Fluctuation of quantitative values on acquisition time and the reconstruction conditions in 99mTc-SPECT

Tsujimoto, Masakazu; Shirakawa, Seiji; Teramoto, Akira; Ishiguro, Masanobu; Nakane, Kazuhisa; Ida, Yoshihiro; Toyama, Hiroshi

doi:10.1097/mnm.0000000000000854

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…A study by Tsujimoto et al. 40 evaluated the Gaussian post‐filter FWHM (4–12 mm) using NEMA body phantom. According to their findings, image quality improvement was achieved with 8 and 12 mm Gaussian filters on extending acquisition times of 50 s or more per projection angle.…”

Section: Discussionmentioning

confidence: 99%

“…Acquisition times of 8 and 15 s were associated with CNR > 5 for all sphere sizes (Figure 6), but a post-smoothing filter should be considered to suppress the noise. A study by Tsujimoto et al 40 evaluated the Gaussian post-filter FWHM (4-12 mm) using NEMA body phantom. According to their findings, image quality improvement was achieved with 8 and 12 mm Gaussian filters on extending acquisition times of 50 s or more per projection angle.…”

Section: Discussionmentioning

confidence: 99%

“…Acquisition times of 8 and 15 s were associated with CNR > 5 for all sphere sizes (Figure 6), but a post‐smoothing filter should be considered to suppress the noise. A study by Tsujimoto et al 40 . evaluated the Gaussian post‐filter FWHM (4–12 mm) using NEMA body phantom.…”

Section: Discussionmentioning

confidence: 99%

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Optimization of ^99mTc whole‐body SPECT/CT image quality: A phantom study

Alqahtani

Willowson

Constable

et al. 2022

J Applied Clin Med Phys

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Purpose Investigate the impact of acquisition time and reconstruction parameters on single‐photon emission computed tomography/computed tomography (SPECT/CT) image quality with the ultimate aim of finding the shortest possible acquisition time for clinical whole‐body SPECT/CT (WB‐SPECT/CT) while maintaining image quality Methods The National Electrical Manufacturers Association (NEMA) image quality measurements were performed on a SPECT/CT imaging system using a NEMA International Electrotechnical Commission (IEC) phantom with spherical inserts of varying diameter (10–37 mm), filled with 99mTc in activity sphere‐to‐background concentration ratio of 8.5:1. A gated acquisition was acquired and binned data were summed to simulate acquisitions of 15, 8, and 3 s per projection angle. Images were reconstructed on a Hermes (HERMES Medical Solutions AB, Stockholm, Sweden) workstation using eight subsets and between 4 and 24 iterations of the three‐dimensional (3D) ordered subset expectation maximization (OSEM) algorithm. Reconstructed images were post‐smoothed with 3D Gaussian filter ranging from 0 to 12 mm full‐width at half maximum (FWHM). Contrast recovery, background variability, and contrast‐to‐noise ratio were evaluated Results As expected, the spheres were more clearly defined as acquisition time and count statistics improved. The optimal iteration number and Gaussian filter were determined from the contrast recovery convergence and level of noise. Convergence of contrast recovery was observed at eight iterations while 12 iterations yielded stabilized values at all acquisition times. In addition, it was observed that applying 3D Gaussian filter of 8–12 mm FWHM suppressed the noise and mitigated Gibbs artifacts. Background variability was larger for small spheres than larger spheres and the noise decreased when acquisition time became longer. A contrast‐to‐noise ratio >5 was reached for the two smallest spheres of 10 and 13 mm at acquisition times of 8 s Conclusion Optimized reconstruction parameters preserved image quality with reduce acquisition time in present study. This study suggests an optimal protocol for clinical 99mTc SPECT/CT can be reached at 8 s per projection angle, with data reconstructed using 12 iterations and eight subset of the 3D OSEM algorithm and 8 mm Gaussian post‐filter.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Optimization of ^99mTc whole‐body SPECT/CT image quality: A phantom study

Alqahtani

Willowson

Constable

et al. 2022

J Applied Clin Med Phys

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“…SPECT image reconstruction was performed using Flash 3D [ 8 ] in a reconstruction algorithm. The number of subsets was eight, the number of iterations was 18, and the Gaussian filter was set to 8 mm [ 9 ]. Low-dose CT scans of the head and neck regions were performed as follows: tube voltage of 130 kV, tube current of 50 mAs, and matrix size of 512 × 512.…”

Section: Methodsmentioning

confidence: 99%

Quantitative evaluation of anti-resorptive agent-related osteonecrosis of the jaw using bone single photon emission computed tomography in clinical settings: relationship between clinical stage and imaging

et al. 2020

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Objective This study aimed to use quantitative values, calculated from bone single photon emission computed tomography (SPECT) imaging, to estimate the reliability of progression evaluation for anti-resorptive agent-related osteonecrosis of the jaw (ARONJ). Methods The study population consisted of 21 patients (23 lesions), clinically diagnosed with mandibular ARONJ, who underwent SPECT/CT scanning. Diagnosis and staging of ARONJ were performed according to the American Association of Oral and Maxillofacial Surgeons (AAOMS) definition and the recommendations of the International Task Force on ONJ. Hybrid SPECT/CT imaging quantitative analyses were performed on a workstation. Each volume of interest (VOI) was semi-automatically placed over a lesion with areas of high tracer accumulation, using the GI-BONE® software default threshold method settings. Additionally, control VOI was manually set over an unaffected area. Measured parameters included standardized uptake values (SUV)—maximum (SUVmax) and mean (SUVmean), metabolic bone volume (MBV)—the total volume above the threshold, and total bone uptake (TBU) as calculated by MBV × SUVmean. We also calculated the SUV ratio (rSUV) between the lesion and control area, factoring for differences in individual bone metabolism; the ratios were termed rSUVmax and rSUVmean, accordingly. The product of multiplying the rSUVmean by MBV of a lesion was defined as the ratio of TBU (rTBU). Quantitative values were compared between clinical stages by the Kruskal–Wallis test and subsequent post hoc analysis. Results MBVs (cm3) were: median, [IQR] Stage 1, 8.28 [5.62–9.49]; Stage 2, 15.28 [10.64–24.78]; and Stage 3, 34.61 [29.50–40.78]. MBV tended to increase with stage increase. Furthermore, only MBV showed a significant difference between clinical stages (p < 0.01). Subsequent post hoc analysis showed no significant difference between stages 1 and 2 (p = 0.12) but a significant difference between stages 2 and 3 (p = 0.048). rSUVmax and rTBU tended to increase with stage increase, but the differences between the stages were not significant (p = 0.10 and p = 0.055, respectively). Conclusion MBV, which includes the concept of volume, showed significant differences between clinical stages and tended to increase with the stage increase. As an objective and reliable indicator, MBV might be an adjunct diagnostic method for staging ARONJ.

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“…oestrogen), and unknown rates of uptake and clearance from the blood, amongst other factors. The system resolution, acquisition time, and reconstruction conditions, such as the number of iterations and subsets applied for an iterative reconstruction algorithm like ordered-subset expectation maximisation (OSEM), image filtering, scatter correction, and the method and parameters of attenuation correction, can also influence results (Chicco et al 2015 ; Tsujimoto et al 2018 ).…”

Section: Obstaclesmentioning

confidence: 99%

Does quantification have a role to play in the future of bone SPECT?

Ross

Vilić

Sanderson

et al. 2019

European J Hybrid Imaging

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Routinely, there is a visual basis to nuclear medicine reporting: a reporter subjectively places a patient's condition into one of multiple discrete classes based on what they see. The addition of a quantitative result, such as a standardised uptake value (SUV), would provide a numerical insight into the nature of uptake, delivering greater objectivity, and perhaps improved patient management. For bone scintigraphy in particular quantification could increase the accuracy of diagnosis by helping to differentiate normal from abnormal uptake. Access to quantitative data might also enhance our ability to characterise lesions, stratify and monitor patients' conditions, and perform reliable dosimetry for radionuclide therapies. But is there enough evidence to suggest that we, as a community, should be making more effort to implement quantitative bone SPECT in routine clinical practice? We carried out multiple queries through the PubMed search engine to facilitate a crosssectional review of the current status of bone SPECT quantification. Highly cited papers were assessed in more focus to scrutinise their conclusions. An increasing number of authors are reporting findings in terms of metrics such as SUV max. Although interest in the field in general remains high, the rate of clinical implementation of quantitative bone SPECT remains slow and there is a significant amount of validation required before we get carried away.

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Fluctuation of quantitative values on acquisition time and the reconstruction conditions in 99mTc-SPECT

Cited by 5 publications

References 12 publications

Optimization of ^99mTc whole‐body SPECT/CT image quality: A phantom study

Optimization of ^99mTc whole‐body SPECT/CT image quality: A phantom study

Quantitative evaluation of anti-resorptive agent-related osteonecrosis of the jaw using bone single photon emission computed tomography in clinical settings: relationship between clinical stage and imaging

Does quantification have a role to play in the future of bone SPECT?

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Fluctuation of quantitative values on acquisition time and the reconstruction conditions in 99mTc-SPECT

Cited by 5 publications

References 12 publications

Optimization of 99mTc whole‐body SPECT/CT image quality: A phantom study

Optimization of 99mTc whole‐body SPECT/CT image quality: A phantom study

Quantitative evaluation of anti-resorptive agent-related osteonecrosis of the jaw using bone single photon emission computed tomography in clinical settings: relationship between clinical stage and imaging

Does quantification have a role to play in the future of bone SPECT?

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Optimization of ^99mTc whole‐body SPECT/CT image quality: A phantom study

Optimization of ^99mTc whole‐body SPECT/CT image quality: A phantom study