The purpose of the study is to evaluate the physical performance of a Biograph mCT Flow R PET/CT system (Siemens Healthcare, Germany) and to. to fundamentally change how PET imaging is performed. Powered by Siemens’ revolutionary FlowMotion™ technology,. Biograph mCT Flow™ is the world’s first. Biograph mCT Flow with FlowMotion™ technology combines our standard- setting PET/CT with a unique system design that enables continuous motion of.
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Nevertheless, the choice of the reconstruction parameters in our study for the evaluation of the image quality was based on the NEMA NU2 standard that asks to use clinically relevant settings.
Data were acquired at three transaxial locations xy: Data were reconstructed with an ordered-subset expectation maximization OSEM [ 25 ] 3D iterative algorithm, using 2 iterations i and mvt subsets sand additionally with 2 iterations and 21 subsets applying PSF correction and TOF. This relationship was modeled from an empirical logarithmic relationship.
Furthermore, the accuracy of scatter and attenuation mcct in both acquisition modes was evaluated. The maximum and minimum errors for all activity concentrations are depicted in Fig. A possible explanation could be the differences in reconstruction algorithms and post-filtering used in [ 6 ] and here.
The sphere-to-background ratio is 8: The count rate error evaluation was also slightly modified in the standard.
Biograph mCT 20 Excel – Siemens Healthineers Global
Schematic diagram of a step-and-shoot SS left and continuous right bilgraph motion CTM acquisition protocol. This configuration provides an axial field-of-view FOV of Similar to CT acquisitions, the FlowMotion acquisition system tracks the bed position in real time and stores this information in the listmode data file as a new tag for each coincidence event [ 20 ]. Author information Article notes Copyright and License information Disclaimer.
For an axial FOV excluding the low sensitivity regions at the axial endpoints of the scan range a hypothetical scan with an unlimited number of bed positionsa 4-min acquisition per bed position corresponds to a table speed of 0. In addition, a scan of the same region in CTM mode was performed with a table speed of 0.
A digital architecture for routinely storing and buffering the entire bit event stream at maximum bandwidth for every acquisition in clinical real-time 3-D PET: This technique was proposed by Dahlbom and colleges in [ 13 ] and integrated in a first PET-only system in [ 14 ].
Random sinogram variance reduction in continuous bed motion acquisition. Time of flight in PET revisited. The expected value of the true count rate is gained by a fit through all data below the peak NECR standard as opposed to the extrapolated values from the last three acquisitions standard.
The CTM acquisition followed the sequential subsequently. Healthcare Siemens White Paper.
Contributor Information Ivo Rausch, Phone: Image quality phantom hot spheres at the biograaph of the axial FOV The calculated activities at the start of the second scan were 5. Nonetheless, here, the patient handling system had a sufficient vertical table range and the line sources were filled to meet exactly the mm in-tube filling, and, therefore, these changes were not applicable to our measurements.
This is the result of the low sensitivity in biograpu part of the axial FOV Fig. Accuracy of count losses and random corrections For this evaluation, the measurements acquired for the evaluation of the scatter fraction and count rate performance was used.
Regarding the IQ test, the only difference between the and standard is a reduction of emission scan time by a factor of 2. The line source was filled with an initial activity of 1. The spatial resolution, sensitivity, scatter fraction, and count rates were in concordance with the published values for the predecessor system, the Biograph mCT. NEMA NU measurements All measurements were performed at the site of the clinical installation of the system between August and December This article has been cited by other articles in PMC.
No noticeable differences were found between the two systems. Based on the biogra;h of Armstrong [ 25 ], this difference would increase biorgaph the smaller spheres when TOF was included into the reconstruction algorithm.
This information can be used to significantly improve the image signal-to-noise ratio SNR hiograph the reconstructed PET images, thus, allowing for better image quality and shorter acquisition times [ 89 ].