Fast 3D-EM reconstruction using Planograms for stationary planar positron emission mammography camera

Motta, A.; Guerra, A. Del; Belcari, Nicola; Moehrs, Sascha; Panetta, Daniele; Righi, Sergio; Valentini, Daria

doi:10.1016/j.compmedimag.2005.07.002

Cited by 8 publications

(11 citation statements)

References 40 publications

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“…185 Development of PEM systems using gadolinium orthosilicate ͑GSO͒ and yttrium-aluminium perovskite ͑YAP͒ scintillators have been reported. 186,187 A collaborative effort to develop a dedicated PEM system using cerium-and yttrium-doped lutetium orthosilicate ͑LYSO͒ scintillator elements coupled to avalanche photodiodes is also underway. 188 These systems offer the potential of improved resolution and sensitivity.…”

Section: Radionuclide Imagingmentioning

confidence: 99%

Breast cancer imaging: A perspective for the next decade

Karellas¹,

Vedantham²

2008

Medical Physics

125

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Breast imaging is largely indicated for detection, diagnosis, and clinical management of breast cancer and for evaluation of the integrity of breast implants. In this work, a prospective view of techniques for breast cancer detection and diagnosis is provided based on an assessment of current trends. The potential role of emerging techniques that are under various stages of research and development is also addressed. It appears that the primary imaging tool for breast cancer screening in the next decade will be high-resolution, high-contrast, anatomical x-ray imaging with or without depth information. MRI and ultrasonography will have an increasingly important adjunctive role for imaging high-risk patients and women with dense breasts. Pilot studies with dedicated breast CT have demonstrated high-resolution three-dimensional imaging capabilities, but several technological barriers must be overcome before clinical adoption. Radionuclide based imaging techniques and x-ray imaging with intravenously injected contrast offer substantial potential as a diagnostic tools and for evaluation of suspicious lesions. Developing optical and electromagnetic imaging techniques hold significant potential for physiologic information and they are likely to be of most value when integrated with or adjunctively used with techniques that provide anatomic information. Experimental studies with breast specimens suggest that phase-sensitive x-ray imaging techniques can provide edge enhancement and contrast improvement but more research is needed to evaluate their potential role in clinical breast imaging. From the technological perspective, in addition to improvements within each modality, there is likely to be a trend towards multi-modality systems that combine anatomic with physiologic information. We are also likely to transition from a standardized screening, where all women undergo the same imaging exam (mammography), to selection of a screening modality or modalities based an individual-risk or other classification.

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Section: Radionuclide Imagingmentioning

confidence: 99%

Breast cancer imaging: A perspective for the next decade

Karellas¹,

Vedantham²

2008

Medical Physics

125

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“…In order to reduce system cost and complexity, partial ring and dual‐head configurations have been proposed (Motta et al, ; Surti et al, ; Zhang et al, ; Kao et al, ; MacDonald et al, ; Peng et al, ; Zhang et al, ) and it has been shown that for dedicated applications, such geometries can provide better spatial resolution and higher sensitivity at relatively lower cost (Moses et al, ; Motta et al, ). A representative example is positron emission mammography (PEM) which uses two detector heads and limited angle tomographic reconstruction to image radiotracer distribution within the breast (Motta et al, ; Zhang et al, ; MacDonald et al, ). For preclinical research, there are also some dedicated systems using similar dual‐head geometry that have been developed and have shown equal effectiveness for small animal imaging (Kao et al, ; Zhang et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…SRM is a mathematical formulation of the data formation process in an imaging system. SRM can be derived using analytical calculation (Qi et al, ; Motta et al, ), Monte Carlo (MC) simulation (Rafecas et al, ; Rannou et al, ; Alessio et al, ; Bao et al, ; Kao et al, ; Sarrhini et al, ), experimental measurement (Panin et al, ; Tohme et al, ), or a combination of them (Moehrs et al, ). In this paper, we focused on the calculation of SRM for PET systems with the dual‐head geometry.…”

Section: Introductionmentioning

confidence: 99%

System response matrix calculation using symmetries for dual‐head PET scanners

Liu

Wang

Bai

et al. 2013

Int J Imaging Syst Tech

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Positron emission tomography (PET) scanner with dual‐head geometry offers better spatial resolution and higher sensitivity for dedicated application when compared with conventional full‐ring PET scanners. However, this configuration suffers from limited‐angle projection and depth‐of‐interaction (DOI) effects. Accurate modeling of the system response matrix (SRM) and its incorporation into iterative methods can help to obtain images with better quality. In this paper, we proposed a line‐of‐response (LOR) based symmetry approach to calculate the SRM of PET scanners with dual‐head geometry. Both Monte Carlo (MC) and analytically computed SRMs were obtained and named MC SRM and geometrical SRM respectively, with their performances been compared using simulated phantom studies. The point source study shows that the resolution in directions parallel to the detector is rather uniform, with a full width at half maximum (FWHM) of 0.6∼0.7 mm and 0.6∼0.8 mm using MC and geometrical SRMs respectively. While the spatial resolution in the direction perpendicular to the detector is much worse, when moving towards the detector panel from the field‐of‐view (FOV) center, the FWHM changes from 1.5 mm to 1.8 mm and 2.4 mm to 3.1 mm using MC and geometrical SRMs, which is caused by the missing of projection views. Images generated using MC SRM also show better stochastic quality and quantitative performance. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 205–214, 2013

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“…The iterative reconstruction algorithm, is based on an expectation maximization algorithm, and produces a 3D image of the activity distribution [13]. However, such a detected activity is not directly proportional to the delivered dose, because of the different nature of the physical processes that determine the b + activation and the energy deposition within the medium.…”

Section: Methodsmentioning

confidence: 99%

“…The activity distributions were then calculated using the 3D iterative reconstruction algorithm [13]. Each image has a dimension of 42 Â 42 Â 130 voxels.…”

Section: Depth Activity Profilesmentioning

confidence: 99%