Verification of phantom accuracy using a Monte Carlo simulation: bone scintigraphy chest phantom

Ito, Tatsuro; Tsuchikame, Hirotatsu; Ichikawa, Hajime; Onoguchi, Masahisa; Okuda, Koichi; Shibutani, Takayuki; Yokotsuka, Noriyo; Tomizawa, Hiroshi

doi:10.1007/s12194-021-00631-5

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…This is possibly attributed to the difference in Poisson noise between the actual measurements and simulation data. Ito et al [14] reported that in low-count portions, the noise ratio becomes nonuniform despite the improved resolution. Because the visual evaluation in this study was also based on the evaluation criterion of the low-count part of the defect area, we believe that it affected the visual evaluation results.…”

Section: Discussionmentioning

confidence: 99%

Usefulness of simulation in optimizing imaging settings for pediatric technetium-99m-dimercaptosuccinic acid single-photon emission computed tomography

Kurosawa

Kanzaki

Higuchi

et al. 2022

Nuclear Medicine Communications

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Purpose Technetium-99m (99mTc) dimercaptosuccinic acid (DMSA) single-photon emission computed tomography (SPECT) has been used to diagnose renal scarring. The Japanese Society of Nuclear Medicine recently revised the ‘Consensus Guidelines for Pediatric Nuclear Medicine Examination.’ In this study, we compared simulation data with actual data obtained using a pediatric phantom for 99mTc-DMSA examinations and evaluated the usefulness of simulations in determining the optimal acquisition conditions for SPECT images. Methods A SPECT quality assurance (QA) phantom study produced images with a renal-to-background 99mTc ratio of 283:1 kBq/ml. The projection data for the simulation were simulated using the simulation of imaging nuclear detectors. To compare the actual measurements and simulations, recovery factors were used for the SPECT QA phantom for image quality assessment. Defect contrast and visual evaluation using Scheffe’s method of pairwise comparison were used for the pediatric kidney phantom. Results The optimal imaging settings using a kidney phantom required an acquisition time of more than 8 min. The maximum difference in the recovery coefficient between the simulation and actual measurement using the SPECT QA phantom was 6%. Conclusion We showed that an acquisition time of more than 8 min was necessary for DMSA-SPECT. In addition, phantom simulations were approximately equivalent to the actual measurement data and the adaptability of simulations was confirmed.

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Section: Discussionmentioning

confidence: 99%

Usefulness of simulation in optimizing imaging settings for pediatric technetium-99m-dimercaptosuccinic acid single-photon emission computed tomography

Kurosawa

Kanzaki

Higuchi

et al. 2022

Nuclear Medicine Communications

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“…Projection data were generated using the Monte Carlo simulation code SIMIND provided by LUND University, Sweden 16 , 24 – 31 . This code considers photoelectric, incoherent, coherent interactions, and pair production in the detector and phantom.…”

Section: Methodsmentioning

confidence: 99%

Influence of brain atrophy using semiquantitative analysis in [123I]FP-CIT single-photon emission computed tomography by a Monte Carlo simulation study

Nosaka

Onoguchi

Tsushima

et al. 2022

Sci Rep

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The specific binding ratio (SBR) is an objective indicator of N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-[123I] iodophenyl) nortropane ([123I]FP-CIT) single-photon emission computed tomography (SPECT) that could be used for the diagnosis of Parkinson’s disease and Lewy body dementia. One of the issues of the SBR analysis is that the setting position of the volume of interest (VOI) may contain cerebral ventricles and cerebral grooves. These areas may become prominent during the brain atrophy analysis; however, this phenomenon has not been evaluated enough. This study thus used Monte Carlo simulations to examine the effect of brain atrophy on the SBR analysis. The brain atrophy model (BAM) used to simulate the three stages of brain atrophy was made using a morphological operation. Brain atrophy levels were defined in the descending order from 1 to 3, with Level 3 indicating to the most severe damage. Projection data were created based on BAM, and the SPECT reconstruction was performed. The ratio of the striatal to background region accumulation was set to a rate of 8:1, 6:1, and 4:1. The striatal and the reference VOI mean value were decreased as brain atrophy progressed. Additionally, the Bolt’s analysis methods revealed that the reference VOI value was more affected by brain atrophy than the striatal VOI value. Finally, the calculated SBR value was overestimated as brain atrophy progressed, and a similar trend was observed when the ratios of the striatal to background region accumulation were changed. This study thus suggests that the SBR can be overestimated in cases of advanced brain atrophy.

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Impact of bone-equivalent solution density in a thoracic spine phantom on bone single-photon emission computed tomography image quality and quantification

Matsutomo

Fukami

Yamamoto

2023

Radiol Phys Technol

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Verification of phantom accuracy using a Monte Carlo simulation: bone scintigraphy chest phantom

Cited by 4 publications

References 21 publications

Usefulness of simulation in optimizing imaging settings for pediatric technetium-99m-dimercaptosuccinic acid single-photon emission computed tomography

Usefulness of simulation in optimizing imaging settings for pediatric technetium-99m-dimercaptosuccinic acid single-photon emission computed tomography

Influence of brain atrophy using semiquantitative analysis in [123I]FP-CIT single-photon emission computed tomography by a Monte Carlo simulation study

Impact of bone-equivalent solution density in a thoracic spine phantom on bone single-photon emission computed tomography image quality and quantification

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