Assessing the validity of modulation transfer function evaluation techniques with application to small area and scanned digital detectors.

A novel prototype step and shoot x-ray system, the intelligent imaging system (I-Imas), has been developed in the UCL Radiation Physics laboratories. The system uses collimators to split the beam into two: the first, "scout" beam, strongly attenuated, identifies regions of interest in the image. This information is then fed back to the system so that the intensity of the second beam is modulated to optimize the dose distribution--i.e., "interesting" regions of the sample receive a higher dose, whereas other regions receive a lower one. Such systems may be capable of improved diagnostic capability at the same overall patient dose levels as typical when using large area digital plates. This acquisition mode means that large overall images are obtained by aligning many smaller images. This paper investigates the effects that this acquisition modality has on the overall spatial resolution of the system. We review different modulation transfer function (MTF) evaluation techniques and those shown to be optimal are used in the investigation of two considerations key to such a system: (i) whether there is a minimum size sensor whose MTF can accurately be determined using these techniques and (ii) whether the MTF of the large overall image differs significantly from those of the many constituent images. As the use of step and shoot systems is becoming more and more widespread, both are important considerations. We found that, for a fixed pixel pitch, the MTF is determined marginally less accurately the smaller the sensor area, with the perceived resolution varying by up to 0.1 lp/mm. It was also found that use of such a step and shoot technique does cause a very small overall degradation in resolution. The resolution of overall images was calculated to be 0.1 lp/mm lower than that of the individual images acquired.

Preliminary images from an adaptive imaging system.

I-ImaS (Intelligent Imaging Sensors) is a European project aiming to produce real-time adaptive X-ray imaging systems using Monolithic Active Pixel Sensors (MAPS) to create images with maximum diagnostic information within given dose constraints. Initial systems concentrate on mammography and cephalography. In our system, the exposure in each image region is optimised and the beam intensity is a function of tissue thickness and attenuation, and also of local physical and statistical parameters in the image. Using a linear array of detectors, the system will perform on-line analysis of the image during the scan, followed by optimisation of the X-ray intensity to obtain the maximum diagnostic information from the region of interest while minimising exposure of diagnostically less important regions. This paper presents preliminary images obtained with a small area CMOS detector developed for this application. Wedge systems were used to modulate the beam intensity during breast and dental imaging using suitable X-ray spectra. The sensitive imaging area of the sensor is 512 x 32 pixels 32 x 32 microm(2) in size. The sensors' X-ray sensitivity was increased by coupling to a structured CsI(Tl) scintillator. In order to develop the I-ImaS prototype, the on-line data analysis and data acquisition control are based on custom-developed electronics using multiple FPGAs. Images of both breast tissues and jaw samples were acquired and different exposure optimisation algorithms applied. Results are very promising since the average dose has been reduced to around 60% of the dose delivered by conventional imaging systems without decrease in the visibility of details.