Development of automated image analysis tools for verification of radiotherapy field accuracy with an electronic portal imaging device

The successful management of cancer with radiation relies on the accurate deposition of a prescribed dose to a prescribed anatomical volume within the patient. Treatment set-up errors are inevitable because the alignment of field shaping devices with the patient must be repeated daily up to eighty times during the course of a fractionated radiotherapy treatment. With the invention of electronic portal imaging devices (EPIDs), patient's portal images can be visualized daily in real-time after only a small fraction of the radiation dose has been delivered to each treatment field. However, the accuracy of human visual evaluation of low-contrast portal images has been found to be inadequate. The goal of this research is to develop automated image analysis tools to detect both treatment field shape errors and patient anatomy placement errors with an EPID. A moments method has been developed to align treatment field images to compensate for lack of repositioning precision of the image detector. A figure of merit has also been established to verify the shape and rotation of the treatment fields. Following proper alignment of treatment field boundaries, a cross-correlation method has been developed to detect shifts of the patient's anatomy relative to the treatment field boundary. Phantom studies showed that the moments method aligned the radiation fields to within 0.5mm of translation and 0.5$\sp\circ$ of rotation and that the cross-correlation method aligned anatomical structures inside the radiation field to within 1 mm of translation and 1$\sp\circ$ of rotation. A new procedure of generating and using digitally reconstructed radiographs (DRRs) at megavoltage energies as reference images was also investigated. The procedure allowed a direct comparison between a designed treatment portal and the actual patient setup positions detected by an EPID. Phantom studies confirmed the feasibility of the methodology. Both the moments method and the cross-correlation technique were implemented within an experimental radiotherapy picture archival and communication system (RT-PACS) and were used clinically to evaluate the setup variability of two groups of cancer patients treated with and without an alpha-cradle immobilization aid. The tools developed in this project have proven to be very effective and have played an important role in detecting patient alignment errors and field-shape errors in treatment fields formed by a multileaf collimator (MLC). ^

The role of specific regions of ribosomal RNAs in translation termination

The ribosome is a molecular machine that produces proteins in a cell. It consists of RNAs (rRNAs) and proteins. The rRNAs have been implicated in various aspects of protein biosynthesis supporting the idea that they function directly in translation. In this study the direct involvement of rRNA in translation termination was hypothesized and both genetic and biochemical strategies were designed to test this hypothesis. As a result, several regions of rRNAs from both ribosomal subunits were implicated in termination. More specifically, the mutation G1093A in an RNA of the large subunit (23S rRNA) and the mutation C1054A in the small subunit RNA (16S rRNA) of the Escherichia coli ribosome, were shown to affect the binding of the proteins that drive termination, RF1 and RF2. These mutations also caused defects in catalysis of peptidyl-tRNA hydrolysis, the last step of termination. Furthermore, the mutations affected the function of RF2 to a greater extent than that of RF1, a striking result considering the similarity of the RFs. The major defect in RF2 function was consistent with in vivo characteristics of the mutants and can be explained by the inability of the mutant rRNA sites to activate the hydrolytic center, that is the catalytic site for peptidyl-tRNA hydrolysis. Consistent with this explanation is the possibility of a direct interaction between the G1093-region (domain II of 23S rRNA) and the hydrolytic center (most likely domains IV–VI of 23S rRNA). To test that interaction hypothesis selections were performed for mutations in domains IV–VI that compensated for the growth defects caused by G1093A. Several compensatory mutations were isolated which not only restored growth in the presence of G1093A but also appeared to compensate for the termination defects caused by the G1093A. Therefore these results provided genetic evidence for an intramolecular interaction that might lead to peptidyl-tRNA hydrolysis. Finally, a new approach to the study of rRNA involvement in termination was designed. By screening a library of rRNA fragments, a fragment of the 23S rRNA (nt 74-136) was identified that caused readthrough of UGA. The antisense RNA fragment produced a similar effect. The data implicated the corresponding segment of intact 23S rRNA in termination. ^