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M Caon

Publications and source records attributed to M Caon.

10 recordsLinked to original sources
PubMed2001

Automating the segmentation of medical images for the production of voxel tomographic computational models.

Radiation dosimetry for the diagnostic medical imaging procedures performed on humans requires anatomically accurate, computational models. These may be constructed from medical images as voxel-based tomographic models. However, they are time consuming to produce and as a consequence, there are few available. This paper discusses the emergence of semi-automatic segmentation techniques and describes an application (iRAD) written in Microsoft Visual Basic that allows the bitmap of a medical image to be segmented interactively and semi-automatically while displayed in Microsoft Excel. iRAD will decrease the time required to construct voxel models.

Computer Simulation↗
PubMed1999

An EGS4-ready tomographic computational model of a 14-year-old female torso for calculating organ doses from CT examinations.

Fifty-four consecutive CT scans have been used to construct a tomographic computational model of a 14-year-old female torso suitable for the determination of organ doses from CT. The model, known as ADELAIDE, is in the form of an input file compatible with user codes based on XYZDOS.MOR from the readily available EGS4 Monte Carlo radiation transport code. ADELAIDE's dimensions are close to the Australian averages for her age so the model is representative of a 14-year-old girl. The realistic anatomy in the model differs considerably from that in Cristy's 15-year-old mathematical computational model by having realistically shaped organs that are appropriately located within a real external contour. Average absorbed dose to organs from simulated CT examinations of the chest and abdomen have been calculated for ADELAIDE using EGS4 within a geometry specific to the General Electric Hi-Speed Advantage CT scanner and using an x-ray spectrum calculated using data from the scanner's x-ray tube. The simulations include the scanner's beam shaping filter and patient table. It is suggested that the resulting values have fewer possible sources of uncertainty than organ doses derived from dose coefficients calculated for a MIRD style model with mathematical anatomy and a spectrum that may not match that of the scanner. The organ doses were normalized using the scanner's CTDI measured free-in-air and an EGS4 simulation of the CTDI measurement. Effective dose to the torso from 26-slice chest and 24-slice abdomen examinations (at 120 kV, 200 mAs, 7 mm slices) is 4.6 +/- 0.1 mSv and 4.3 +/- 0.1 mSv respectively.

Adolescent↗
PubMed1999

Off-axis x-ray spectra: a comparison of Monte Carlo simulated and computed x-ray spectra with measured spectra.

The off-axis x-ray spectra from a constant potential x-ray generator were measured with a high purity germanium spectrometer cooled to liquid nitrogen temperature. The measured spectra were compared with off-axis x-ray spectra calculated using a code based on the semiempirical model developed by Tucker et al. and Monte Carlo simulated x-ray spectra using the EGS4 code system. In this study, both the Tucker model, and the EGS4 code system, were found to produce off-axis bremsstrahlung x-ray spectra which agreed well with the spectra measured at three emerging angles. In the measured and the EGS4 generated spectra the total K-characteristic peaks were in increasing order, as observed in the anode to cathode direction, whereas the Tucker model produced maximum total K-characteristic peaks at the 6 degrees anode side, and lesser amounts at the central axis and the 6 degrees cathode side. Large differences in the total K-characteristic lines is seen among the three different methods. The EGS4 code system was able to produce x-ray spectra for a combination of target materials.

Computer Simulation↗
PubMed1998

Diagnostic x-ray spectra: a comparison of spectra generated by different computational methods with a measured spectrum.

A number of computer codes, developed using semi-empirical models, are available to compute x-ray spectra from a tungsten target for different tube parameters. In this study x-ray spectra measured with a high-purity germanium detector are compared with those computed using the empirical models and previously published measured data. The computer codes used to generate the spectra are based on models proposed by Birch et al. and Tucker et al. The measured x-ray spectra agreed well with the computed x-ray spectra using the model of Tucker et al. whereas the model of Birch et al. produced a "harder" x-ray spectrum compared to the measured spectra. Our measured x-ray spectra compared well with the previously published measured spectral data of Fewell et al.

Americium↗
PubMed1998

The effect on dose to computed tomography phantoms of varying the theoretical x-ray spectrum: a comparison of four diagnostic x-ray spectrum calculating codes.

Theoretical x-ray spectra calculated by four different codes for the same tube parameters are compared by calculating and measuring doses to computed tomography (CT) body and head phantoms. The effect on the 120 kV spectrum, and hence on the calculated dose, of varying the anode angle, tube voltage, and total filtration of the x-ray tube is investigated. Codes used were those of Nowotny and Höfer (XCOMP), Boone, Iles, and Tucker et al. The code based on the work of Tucker et al. produced calculated doses noticeably lower than the other codes and compared best to the measured value. The variation in calculated dose between the Tucker code and the others is of the same order as the variation introduced by uncertainties in total filtration of about 20%, in peak tube voltage of +/- 4 kV, and in change of anode angle from 7 degrees to 13 degrees.

Biophysical Phenomena↗
PubMed1997

A comparison of radiation dose measured in CT dosimetry phantoms with calculations using EGS4 and voxel-based computational models.

CT is a high-dose examination and possibly the dominant contributor to dose from diagnostic radiology. Estimates of organ doses are obtained from Monte Carlo calculations and used to quantify radiation risk. To ensure the validity of using Monte Carlo calculations to estimate actual dose, measurements must be compared with calculations. We have measured doses to CT head and chest dosimetry phantoms and compared them with Monte Carlo (EGS4) calculated doses in voxel-based computational models of the phantoms. The simulation used an x-ray spectrum calculated from the specified values of the scanner's x-ray tube parameters. The scanner's beam-shaping filter was included in the modelling. Measured and calculated doses to both the head and chest phantoms agreed to within 7%. The inclusion of Rayleigh scattering in the calculations has a significant effect if only one slice is scanned but not if multiple slices are scanned.

Head↗
PubMed1993

Why do some nursing students find their science courses difficult?

A sample of undergraduate nursing students were allocated, according to their results in the first nursing science exam, to one of three groups: "successful," "unsuccessful," and "middle." The sample was surveyed about the perceived difficulty of their science course and reasons for the difficulty. The responses of the three groups were compared for significant differences using the Kruskal-Wallis H statistic. The successful group was significantly different from the unsuccessful group in a number of responses to the questionnaire. Students in the unsuccessful group perceive that their science course is difficult, have a low opinion of their ability in science, and are not convinced of the relevance of their science course to nursing.

Attitude↗
PubMedDate not supplied

Passing school biology: a predictor of success in nursing science courses?

A correlation was found between students' SA Year 12 public examination school biology scores and subsequent success in an undergraduate nursing science course. The group of students most successful in science courses had a higher mean school biology score than the group who were least successful. Some mature age students with no background in science were able to perform as well as those who had passed publicly-examined biology at school. Hence biology should not be a prerequisite for mature age entrants.

Biology↗