Influence of Doppler broadening model accuracy in Compton camera list-mode MLEM reconstruction

Feng, Yuemeng; Létang, Jean Michel; Sarrut, David; Maxim, Voichia

doi:10.1080/17415977.2021.2011863

Cited by 13 publications

(13 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The distribution of angular uncertainty fitted by Gaussian distribution and Gaussian mixture distribution are compared to verify the correctness of this conclusion in the low-energy field below 200 keV. The Gaussian mixture fit used by us is a mixture of two Gaussian distributions, as described in Feng et al (2021). Figures 3(c) and (d) present the fitting result of 70 keV and 141 keV, respectively.…”

Section: Quantitative Analysis By Simulationmentioning

confidence: 72%

“…Several works have proved that a Gaussian mixture fit is better than a Gaussian fit when estimating the angular uncertainty in the high-energy range (Wilderman et al 2001, Ida et al 2019, Feng et al 2021. The distribution of angular uncertainty fitted by Gaussian distribution and Gaussian mixture distribution are compared to verify the correctness of this conclusion in the low-energy field below 200 keV.…”

Section: Quantitative Analysis By Simulationmentioning

confidence: 93%

See 1 more Smart Citation

An accurate probabilistic model with detector resolution and Doppler broadening correction in list-mode MLEM reconstruction for Compton camera

Wu¹,

Zhang²,

Li³

2022

Phys. Med. Biol.

View full text Add to dashboard Cite

Objective. The Compton cameras have been researched for medical applications and radioactive material detection. It is challenging for the Compton camera to realize high-resolution reconstruction when the incident photon energy is below 200keV. However, multiple kinds of nuclear medical radionuclides are in this energy range, such as 201Tl, 67Ga, 99mTc, and 123I. In this work, we propose an improved probabilistic model with correction of detector energy resolution, detector spatial resolution, and Doppler broadening effect. The proposed model is used for numerical calculation of the system matrix in the list-mode maximum likelihood expectation maximization (LM-MLEM) algorithm. Approach. The model can improve the imaging resolution of LM-MLEM reconstruction by taking Doppler broadening effect into account. It performs well, especially in the following situations: low-energy photon incidence below 200keV or (and) small distance between scattering and absorbing positions. Main results. Firstly, three main factors that affect the angular resolution of the Compton camera are theoretically analyzed and quantitatively calculated. The results of the analysis indicate the necessity of including the Doppler broadening effect in the model. Secondly, the details and derivation of the proposed probabilistic model are described. Thirdly, both Monte Carlo (MC) simulations and experiments are carried out to verify the performance of the proposed algorithm. The simulations focus on the low-energy reconstruction in which 201Tl (70keV) and 99mTc (141keV) are simulated. And the experiments are based on a single-layer Compton camera composed of a Timepix3 detector. Significance. The results of the simulations and the Timepix3-based experiments are presented to verify the effectiveness of the proposed algorithm. The model improves the Compton imaging resolution when the photon energy is below 200keV.

show abstract

Section: Quantitative Analysis By Simulationmentioning

confidence: 72%

Section: Quantitative Analysis By Simulationmentioning

confidence: 93%

An accurate probabilistic model with detector resolution and Doppler broadening correction in list-mode MLEM reconstruction for Compton camera

Wu¹,

Zhang²,

Li³

2022

Phys. Med. Biol.

View full text Add to dashboard Cite

show abstract

“…However, the convergence speed of the adopted iterative reconstruction method was not sufficiently high because the imaging algorithms considered the high-energy γ-ray source located at a far distance, and the simulation programs developed at that time considered the simple detector system. Some studies have recently been conducted to improve the MLEM and compare it with other imaging models, with a focus on the application of Compton cameras in nuclear medicine and particle therapy [ 81 , 210 , 211 , 212 , 213 ]. Yabu et al [ 214 ] reported the superiority of the LM-MLEM method over SBP using a Si/CdTe Compton camera.…”

Section: Image Reconstruction Methods For Compton Imagingmentioning

confidence: 99%

Development and Applications of Compton Camera—A Review

Parajuli

Sakai

Parajuli³

et al. 2022

Sensors

View full text Add to dashboard Cite

The history of Compton cameras began with the detection of radiation sources originally for applications in astronomy. A Compton camera is a promising γ-ray detector that operates in the wide energy range of a few tens of keV to MeV. The γ-ray detection method of a Compton camera is based on Compton scattering kinematics, which is used to determine the direction and energy of the γ-rays without using a mechanical collimator. Although the Compton camera was originally designed for astrophysical applications, it was later applied in medical imaging as well. Moreover, its application in environmental radiation measurements is also under study. Although a few review papers regarding Compton cameras have been published, they either focus very specifically on the detectors used in such cameras or the particular applications of Compton cameras. Thus, the aim of this paper is to review the features and types of Compton cameras and introduce their applications, associated imaging algorithms, improvement scopes, and their future aspects.

show abstract

“…), the concept of COR can be generalized to a volume of response (VOR), which represents the region in a 3D space where the origin of the event originates. Several approaches have been introduced to model the VORs into the reconstruction, see, for example [83,[88][89][90][91][92]. Among them, including a model of the point-spread-function (PSF) in image space as a convolution kernel is an extended option, see Fig.…”

Section: Image Reconstructionmentioning

confidence: 99%

Hybrid PET/Compton-camera imaging: an imager for the next generation

Llosá

Rafecas

2023

Eur. Phys. J. Plus

View full text Add to dashboard Cite

Compton cameras can offer advantages over gamma cameras for some applications, since they are well suited for multitracer imaging and for imaging high-energy radiotracers, such as those employed in radionuclide therapy. While in conventional clinical settings state-of-the-art Compton cameras cannot compete with well-established methods such as PET and SPECT, there are specific scenarios in which they can constitute an advantageous alternative. The combination of PET and Compton imaging can benefit from the improved resolution and sensitivity of current PET technology and, at the same time, overcome PET limitations in the use of multiple radiotracers. Such a system can provide simultaneous assessment of different radiotracers under identical conditions and reduce errors associated with physical factors that can change between acquisitions. Advances are being made both in instrumentation developments combining PET and Compton cameras for multimodal or three-gamma imaging systems, and in image reconstruction, addressing the challenges imposed by the combination of the two modalities or the new techniques. This review article summarizes the advances made in Compton cameras for medical imaging and their combination with PET.

show abstract

Influence of Doppler broadening model accuracy in Compton camera list-mode MLEM reconstruction

Cited by 13 publications

References 42 publications

An accurate probabilistic model with detector resolution and Doppler broadening correction in list-mode MLEM reconstruction for Compton camera

An accurate probabilistic model with detector resolution and Doppler broadening correction in list-mode MLEM reconstruction for Compton camera

Development and Applications of Compton Camera—A Review

Hybrid PET/Compton-camera imaging: an imager for the next generation

Contact Info

Product

Resources

About