The aim of this study was to evaluate the effects of IR on CT image reconstruction time and speed compared with FBP in two commonly encountered acquisition protocols in an emergency setting: pulmonary CT angiography (CTA) and total body trauma CT.
Image reconstruction algorithms with different speed and accuracy are also coded for this system.
The reconstruction algorithm plays a key role to the construction of three-dimensional ultrasound volume data with higher image quality and faster reconstruction speed.
Extensive research has gone into crystal design, time of flight technology, image reconstruction algorithms, and high speed data acquisition systems, to name a few areas of recent progress.
Magnetic resonance (MR) fluoroscopy is a method for high-speed MR image acquisition with the goals of short acquisition time per image (500 msec or less), high image rate (10 images or more per second), and high-speed image reconstruction (150 msec or less from data acquisition to image display).
In fact, for MRI it is fast enough for real-time reconstruction (the images are reconstructed as fast as they are acquired) with only slight degradation of image quality; for CT our reconstruction speed is slightly slower than required for real-time reconstruction.
The speed of image reconstruction process was significantly improved by using the new tomoRecon multi-threaded code (Rivers 2012).
The DACS also facilitates FPGA sensor data pre-processing, i.e. normalization, of the acquired tomograph data to speed up the image reconstruction.
Optimization of the illuminating beam parameters and image reconstruction methodologies are expected to further improve imaging speed, signal to noise ratio and spatial resolution.
Additionally, a cadaveric torso that presented realistic soft-tissue and bony anatomy was imaged on the C-arm, and different projectors were assessed for reconstruction speed.Nesterov's method provided equivalent image quality to OS-SQS while reducing the reconstruction time by an order of magnitude (10.0 ×) by reducing the number of iterations required for convergence.
