Report on the study and optimisation of chestand lumbar spine X-ray imaging
2000 (English)Report (Other academic)
The optimisation of radiological equipment and equipment parameters is a key stage in the optimisation of image quality and patient dose in diagnostic radiology. It is essential, however, to underpin such optimisation with theoretical modelling which can provide both the direct quantification of the effect on image quality and dose of changes in system parameters and the opportunity for optimisation of equipment selection and use.
Our principal contribution to the joint CEC-project 'Predictivity and Optimisation in Diagnostic Radiology' is in modelling of planar chest and lumbar spine radiographic examinations. The results of this work for the chest PA, lumbar spine AP and lumbar spine lateral examinations are presented in this report. Prior to this, several development stages have been completed which include the calibration and validation of our methods by measurements in the clinical environment on patients and patient images. These important aspects are not dealt with in detail here, but are described in separate reports. This report focuses on three aspects from our results of using our Monte Carlo model of the patient and imaging equipment:
- (1) Study of the effects on image quality and patient dose when the imaging parameters are varied;
- Establishment of imaging parameters and systems that result in as least as good image quality as systems with good performance singled out from results of clinical trials (optimisations);
- Comparison of the results from the model with the results from clinical trials performed by partners in the joint CEC-project.
An objective of the report is to present our results at a level of detail not usually possible in the refereed scientific literature. The report should therefore not be read all at once, but preferably used as a ‘reference library’ or documentation of all our efforts. There are many interesting results and findings from this collaborative work and these will be submitted for publication to the appropriate journals.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 2000. , 61 p.
Report / Department of Radiology, Linköping University, 1998-, 91
Radiology, Nuclear Medicine and Medical Imaging
IdentifiersURN: urn:nbn:se:liu:diva-57832ISRN: LIU--RAD-R--91OAI: oai:DiVA.org:liu-57832DiVA: diva2:327960