefore is unlikely to be an essential requirement. Assessing the uniformity of spill-over plots is a useful visual aid for verifying motion correction techniques.


Assuntos
Doença da Artéria Coronariana/diagnóstico por imagem , Circulação Coronária/fisiologia , Processamento de Imagem Assistida por Computador , Movimento (Física) , Imagem de Perfusão do Miocárdio , Tomografia por Emissão de Pósitrons , Doença da Artéria Coronariana/fisiopatologia , Humanos , Reprodutibilidade dos Testes , Estudos Retrospectivos , Radioisótopos de Rubídio
2.
IEEE Trans Med Imaging ; 38(5): 1216-1226, 2019 05.
Artigo em Inglês | MEDLINE | ID: mdl-30452353

RESUMO

The estimation of myocardial blood flow (MBF) in dynamic PET can be biased by many different processes. A major source of error, particularly in clinical applications, is patient motion. Patient motion, or gross motion, creates displacements between different PET frames as well as between the PET frames and the CT-derived attenuation map, leading to errors in MBF calculation from voxel time series. Motion correction techniques are challenging to evaluate quantitatively and the impact on MBF reliability is not fully understood. Most metrics, such as signal-to-noise ratio (SNR), are characteristic of static images, and are not specific to motion correction in dynamic data. This study presents a new approach of estimating motion correction quality in dynamic cardiac PET imaging. It relies on calculating a MBF surrogate, K1 , along with the uncertainty on the parameter. This technique exploits a Bayesian framework, representing the kinetic parameters as a probability distribution, from which the uncertainty measures can be extracted. If the uncertainty extracted is high, the parameter studied is considered to have high variability - or low confidence - and vice versa. The robustness of the framework is evaluated on simulated time activity curves to ensure that the uncertainties are consistently estimated at the multiple levels of noise. Our framework is applied on 40 patient datasets, divided in 4 motion magnitude categories. Experienced observers manually realigned clinical datasets with 3D translations to correct for motion. K1 uncertainties were compared before and after correction. A reduction of uncertainty after motion correction of up to 60% demonstrates the benefit of motion correction in dynamic PET and as well as provides evidence of the usefulness of the new method presented.


Assuntos
Circulação Coronária/fisiologia , Coração , Processamento de Imagem Assistida por Computador/métodos , Tomografia por Emissão de Pósitrons/métodos , Idoso , Algoritmos , Teorema de Bayes , Feminino , Coração/diagnóstico por imagem , Coração/fisiologia , Humanos , Masculino , Pessoa de Meia-Idade , Movimento/fisiologia , Reprodutibilidade dos Testes
3.
J Nucl Cardiol ; 25(4): 1286-1295, 2018 08.
Artigo em Inglês | MEDLINE | ID: mdl-28054183

RESUMO

BACKGROUND: Patient motion has been demonstrated to have a significant impact on the quality and accuracy of rubidium-82 myocardial perfusion PET/CT. This study aimed to investigate the effect on patient motion of two pharmacological stressing agents, adenosine and regadenoson. METHODS AND RESULTS: Dynamic data were retrospectively analyzed in 90 patients undergoing adenosine (n = 30), incremental adenosine (n = 30), or regadenoson (n = 30) rubidium-82 myocardial perfusion PET/CT. Severity of motion was scored qualitatively using a four-point (0-3) scale and quantitatively using frame-to-frame pixel shifts. The type of motion, returning or non-returning, and the frame in which it occurred were also recorded. There were significant differences in both the qualitative and quantitative scores comparing regadenoson to adenosine (P = .025 and P < .001) and incremental adenosine (P = .014, P = .015), respectively. The difference in scores between adenosine and incremental adenosine was not significant. Where motion was present, significantly more adenosine patients were classed as non-returning (P = .018). The median frames for motion occurring were 12 for regadenoson and 14 for both adenosine cohorts. CONCLUSIONS: The choice of stressing protocol impacts significantly on patient motion. Patients stressed with regadenoson have significantly lower motion scores than those stressed with adenosine, using local protocols. This motion is more likely to be associated with a drift of the heart away from a baseline position, coinciding with the termination of infusion.


Assuntos
Adenosina/farmacologia , Imagem de Perfusão do Miocárdio/métodos , Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada/métodos , Purinas/farmacologia , Pirazóis/farmacologia , Radioisótopos de Rubídio , Adulto , Idoso , Idoso de 80 Anos ou mais , Circulação Coronária/efeitos dos fármacos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Movimento (Física) , Respiração/efeitos dos fármacos , Estudos Retrospectivos
4.
J Nucl Cardiol ; 24(2): 596-604, 2017 04.
Artigo em Inglês | MEDLINE | ID: mdl-26809437

RESUMO

BACKGROUND: There is a growing focus on reducing radiation dose to patients undergoing myocardial perfusion imaging. This preliminary phantom study aims to evaluate the use of general-purpose collimators with resolution recovery (RR) to allow a reduction in patient radiation dose. METHODS: Images of a cardiac torso phantom with inferior and anterior wall defects were acquired on a GE Infinia and Siemens Symbia T6 using both high-resolution and general-purpose collimators. Imaging time, a surrogate for administered activity, was reduced between 35% and 40% with general-purpose collimators to match the counts acquired with high-resolution collimators. Images were reconstructed with RR with and without attenuation correction. Two pixel sizes were also investigated. Defect contrast was measured. RESULTS: Defect contrast on general-purpose images was superior or comparable to the high-resolution collimators on both systems despite the reduced imaging time. Infinia general-purpose images required a smaller pixel size to be used to maintain defect contrast, while Symbia T6 general-purpose images did not require a change in pixel size to that used for standard myocardial perfusion SPECT. CONCLUSION: This study suggests that general-purpose collimators with RR offer a potential for substantial dose reductions while providing similar or better image quality to images acquired using high-resolution collimators.


Assuntos
Imagem de Perfusão do Miocárdio/instrumentação , Exposição à Radiação/análise , Exposição à Radiação/prevenção & controle , Proteção Radiológica/instrumentação , Tomografia Computadorizada de Emissão de Fóton Único/instrumentação , Desenho de Equipamento , Análise de Falha de Equipamento , Imagens de Fantasmas , Projetos Piloto , Doses de Radiação , Reprodutibilidade dos Testes , Sensibilidade e Especificidade
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