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Siemens AG 2d osem reconstruction
Main characteristics of the four SPECT-CT systems used in the study
2d Osem Reconstruction, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/2d+osem/osem/pmc03469367-180-2-2
Average 90 stars, based on 1 article reviews
2d osem reconstruction - by Bioz Stars, 2026-11
90/100 stars

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1) Product Images from "Quantitative capabilities of four state-of-the-art SPECT-CT cameras"

Article Title: Quantitative capabilities of four state-of-the-art SPECT-CT cameras

Journal: EJNMMI Research

doi: 10.1186/2191-219X-2-45

Main characteristics of the four SPECT-CT systems used in the study
Figure Legend Snippet: Main characteristics of the four SPECT-CT systems used in the study

Techniques Used: Single Photon Emission Computed Tomography

Quantification error obtained for the three calibration phantoms and the three test phantoms. The error is plotted as a function of the calibration phantom ROI diameter expressed as a percentage of the phantom physical diameter for the four SPECT-CT systems. The quantification was performed for the uniform part of the contrast (red) or NEMA NU 2–1994 attenuation and scatter correction accuracy (green) phantom and the S phantom (blue) using the conversion factor obtained with the M (triangle), L (square), or XL (diamond) phantom. All reconstructions with 24 iterations and eight subsets. ( A ) Philips Brightview XCT. ( B ) General Electric Discovery NM/CT 670. ( C ) General Electric Hawkeye 4. ( D ) Siemens Symbia T6.
Figure Legend Snippet: Quantification error obtained for the three calibration phantoms and the three test phantoms. The error is plotted as a function of the calibration phantom ROI diameter expressed as a percentage of the phantom physical diameter for the four SPECT-CT systems. The quantification was performed for the uniform part of the contrast (red) or NEMA NU 2–1994 attenuation and scatter correction accuracy (green) phantom and the S phantom (blue) using the conversion factor obtained with the M (triangle), L (square), or XL (diamond) phantom. All reconstructions with 24 iterations and eight subsets. ( A ) Philips Brightview XCT. ( B ) General Electric Discovery NM/CT 670. ( C ) General Electric Hawkeye 4. ( D ) Siemens Symbia T6.

Techniques Used: Single Photon Emission Computed Tomography

Mean quantification error for 60% to 90% ROI diameter of the calibration phantom physical diameter
Figure Legend Snippet: Mean quantification error for 60% to 90% ROI diameter of the calibration phantom physical diameter

Techniques Used:

Transverse and coronal slices of the M phantom obtained after 24 iterations. ( A , E ) Philips Brightview XCT and Astonish. ( B , F ) General Electric Discovery NM/CT 670 and Evolution for Bone. ( C , G ) General Electric Hawkeye 4 and Evolution for Bone. ( D , H ) Siemens Symbia T6 and Flash3D. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.
Figure Legend Snippet: Transverse and coronal slices of the M phantom obtained after 24 iterations. ( A , E ) Philips Brightview XCT and Astonish. ( B , F ) General Electric Discovery NM/CT 670 and Evolution for Bone. ( C , G ) General Electric Hawkeye 4 and Evolution for Bone. ( D , H ) Siemens Symbia T6 and Flash3D. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.

Techniques Used:

Transverse reconstructed slices of the M phantom imaged with the Symbia T6. ( A , B , C ) Circular orbit. ( D ) Non-circular orbit. ( A ) FBP. ( B ) Flash3D and six iterations. ( C , D ) Flash3D and 24 iterations. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.
Figure Legend Snippet: Transverse reconstructed slices of the M phantom imaged with the Symbia T6. ( A , B , C ) Circular orbit. ( D ) Non-circular orbit. ( A ) FBP. ( B ) Flash3D and six iterations. ( C , D ) Flash3D and 24 iterations. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.

Techniques Used:

Coronal reconstructed slices of the Picker’s thyroid phantom. ( A , B , C ) Six iterations. ( D , E , F ) 24 iterations. ( A , D ) Philips Brightview XCT and Astonish. ( B , E ) General Electric Infinia Hawkeye 4 and Evolution for Bone. ( C , F ) Siemens Symbia T6 and Flash3D. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.
Figure Legend Snippet: Coronal reconstructed slices of the Picker’s thyroid phantom. ( A , B , C ) Six iterations. ( D , E , F ) 24 iterations. ( A , D ) Philips Brightview XCT and Astonish. ( B , E ) General Electric Infinia Hawkeye 4 and Evolution for Bone. ( C , F ) Siemens Symbia T6 and Flash3D. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.

Techniques Used:

Coronal and transverse reconstructed slices of the M phantom imaged with Symbia T6. ( A , B ) Siemens Flash3D. ( C , D ) Siemens OSEM 2D with resolution recovery in the transverse plane. All are reconstructions with eight subsets and 24 iterations. Hot-iron color scale from 0% to 110% of slice maximum.
Figure Legend Snippet: Coronal and transverse reconstructed slices of the M phantom imaged with Symbia T6. ( A , B ) Siemens Flash3D. ( C , D ) Siemens OSEM 2D with resolution recovery in the transverse plane. All are reconstructions with eight subsets and 24 iterations. Hot-iron color scale from 0% to 110% of slice maximum.

Techniques Used:

Related Articles

other:

Article Title: ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages
Article Snippet: Images were reconstructed using the Siemens OSEM-PSF + TOF reconstruction algorithm with conventional correction strategies for attenuation, scatter, and random coincidences [ ].

Article Title: Reduction of SPECT acquisition time using deep learning: A phantom study.
Article Snippet: Single photon emission computed tomography (SPECT) procedures are characterized by long acquisition time to acquire diagnostically acceptable image data.. The goal of this investigation was to assess the feasibility of using a deep convolutional neural network (DCNN) to reduce the acquisition time.. The DCNN was implemented using the PyTorch and trained using image data from standard SPECT quality phantoms.

Article Title: Optimization of BMI-Based Images for Overweight and Obese Patients - Implications on Image Quality, Quantification, and Radiation Dose in Whole Body 18 F-FDG PET/CT Imaging.
Article Snippet: Purpose In PET/CT imaging, the activity of the 18F-FDG activity is injected either based on patient body weight (BW) or body mass index (BMI).. The purpose of this study was to optimise BMI-based whole body 18F-FDG PET images obtained from overweight and obese patients and assess their image quality, quantitative value and radiation dose in comparison to BW-based images.. Methods The NEMA-IEC-body phantom was scanned using the mCT 128-slice scanner.

Article Title: ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages.
Article Snippet: Images were reconstructed using the Siemens OSEM-PSF + TOF reconstruction algorithm with conventional correction strategies for attenuation, scatter, and random coincidences [25].

Positron Emission Tomography:

Article Title: Image reconstruction
Article Snippet: .. Specific implementations of these approaches, in use by industry for clinical PET imaging, include: OSEM and/or HD-PET from Siemens: which typically relies on either early termination (category 2) or post-processing (category 1) to compensate for noise; and QClear from GE which requires a user to decide upon a key regularisation parameter (category 3). ..

Article Title: Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction
Article Snippet: Medical image reconstruction with pretrained score-based generative models (SGMs) has advantages over other existing state-of-the-art deeplearned reconstruction methods, including improved resilience to different scanner setups and advanced image distribution modeling.. SGM-based reconstruction has recently been applied to simulated positron emission tomography (PET) datasets, showing improved contrast recovery for out-of-distribution lesions relative to the state-of-the-art.. However, existing methods for SGMbased reconstruction from PET data suffer from slow reconstruction, burdensome hyperparameter tuning and slice inconsistency effects (in 3D).

Imaging:

Article Title: Image reconstruction
Article Snippet: .. Specific implementations of these approaches, in use by industry for clinical PET imaging, include: OSEM and/or HD-PET from Siemens: which typically relies on either early termination (category 2) or post-processing (category 1) to compensate for noise; and QClear from GE which requires a user to decide upon a key regularisation parameter (category 3). ..



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Image Search Results


Main characteristics of the four SPECT-CT systems used in the study

Journal: EJNMMI Research

Article Title: Quantitative capabilities of four state-of-the-art SPECT-CT cameras

doi: 10.1186/2191-219X-2-45

Figure Lengend Snippet: Main characteristics of the four SPECT-CT systems used in the study

Article Snippet: For some Siemens Symbia T6 data, Siemens 2D OSEM reconstruction was also performed with eight subsets.

Techniques: Single Photon Emission Computed Tomography

Quantification error obtained for the three calibration phantoms and the three test phantoms. The error is plotted as a function of the calibration phantom ROI diameter expressed as a percentage of the phantom physical diameter for the four SPECT-CT systems. The quantification was performed for the uniform part of the contrast (red) or NEMA NU 2–1994 attenuation and scatter correction accuracy (green) phantom and the S phantom (blue) using the conversion factor obtained with the M (triangle), L (square), or XL (diamond) phantom. All reconstructions with 24 iterations and eight subsets. ( A ) Philips Brightview XCT. ( B ) General Electric Discovery NM/CT 670. ( C ) General Electric Hawkeye 4. ( D ) Siemens Symbia T6.

Journal: EJNMMI Research

Article Title: Quantitative capabilities of four state-of-the-art SPECT-CT cameras

doi: 10.1186/2191-219X-2-45

Figure Lengend Snippet: Quantification error obtained for the three calibration phantoms and the three test phantoms. The error is plotted as a function of the calibration phantom ROI diameter expressed as a percentage of the phantom physical diameter for the four SPECT-CT systems. The quantification was performed for the uniform part of the contrast (red) or NEMA NU 2–1994 attenuation and scatter correction accuracy (green) phantom and the S phantom (blue) using the conversion factor obtained with the M (triangle), L (square), or XL (diamond) phantom. All reconstructions with 24 iterations and eight subsets. ( A ) Philips Brightview XCT. ( B ) General Electric Discovery NM/CT 670. ( C ) General Electric Hawkeye 4. ( D ) Siemens Symbia T6.

Article Snippet: For some Siemens Symbia T6 data, Siemens 2D OSEM reconstruction was also performed with eight subsets.

Techniques: Single Photon Emission Computed Tomography

Mean quantification error for 60% to 90% ROI diameter of the calibration phantom physical diameter

Journal: EJNMMI Research

Article Title: Quantitative capabilities of four state-of-the-art SPECT-CT cameras

doi: 10.1186/2191-219X-2-45

Figure Lengend Snippet: Mean quantification error for 60% to 90% ROI diameter of the calibration phantom physical diameter

Article Snippet: For some Siemens Symbia T6 data, Siemens 2D OSEM reconstruction was also performed with eight subsets.

Techniques:

Transverse and coronal slices of the M phantom obtained after 24 iterations. ( A , E ) Philips Brightview XCT and Astonish. ( B , F ) General Electric Discovery NM/CT 670 and Evolution for Bone. ( C , G ) General Electric Hawkeye 4 and Evolution for Bone. ( D , H ) Siemens Symbia T6 and Flash3D. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.

Journal: EJNMMI Research

Article Title: Quantitative capabilities of four state-of-the-art SPECT-CT cameras

doi: 10.1186/2191-219X-2-45

Figure Lengend Snippet: Transverse and coronal slices of the M phantom obtained after 24 iterations. ( A , E ) Philips Brightview XCT and Astonish. ( B , F ) General Electric Discovery NM/CT 670 and Evolution for Bone. ( C , G ) General Electric Hawkeye 4 and Evolution for Bone. ( D , H ) Siemens Symbia T6 and Flash3D. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.

Article Snippet: For some Siemens Symbia T6 data, Siemens 2D OSEM reconstruction was also performed with eight subsets.

Techniques:

Transverse reconstructed slices of the M phantom imaged with the Symbia T6. ( A , B , C ) Circular orbit. ( D ) Non-circular orbit. ( A ) FBP. ( B ) Flash3D and six iterations. ( C , D ) Flash3D and 24 iterations. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.

Journal: EJNMMI Research

Article Title: Quantitative capabilities of four state-of-the-art SPECT-CT cameras

doi: 10.1186/2191-219X-2-45

Figure Lengend Snippet: Transverse reconstructed slices of the M phantom imaged with the Symbia T6. ( A , B , C ) Circular orbit. ( D ) Non-circular orbit. ( A ) FBP. ( B ) Flash3D and six iterations. ( C , D ) Flash3D and 24 iterations. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.

Article Snippet: For some Siemens Symbia T6 data, Siemens 2D OSEM reconstruction was also performed with eight subsets.

Techniques:

Coronal reconstructed slices of the Picker’s thyroid phantom. ( A , B , C ) Six iterations. ( D , E , F ) 24 iterations. ( A , D ) Philips Brightview XCT and Astonish. ( B , E ) General Electric Infinia Hawkeye 4 and Evolution for Bone. ( C , F ) Siemens Symbia T6 and Flash3D. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.

Journal: EJNMMI Research

Article Title: Quantitative capabilities of four state-of-the-art SPECT-CT cameras

doi: 10.1186/2191-219X-2-45

Figure Lengend Snippet: Coronal reconstructed slices of the Picker’s thyroid phantom. ( A , B , C ) Six iterations. ( D , E , F ) 24 iterations. ( A , D ) Philips Brightview XCT and Astonish. ( B , E ) General Electric Infinia Hawkeye 4 and Evolution for Bone. ( C , F ) Siemens Symbia T6 and Flash3D. All are reconstructions with eight subsets. Hot-iron color scale from 0% to 110% of slice maximum.

Article Snippet: For some Siemens Symbia T6 data, Siemens 2D OSEM reconstruction was also performed with eight subsets.

Techniques:

Coronal and transverse reconstructed slices of the M phantom imaged with Symbia T6. ( A , B ) Siemens Flash3D. ( C , D ) Siemens OSEM 2D with resolution recovery in the transverse plane. All are reconstructions with eight subsets and 24 iterations. Hot-iron color scale from 0% to 110% of slice maximum.

Journal: EJNMMI Research

Article Title: Quantitative capabilities of four state-of-the-art SPECT-CT cameras

doi: 10.1186/2191-219X-2-45

Figure Lengend Snippet: Coronal and transverse reconstructed slices of the M phantom imaged with Symbia T6. ( A , B ) Siemens Flash3D. ( C , D ) Siemens OSEM 2D with resolution recovery in the transverse plane. All are reconstructions with eight subsets and 24 iterations. Hot-iron color scale from 0% to 110% of slice maximum.

Article Snippet: For some Siemens Symbia T6 data, Siemens 2D OSEM reconstruction was also performed with eight subsets.

Techniques: