Use of a Monte Carlo-based probability matrix for 3-D iterative reconstruction of MADPET-II data

Rafecas, M.; Mosler, B.; Dietz, Melanie; Pögl, Markus; Stamatakis, Alexandros; McElroy, D.P.; Ziegler, Sibylle

doi:10.1109/tns.2004.834827

Cited by 113 publications

(85 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…80,81 In addition, time-of-flight (TOF) techniques need to be used in clinical applications, especially for whole body, for instance, by including the TOF information in the image reconstruction. Because TOF PET technique should be also implemented, fast scintillators and very fast photodetectors must be used.…”

Section: Design Considerations Of Pet/mri Systemsmentioning

confidence: 99%

An outlook on future design of hybrid PET/MRI systems

2011

View full text Add to dashboard Cite

Early diagnosis and therapy increasingly operate at the cellular, molecular, or even at the genetic level. As diagnostic techniques transition from the systems to the molecular level, the role of multimodality molecular imaging becomes increasingly important. Positron emission tomography (PET) and magnetic resonance imaging (MRI) are powerful techniques for in vivo molecular imaging. The inability of PET to provide anatomical information is a major limitation of standalone PET systems. Combining PET and CT proved to be clinically relevant and successfully reduced this limitation by providing the anatomical information required for localization of metabolic abnormalities. However, this technology still lacks the excellent soft-tissue contrast provided by MRI. Standalone MRI systems reveal structure and function but cannot provide insight into the physiology and/or the pathology at the molecular level. The combination of PET and MRI, enabling truly simultaneous acquisition, bridges the gap between molecular and systems diagnosis. MRI and PET offer richly complementary functionality and sensitivity; fusion into a combined system offering simultaneous acquisition will capitalize the strengths of each, providing a hybrid technology that is greatly superior to the sum of its parts. A combined PET/MRI system provides both the anatomical and structural description of MRI simultaneously with the quantitative capabilities of PET. In addition, such a system would allow exploiting the power of MR spectroscopy (MRS) to measure the regional biochemical content and to assess the metabolic status or the presence of neoplasia and other diseases in specific tissue areas. This paper briefly summarizes state-of-the-art developments and latest advances in dedicated hybrid PET/MRI instrumentation. Future prospects and potential clinical applications of this technology will also be discussed.

show abstract

Section: Design Considerations Of Pet/mri Systemsmentioning

confidence: 99%

An outlook on future design of hybrid PET/MRI systems

2011

View full text Add to dashboard Cite

show abstract

“…Likewise, it is also a valuable tool in the design and assessment of correction and reconstruction methods (Zaidi & Koral (2004), Holdsworth et al (2002)) and in the study of an imaging system response (Alessio et al (2006)). System modeling, may also be used in the generation of the system matrix either by means of analytical calculations (see previous section) or by Monte Carlo computations (Rafecas, Mosler, Dietz, Pogl, Stamatakis, McElroy & Ziegler (2004), Alessio et al (2006), Vandenberghe et al (2006), Rahmim et al (2008)). Finally, system modeling helps data production for evaluation purposes, for instance by using a digital phantom (see section 5.1) and in the description and validation of recently issued code.…”

Section: System Modeling and Simulationmentioning

confidence: 99%

Free Software for PET Imaging

Prieta¹

2012

Positron Emission Tomography - Current Clinical and Research Aspects

View full text Add to dashboard Cite

“…It is thus desirable to simulate as many coincidences as possible, but it is difficult to know a priori if the simulated data will produce an accurate enough description of the system response. The accuracy of the SM can be estimated with the 'mean relative error' (Rafecas et al 2004) denoted asσ rel , which is calculated according to (5):…”

Section: D System Matrix Modellingmentioning

confidence: 99%

Efficient methodologies for system matrix modelling in iterative image reconstruction for rotating high-resolution PET

Ortuño¹,

Kontaxakis²,

Rubio³

et al. 2010

Phys. Med. Biol.

View full text Add to dashboard Cite

A fully 3D iterative image reconstruction algorithm has been developed for high-resolution PET cameras composed of pixelated scintillator crystal arrays and rotating planar detectors, based on the ordered subsets approach. The associated system matrix is precalculated with Monte Carlo methods that incorporate physical effects not included in analytical models, such as positron range effects and interaction of the incident gammas with the scintillator material. Custom Monte Carlo methodologies have been developed and optimized for modelling of system matrices for fast iterative image reconstruction adapted to specific scanner geometries, without redundant calculations. According to the methodology proposed here, only one-eighth of the voxels within two central transaxial slices need to be modelled in detail. The rest of the system matrix elements can be obtained with the aid of axial symmetries and redundancies, as well as in-plane symmetries within transaxial slices. Sparse matrix techniques for the non-zero system matrix elements are employed, allowing for fast execution of the image reconstruction process. This 3D image reconstruction scheme has been compared in terms of image quality to a 2D fast implementation of the OSEM algorithm combined with Fourier rebinning approaches. This work confirms the superiority of fully 3D OSEM in terms of spatial resolution, contrast recovery and noise reduction as compared to conventional 2D approaches based on rebinning schemes. At the same time it demonstrates that fully 3D methodologies can be efficiently applied to the image reconstruction problem for high-resolution rotational PET cameras by applying accurate pre-calculated system models and taking advantage of the system's symmetries.

show abstract

Use of a Monte Carlo-based probability matrix for 3-D iterative reconstruction of MADPET-II data

Cited by 113 publications

References 17 publications

An outlook on future design of hybrid PET/MRI systems

An outlook on future design of hybrid PET/MRI systems

Free Software for PET Imaging

Efficient methodologies for system matrix modelling in iterative image reconstruction for rotating high-resolution PET

Contact Info

Product

Resources

About