Theobald Fuchs

Technical advances in multi-slice spiral CT.

X-ray computerised tomography (CT) scanning with continuous patient transport has been established under the name Spiral CT since several years as the standard clinical examination procedure. This technique has been improved continuously with respect to scan speed, temporal response and z-axis resolution by the use of latest technical developments: Rotation times up to 0.5 s and multi-row detector array systems. Today detector systems with M + 4 simultaneously measured slices are available. We report about recent progress of spiral CT reconstruction algorithms that are based on multi-slice data. It is demonstrated that the new technology not only provides significant reduction in overall scan times and thereby of the CT scanner?s X-ray tube load; beyond that, the new technology allows CT imaging of the beating heart with high level image quality in standard clinical routine.

Spiral interpolation algorithm for multislice spiral CT. I. Theory

This paper presents the adaptive axial interpolator (AAI), a novel spiral interpolation approach for multislice spiral computed tomography (CT) implemented in a clinical multislice CT scanner, the SOMATOM Volume Zoom (Siemens Medical Systems, Forchheim, Germany). The method works on parallel-beam data generated from the acquired fan-beam data by azimuthal rebinning. Spiral interpolation is performed by distance-dependent weighting; i.e., for each ray, its distance to the image plane is evaluated and serves as an argument to a freely selectable weighting function, resulting in a weight factor. A normalization step is applied to the weight factors to ensure that the sum of all corresponding weights (i.e., the weights applied to rays that contribute to the same ray in the interpolated sinogram) is 1. By selection of appropriate weighting functions and suitable adjustment of the tube current, it is possible to keep the slice sensitivity profiles (SSP) as well as the pixel noise constant for all pitch values in the relevant range. Also, a large range of slice-thickness can be reconstructed from a given collimation. The method is, thus, very versatile. Further advantages are that it uses the entire applied dose for imaging and allows for efficient implementation using a table lookup approach.

System performance of multislice spiral computed tomography

Multislice spiral CT offers many new possibilities for clinical CT imaging. Drastically increased scan speeds and z-resolution, respectively, as well as applications such as cardiac CT that have become feasible for the first time in routine clinical use. The concept of multiple simultaneously acquired slices yields image quality equivalent or better than single-slice spiral CT. Especially, there is no dependence on spiral pitch, neither with regard to noise nor to slice sensitivity. The reconstructed slice width can be chosen freely and retrospectively, which offers additional flexibility when evaluating optimal protocols for various kinds of examinations. Three-dimensional isotropic resolution can be achieved routinely with examinations fast enough to scan in a single breath hold (Fig. 9). Without any drawbacks in image quality, MSCT in combination with online tube current modulation can reduce patient dose. In some body regions, dose is decreased to 50% compared to a scan with constant tube current. One of the most promising new applications is the dedicated ECG-gated cardiac interpolation 180 degrees MCI, which allows four-dimensional (4-D) imaging of the heart. The complete beating heart can be reconstructed in well-defined phases of the heart cycle, thereby adding high temporal resolution to isotropic 3-D spatial resolution (for more examples refer to http://www.imp.uni-erlangen.de/e/research/cardio/).

Direct comparison of a xenon and a solid-state CT detector system: measurements under working conditions

Measurements of various image quality parameters were carried out with two different detector systems in an otherwise unchanged medical computed tomography (CT) scanner. As all other components of the scanner and the image reconstruction system remained identical, the authors were able to quantify the difference in performance between a xenon gas ionization detector and a new solid-state scintillation detector in an isolated fashion. The authors determined noise, spatial resolution, and artifact behavior and assessed the potential for dose reduction. No significant impact of the detector change on absolute CT values of a calibration phantom was observed. Spatial resolution was improved by more than 10% for the solid-state system. As the systems modulation transfer functions were measured with a wire phantom and otherwise unchanged scanner geometry and image reconstruction algorithm, the increase of resolution is explained by the improved temporal response of the solid-state detector. At the same time, noise was reduced by 12% for a 20-cm diameter water phantom. The noise reduction corresponds to a possible reduction of patient dose by 23% for constant image quality, which is in good agreement with our prediction by estimations of both systems total detective quantum efficiency. Also, a significant improvement of scatter rejection was found for the solid-state system.

Fast volume scanning approaches by X-ray-computed tomography

X-ray-computed tomography (CT) successfully underwent a transition from slice-by-slice imaging to volume imaging in the decade after 1990 due to the introduction of spiral scan modes. Later, the transition from single-slice to multislice scanning followed. With the advent of new detector technologies we are now looking forward to circular and spiral scanning using area detectors and the respective reconstruction approaches. This review treats the basic technological and algorithmic prerequisites and approaches. It goes into detail with respect to the achievable performance and image quality characteristics and discusses the range of applications. Scanning of the complete body trunk with submillimeter isotropic resolution in less than 30 s is possible today. Further extensions to new medical applications, for example, cardiac CT, but also to nonmedical applications, for example, nondestructive material testing, make CT an emerging imaging modality again.