The phrase "advanced reconstruction algorithms" is correct and usable in written English.
You can use it in contexts related to technology, computer science, or data analysis, particularly when discussing sophisticated methods for reconstructing data or images.
Example: "The research team developed advanced reconstruction algorithms to improve the accuracy of 3D imaging in medical diagnostics."
Alternatives: "sophisticated reconstruction methods" or "complex reconstruction techniques."
High-throughput imaging of rodents will benefit from ongoing hardware evolution such as new detectors capable of achieving submillimetre spatial resolution and higher sensitivity [ 46] and advanced reconstruction algorithms modelling the PSF of the system or including both PSF and positron range modelling [ 19].
Next, advanced reconstruction algorithms are used to compute coronal section images.
Additionally, recently developed advanced reconstruction algorithms and dedicated post-processing software reduce image noise, thereby improving image quality.
So far, therefore, tilt series acquisition times have generally been reduced by acquiring fewer images over the widest tilt range available and employing advanced reconstruction algorithms such as discrete algebraic reconstruction technique (DART) or compressed sensing ET (CS-ET).
With the introduction of advanced reconstruction algorithms (e.g. using small voxels or incorporating PSF modelling), eventually combined with new digital PET technologies, EARL specification updates may be needed in the future.
Similar to the current operations implemented in the ASTRA toolbox, our work will enable the rapid design and implementation of distributed advanced reconstruction algorithms, using the distributed FP, BP and SIRT implementations as building blocks.
In parallel with these hardware developments, advanced implementations of updated image reconstruction algorithms have further improved image quality and, just as importantly, quantitative performance.
In recent years, there have been significant advances in iterative image reconstruction algorithms and scanner hardware.
With the improvement of local velocity reconstruction, advanced searching algorithms and code parallelization, the proposed method has shown great promises for complex engineering flows with higher Reynolds number.
Recent advances in detectors, attenuation correction, and iterative reconstruction algorithms look promising to develop coincidence imaging as an appealing alternative to PET for clinical positron imaging.
Recent advances in CT imaging methodology and CT image reconstruction algorithms address many of these concerns.
