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Energy Window and Contrast Optimization for Single-photon Emission Computed Tomography Bremsstrahlung Imaging with Yttrium-90

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© 2019 Indian Journal of Nuclear Medicine | Published by Wolters Kluwer - Medknow 125 Address for correspondence:

Dr. Youssef Bouzekraoui, Laboratory of High Energy Physics and Monte Carlo Simulation, Faculty of Sciences, University

Mohammed V, Rabat, Morocco.

E‑mail: [email protected]

Access this article online Website: www.ijnm.in

DOI: 10.4103/ijnm.IJNM_150_18 Quick Response Code:

Abstract

Purpose: In yttrium‑90 (Y‑90) single‑photon emission computed tomography (SPECT) imaging, the choice of the acquisition energy window is not trivial, due to the continuous and broad energy distribution of the bremsstrahlung photons. In this work, we investigate the effects of the energy windows on the image contrast to noise ratio (CNR), in order to select the optimal energy window for Y‑90 imaging. Materials and Methods: We used the Monte Carlo SIMIND code to simulate the Jaszczak phantom which consists of the six hot spheres filled with Y‑90 and ranging from 9.5 to 31.8 mm in diameter. Siemens Symbia gamma camera fitted with a high‑energy collimator was simulated. To evaluate the effect of the energy windows on the image contrast, five narrow and large energy windows were assessed. Results: The optimal energy window obtained for Y‑90 bremsstrahlung SPECT imaging was 120–150 keV. Furthermore, the results obtained for CNR indicate that the high detection is only for the three large spheres. Conclusion: The optimization of energy window in Y‑90 bremsstrahlung has the potential to improve the image quality.

Keywords: Bremsstrahlung, CNR, Jaszczak phantom, SIMIND, yttrium‑90 single‑photon emission computed tomography imaging

Energy Window and Contrast Optimization for Single‑photon Emission Computed Tomography Bremsstrahlung Imaging with Yttrium‑90

Original Article

Youssef Bouzekraoui, Farida Bentayeb, Hicham Asmi, Faustino Bonutti 1

Department of Physics, LPHE, Modeling and Simulations, Faculty of Science, Mohammed V University, Rabat, Morocco,

1

Department of Medical Physics, Academic Hospital of Udine, Udine, Italy

How to cite this article: Bouzekraoui Y, Bentayeb F, Asmi H, Bonutti F. Energy window and contrast optimization for single-photon emission computed tomography bremsstrahlung imaging with yttrium-90.

Indian J Nucl Med 2019;34:125-8.

Introduction

In gamma camera imaging, the acquisition energy window is centered around photopeak to detect majority of primary photons. However, for yttrium‑90 (Y‑90) bremsstrahlung, as the acquired spectrum is complex and continuous, the choice of acquisition energy windows is one of the most challenging topics in nuclear medicine.

[1]

Several works have been performed in the objective to optimize bremsstrahlung imaging.

[2‑6]

However, no study has evaluated the image quality and accurate activity quantification for Y‑90 bremsstrahlung in terms of contrast and contrast to noise ratio and also geometric, penetration, and scatter components. In this study, a Monte Carlo simulation SIMIND code

[7]

was used to investigate the effects of the energy windows, using a high‑energy (HE) collimator on the image contrast and signal to noise ratio (CNR), in order to optimize the Y‑90 bremsstrahlung single‑photon emission computed tomography (SPECT) imaging.

The simulations were set up in such a way that it provides geometric, penetration, and

scatter components to a separate file. At the end of simulations, binary images were imported in ImageJ software (Version 1.51) National Institutes of Health and the Laboratory for Optical and Computational Instrumentation (LOCI, University of Wisconsin).

[8]

Materials and Methods

We simulated the Siemens Medical System Symbia equipped with a HE collimator and with detector having the following characteristics: 0.95 cm NaI (Tl) crystal thickness, 50 cm × 50 cm of area, intrinsic spatial resolution of 0.360 cm, and energy resolution of 10% at 140 keV. The collimator data used during the simulation are given in Table 1.

Bremsstrahlung energy spectra were generated with SIMIND Monte Carlo code (version 6.1) by simulating six spheres of different sizes filled with Y‑90 and located inside water cylindrical phantom (L: 10 cm, rayon 1: 11 cm, and rayon 2: 12 cm). The inner diameters of the six spheres used are: 3.7, 2.8, 2.2, 1.7, 1.3, and 1 mm. The activity concentration for the six spheres was 3.374 MBq/mL. The

This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution‑NonCommercial‑ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non‑commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

For reprints contact: [email protected]

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Bouzekraoui, et al.: Contrast optimization for Y-90 SPECT imaging

126 Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019

phantom was positioned at 15 cm from the detector surface.

The projections were generated in matrices of 256 × 256 pixels, 0.24 cm pixel size, 128 views, and 360° clockwise gantry rotation. The simulation is done, starting with large acquisition windows [Table 2]. In order to refine the results, narrower acquisition windows were considered [Table 3].

Contrast and CNR were calculated by the following formulas:

Contrast =

s

− 1

b

C C

2 2

CNR ( )

σ σ

= − ×

s b

+

s b

Voxel C C

C

S

= S

C

/V

S

: Number of counts in the spheres per voxel SC: Total counts in the spheres

VS: Sphere volume in number of voxels

C

b

= N

C

/V

B

: Number of counts in the background compartment per voxel

N

C

: Total counts in the background compartment V

B

: Background volume in number of voxels σ

s

:The variance in sphere

σ

b

: The variance in background.

Results

Figure 1 shows the energy spectrum as a function of energy for Y‑90.

As shown in Figure 2, the geometric component rehearses a high value in 135 keV for 1

st

acquisition and 130 keV in the second. Whereas, the scatter and penetration components are small at this energy in both cases.

Figure 3 shows the effects of the energy window on the image contrast of the hot spheres with HE collimator. In comparison, both energy windows centered at 135 keV for 1

st

and 2

nd

acquisition provide a higher contrast than the others.

Figures 4 and 5 show the effect of energy windows on the image quality of the simulated Jaszczak phantom with six hot spheres.

We notice, as shown in Figure 6, that when the energy increases, the CNR decreases, and therefore, the image quality decreases. We observed the best CNR values for the first two energy windows in both acquisitions. In these windows, we can distinguish the two large spheres very well, but it is hard to distinguish the three smallest spheres.

This seems to have been caused by increased background noise due to large penetration.

Discussion

In Y‑90 bremsstrahlung imaging, the image quality and quantification are limited due to the high levels of object scatter, collimator septal penetration, and collimator scatter. The parallel hole collimator and energy window optimization in Y‑90 have been studied.

[1‑6]

In this study, we used Monte Carlo simulation SIMIND code to demonstrate how the image quality degrades as function of imaging parameters. We have evaluated the image quality considering the contrast and contrast to noise ratio (CNR).

The simulation data indicates that the choice of the acquisition energy window for Y‑90 imaging has a great effect on the image contrast and contrast to noise ratio.

Figure 3 shows the high contrast values in 135 keV center for both acquisitions. We notice, as shown in Figure 6, that the best CNR values are obtained in the first three windows. The simulations also show that the penetration is a significant problem for HE collimator at HE. The HE collimator with an energy window between 120 and 150 keV was selected as optimal acquisition setting with consideration of the contrast and contrast to noise ratio (CNR) and also geometric, penetration, and scatter Table 2: Size and central position for the sub‑windows of

the large window‑set

1 2 3 4 5

Subwindow (keV) 30–100 100–170 170–240 240–310 210–380

Center (keV) 65 135 205 275 345

Table 3: Size and central position for the sub‑windows of the narrow window‑set

1 2 3 4 5

Subwindow (keV) 60–90 90–120 120–150 150–180 180–210

Center (keV) 75 105 135 165 195

Table 1: Collimator specifications

Collimator Diameter (cm) Septa (cm) Length (cm) Hole shape Col type

HE 0.400 0.200 5.970 Hexagonal Parallel hole

HE: High energy

Figure 1: Monte Carlo simulated spectrum for yttrium‑90

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Bouzekraoui, et al.: Contrast optimization for Y-90 SPECT imaging

Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019 127

0%

20%

40%

60%

80%

100%

65 95 135 155 185

Energy keV 2

nd

Acquisition

Geometric (%) Penetration(%) Scatter(%) X Ray (%)

0%

20%

40%

60%

80%

100%

65 135 205 275 345

Energy keV 1

st

Acquisition

Geometric (%) Penetration(%) Scatter(%) X Ray (%)

Figure 2: Contributions of geometric, penetration, scatter, and X‑rays components with energy windows

Figure 4: Images of simulated Jaszczak phantom with a high‑energy collimator using large energy windows (above) and narrow energy windows (below) 0

5 10 15 20 25

65 135 205 275 345

Contrast

Energy keV 1

st

Acquisition

S1 S2 S3 S4 S5 S6

0 5 10 15 20 25 30

65 95 135 155 185

Contrast

Energy keV 2

nd

Acquisition

S1 S2 S3 S4 S5 S6

Figure 3: Contrast of the six spheres with energy window

0 200 400 600 800 1000 1200 1400

65 95 135 155 185

CNR

Energy (keV) 2

nd

Acquisition

S1 S2 S3

S4 S5 S6

0 200 400 600 800 1000 1200

65 135 205 275 345

CNR

Energy (keV) 1

st

Acquisition

S1 S2 S3

S4 S5 S6

Figure 5: CNR of the six spheres

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Bouzekraoui, et al.: Contrast optimization for Y-90 SPECT imaging

128 Indian Journal of Nuclear Medicine | Volume 34 | Issue 2 | April-June 2019

photons. The optimization of collimator and acquisition energy window leads to improve the quantitative accuracy and Y‑90 bremsstrahlung SPECT image quality.

Conclusion

In this study, the obtained results showed that the HE parallel‑hole collimator with energy window 120–150 keV conditions provides the best imaging performance based on contrast and CNR values. The optimization of these parameters leads to improved treatment efficacy and Y‑90 bremsstrahlung SPECT imaging.

Financial support and sponsorship Nil.

Conflicts of interest

There are no conflicts of interest.

References

1. Rong X, Du Y, Ljungberg M, Rault E, Vandenberghe S, Frey EC, et al. Development and evaluation of an improved quantitative (90) Y bremsstrahlung SPECT method. Med Phys 2012;39:2346‑58.

2. Heard S, Flux GD, Guy MJ, Ott RJ. Monte Carlo simulation of 90Y bremsstrahlung imaging. IEEE Nucl Sci Symp 2004;7:3579‑83.

3. Roshan HR, Mahmoudian B, Gharepapagh E, Azarm A, Pirayesh Islamian J. Collimator and energy window optimization for 90Y bremsstrahlung SPECT imaging: A SIMIND Monte Carlo study.

Appl Radiat Isot 2016;108:124‑8.

4. Rong X, Frey EC. A collimator optimization method for quantitative imaging: Application to Y‑90 bremsstrahlung SPECT. Med Phys 2013;40:082504.

5. Rong X, Ghaly M, Frey EC. Optimization of energy window for 90Y bremsstrahlung SPECT imaging for detection tasks using the ideal observer with model‑mismatch. Med Phys 2013;40:062502.

6. Rong X, Du Y, Frey EC. A method for energy window optimization for quantitative tasks that includes the effects of model‑mismatch on bias: Application to Y‑90 bremsstrahlung SPECT imaging. Phys Med Biol 2012;57:3711‑25.

7. Ljungberg M. The SIMIND Monte Carlo Program Home Page. Available from: https://www.msf.lu.se/forskning/

the‑simind‑monte‑carlo‑program. [Last accessed on 2018 Oct].

8. Ferreira T, Rasband W. Image J Program. Available from: https://

www.imagej.nih.gov/ij/download.html. [Last accessed on 2018 Oct].

0 200 400 600 800 1000 1200 1400

65 95 135 155 185

CN R

Energy (keV) 2

nd

Acquisition

S1 S2 S3

S4 S5 S6

0 200 400 600 800 1000 1200

65 135 205 275 345

CN R

Energy (keV) 1

st

Acquisition

S1 S2 S3

S4 S5 S6

Figurer 6: CNR of the six spheres with energy windows

[Downloaded free from http://www.ijnm.in on Thursday, July 11, 2019, IP: 105.66.5.104]

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