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Research ArticleImaging

Impact of Time-of-Flight PET/CT with a Large Axial Field of View for Reducing Whole-Body Acquisition Time

Go Akamatsu, Koji Uba, Takafumi Taniguchi, Katsuhiko Mitsumoto, Akihiro Narisue, Yuji Tsutsui and Masayuki Sasaki
Journal of Nuclear Medicine Technology June 2014, 42 (2) 101-104; DOI: https://doi.org/10.2967/jnmt.114.140665
Go Akamatsu
1Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
2Division of Molecular Imaging, Institute of Biomedical Research and Innovation, Kobe Japan
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Koji Uba
3Department of Radiological Technology, Saga University Hospital, Saga, Japan
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Takafumi Taniguchi
1Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Katsuhiko Mitsumoto
1Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Akihiro Narisue
3Department of Radiological Technology, Saga University Hospital, Saga, Japan
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Yuji Tsutsui
4Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan
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Masayuki Sasaki
1Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Abstract

The aim of this study was to evaluate the imaging performance of 39- and 52-ring time-of-flight (TOF) PET/CT scanners. We also assessed the potential of reducing the scanning time using a 52-ring TOF PET/CT scanner. Methods: PET/CT scanners with 39- and 52-ring lutetium oxyorthosilicate detectors were evaluated. The axial fields of view were 16.2 and 21.6 cm, respectively. We used a National Electrical Manufacturers Association International Electrotechnical Commission body phantom filled with an 18F solution containing background activity of 5.31 and 2.65 kBq/mL for the studies. The sphere-to-background ratio was 4:1. The PET data were acquired for 10 min in 3-dimensional list mode and then reconstructed with both ordered-subsets reconstruction maximization and ordered-subsets reconstruction maximization plus point-spread function plus time-of-flight algorithms. PET images with different acquisition times were reconstructed (from 1 to 10 min). The image quality was physically assessed using the sensitivity, noise-equivalent counting rate, coefficient of variation of background activity, and relative recovery coefficient. Results: The total system sensitivities of the 39- and 52-ring scanners were 5.6 and 9.3 kcps/MBq, respectively. Compared with the 39-ring scanner, the noise-equivalent counting rate of the 52-ring scanner was 60% higher for both the high-activity and the low-activity models. The recovery coefficient was consistent, irrespective of the number of detector rings. The coefficient of variation of the 52-ring scanner using a 3-min acquisition time was equivalent to that of the 39-ring scanner using a 4-min acquisition time. Conclusion: The image quality of the 52-ring scanner is superior to that of the 39-ring scanner. The acquisition time per bed position of the 52-ring system can be reduced by about 25% without compromising image quality. In addition, the number of bed positions required is 25% lower for the 52-ring system. Finally, the examination time required for a whole-body PET scan is considered to be reduced by about 40% if the 52-ring scanner is used.

  • axial field of view
  • time-of-flight
  • PET/CT
  • image quality
  • sensitivity

PET is a molecular imaging technique that provides metabolic information useful for patient care and for monitoring the pharmacokinetics of drugs (1,2). High image quality is required for an accurate diagnosis (3). PET image quality is strongly dependent on scanner sensitivity (4), which in turn is associated with the length of the axial field of view (FOV) (4–6). A PET system with a longer axial FOV has a higher sensitivity because there are a large number of detectors (Fig. 1). In addition, the number of bed positions can be reduced because of the large axial range for whole-body PET. PET scanners with a longer axial range can be used to reduce the patient dose, decrease the scanning time, or reduce the image noise while maintaining other constant image characteristics. To date, however, there has been no comparison of actual PET images acquired on systems having different axial FOVs.

FIGURE 1.
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FIGURE 1.

A 3D emission acquisition of 39- (upper) and 52-ring (lower) scanners. The 52-ring scanner has large acceptance angle. Thus, system sensitivity of 52-ring scanner is higher than that of 39-ring scanner.

In this study, we evaluated the PET image quality of 39- and 52-ring time-of-flight (TOF) PET/CT scanners and assessed the possibility of reducing the whole-body scanning time using a 52-ring TOF PET/CT scanner.

MATERIALS AND METHODS

PET/CT Scanners with 39- and 52-Ring Detector System

Two types of Biograph mCT scanner (Siemens Healthcare), one with a 39-ring detector system and the other with a 52-ring detector system, were used in this study (7). The specifications of the 2 PET scanners are shown in Table 1. The PET components of both the 39-ring and the 52-ring scanners are lutetium oxyorthosilicate scintillators 4 × 4 × 20 mm in size. The 39-ring scanner comprises a total of 24,336 lutetium oxyorthosilicate detector elements, covering an axial FOV of 16.2 cm. The 52-ring scanner comprises a total of 32,448 detector elements, covering an axial FOV of 21.6 cm. Both PET scanners operate with a 4.1-ns coincidence time window and a 435- to 650-keV energy window.

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TABLE 1

Sensitivities of 39- and 52-Ring PET/CT Scanners

The CT component of the 39-ring scanner consists of a 128-slice multidetector helical CT scanner, whereas that of the 52-ring scanner consists of a 40-slice multidetector helical CT scanner. The CT scan parameters were 120 kV, automatic exposure control depending on body habitus, and 0.5-s rotation of the gantry in both PET/CT scanners. CT was performed to obtain a map for attenuation correction.

Evaluation of System Sensitivity

Following the National Electrical Manufacturers Association (NEMA) NU-2 2007 protocol, a phantom with 5 concentric aluminum sleeves 70 cm in length was used to evaluate the system sensitivity (NEMA PET Sensitivity Phantom; Data Spectrum Corp.) (8). The innermost tube was of fillable polyethylene with an inside diameter of 1 mm and outside diameter of 3 mm. The polyethylene tube was filled with an 18F solution having a specific activity of approximately 2–4 MBq at the start of the PET acquisition and was inserted in all 5 sleeves, which were the same length as each other and had a known amount of attenuation. The tube was positioned in the center of the transaxial FOV, parallel to the axis of the scanner. Five emission scans, each with different attenuation (created by successively removing the outermost sleeves), were performed for 600 s each. The acquired data were analyzed using the PET Quality Control Tool (PETquact) software (Nihon Medi-Physics Co., Ltd.) (9). The acquired true coincidence counting rate was recorded as a function of sleeve thickness and then fitted by linear regression to obtain the extrapolated true counting rate. The system sensitivity was then computed as the ratio between the true counting rate with no attenuation and the activity at the time the scan began. The same measurement was repeated at a 10-cm radial offset from the center of the transaxial FOV.

Evaluation of Image Quality

A NEMA International Electrotechnical Commission body phantom with 6 spheres of 37-, 28-, 22-, 17-, 13-, and 10-mm inner diameter (Data Spectrum Corp.) was used for this study. The spheres and background can be filled with 18F-FDG solution having a 4:1 activity ratio. The background activity was 5.31 and 2.65 kBq/mL. The background activity levels of 5.31 and 2.65 kBq/mL simulated the normal soft-tissue uptake of patients who received high (7.4 MBq/kg) and low (3.7 MBq/kg) injected doses, respectively (10). PET data were acquired for 10 min in 3-dimensional list-mode and then were reconstructed using ordered-subsets expectation maximization (OSEM) and OSEM plus point-spread function (PSF) plus TOF algorithms. PET images with acquisition times ranging from 1 to 10 min were then reconstructed. The reconstruction parameters were as follows: 2 iterations, 21 subsets (OSEM + PSF + TOF) or 24 subsets (OSEM), a gaussian filter of 4 mm in full width at half maximum, and a matrix size of 256.

To evaluate the PET raw-data quality metric, the noise-equivalent counting rate (NECR) was calculated as follows:Embedded Imagewhere T is the true coincidence counting rate, S is the scatter coincidence counting rate, R is the random coincidence counting rate, SF is the scatter fraction, and k = 1 (noise random correction factor). The true, scatter, and random coincidence counts were obtained from the full sinogram dataset of the PET data acquired over 10 min.

The PET image quality was physically assessed using the coefficient of variance on the background (CVBG). We placed 12 circular regions of interest (ROIs), each 30 mm in diameter, on the axial slice of the sphere center and on slices ± 1 cm and ± 2 cm away for the background (total, 60 ROIs). The CVBG was calculated as follows:Embedded Imagewhere CBG is the mean activity of the 60 background ROIs and SDBG is the mean of the SD of the 60 background ROI counts.

Additionally, the relative recovery coefficients (RC) were evaluated to estimate the image resolution for the 10-min acquisition data (10). All 6 spheres were encompassed by large, circular ROIs on the axial PET images. The relative RC for a j-mm hot sphere (RCj) was calculated as follows:Embedded Imagewhere Cj and C37 were the maximum values for a j-mm- and 37-mm-diameter sphere.

Statistical Analysis

The CVBG values were compared by the t test. In all analyses, a P value of less than 0.05 was considered to be statistically significant.

RESULTS

The system sensitivities of both the 39- and the 52-ring scanners are reported in Table 1. The system sensitivity of the 52-ring scanner was 66% higher than that of the 39-ring scanner.

The NECR values are shown in Table 2. The 52-ring scanner increased the NECR by approximately 60%, compared with that observed with the 39-ring scanner. The NECR increased in proportion to the radioactivity levels.

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TABLE 2

NECR in Relation to Activity Level and Number of Detectors

The PET images on both systems at various acquisition times are shown in Figure 2. In terms of background uniformity, the images acquired by the 52-ring scanner were superior to those acquired by the 39-ring scanner. The CVBG in relation to acquisition times is shown in Figure 3. The CVBG of the 52-ring scanner was superior to that of the 39-ring scanner by approximately 10% on both activity levels. The CV of the 52-ring scanner with 3-min acquisition was equivalent to that of the 39-ring scanner with 4-min acquisition (P = 0.08).

FIGURE 2.
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FIGURE 2.

PET images reconstructed using OSEM + PSF + TOF with various acquisition times, different activity levels, and 2 types of detector ring. In terms of background uniformity, images acquired using 52-ring scanner were superior to those acquired using 39-ring scanner.

FIGURE 3.
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FIGURE 3.

CV for OSEM + PSF + TOF images in relation to acquisition times. CV of 52-ring scanner was superior to that of 39-ring scanner by approximately 10%. CV of 52-ring scanner using 3-min acquisition was equivalent to that of 39-ring scanner using 4-min acquisition.

The relative RC curves for PET images taken using a 10-min acquisition are shown in Figure 4. The RC curves for both systems were nearly identical. The effects of the PSF and TOF for image resolution were also identical, irrespective of the number of detector rings.

FIGURE 4.
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FIGURE 4.

Relative RC curves at 10-min acquisition in relation to reconstruction methods and number of detector rings. Although PSF and TOF also increased RC, RC curves were nearly identical independent of number of detector rings.

DISCUSSION

The system sensitivity of the 52-ring scanner was 66% higher than that of the 39-ring scanner. As a result, a higher NECR and better image quality were obtained by the 52-ring scanner. In a previous study by Jakoby et al. (5), the NECR of the 52-ring scanner was increased by approximately 50%–70% compared with that of the 39-ring scanner. Our results correspond to those of previous studies. The CVBG value of the 52-ring scanner was approximately 10% lower than that of the 39-ring scanner at both activity levels. The CV of the 52-ring system with a 3-min acquisition time was equivalent to that of the 39-ring system with a 4-min acquisition time. On the basis of these results, the acquisition time per bed position can be reduced by approximately 25% to obtain the same image quality as the 39-ring scanner. Furthermore, the injected dose can be reduced without compromising image quality.

The RC curves obtained by the 2 scanners were almost identical. Jakoby et al. also reported that the spatial resolution was the same for both 39- and 52-ring scanners without TOF information (5,7). The correspondence of the RC was expected to be attributable to the use of identical geometry detectors. Thus, in clinical practice, the standardized uptake value is considered to be independent of the number of detector rings. For both the 39- and the 52-ring scanners, the PSF and TOF improved the RC of the PET images as well. Our results indicated that the effects of PSF and TOF information on the standardized uptake value were independent of the number of detector rings (11).

The axial FOV of the 52-ring scanner was 5.4 cm (33%), longer than that of the 39-ring scanner. A large axial FOV can scan over a wide range at one time. Therefore, the number of bed positions required to scan from the mid thigh to the top of a patient using the 52-ring scanner was approximately 70% of that using the 39-ring scanner. Furthermore, the increase in sensitivity allowed for a 25% decrease in the acquisition time without compromising image quality. Thus, the total acquisition time for a multibed acquisition can be shortened to 53% (0.7 × 0.75 = 0.53) for the 52-ring scanner.

In this study, we evaluated the sensitivity, NECR, and CV of the phantom uniform area. The sensitivity evaluation was performed only among the NEMA NU-2 standard because we expect that the sensitivity was dependent on the number of detector rings. Further examinations to evaluate all units of the NEMA NU-2 standard are recommended.

CONCLUSION

The image quality of the 52-ring scanner is superior to that of the 39-ring scanner. Furthermore, the whole-body scanning time can be reduced by approximately 40% without compromising image quality. The spatial resolution was the same for both scanners. Thus, the obtained standardized uptake value is constant irrespective of the number of detector rings.

DISCLOSURE

No potential conflict of interest relevant to this article was reported.

Acknowledgments

We thank the staff of the Department of Clinical Radiology and Medical Technology at Kyushu University Hospital and Saga University Hospital for their valuable clinical support.

Footnotes

  • Published online May 5, 2014.

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  • Received for publication March 23, 2014.
  • Accepted for publication April 17, 2014.
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Impact of Time-of-Flight PET/CT with a Large Axial Field of View for Reducing Whole-Body Acquisition Time
Go Akamatsu, Koji Uba, Takafumi Taniguchi, Katsuhiko Mitsumoto, Akihiro Narisue, Yuji Tsutsui, Masayuki Sasaki
Journal of Nuclear Medicine Technology Jun 2014, 42 (2) 101-104; DOI: 10.2967/jnmt.114.140665

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Impact of Time-of-Flight PET/CT with a Large Axial Field of View for Reducing Whole-Body Acquisition Time
Go Akamatsu, Koji Uba, Takafumi Taniguchi, Katsuhiko Mitsumoto, Akihiro Narisue, Yuji Tsutsui, Masayuki Sasaki
Journal of Nuclear Medicine Technology Jun 2014, 42 (2) 101-104; DOI: 10.2967/jnmt.114.140665
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Keywords

  • axial field of view
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