When evaluating functional relationships from given data in an exploretory state of investigation, we only want to get an imagination of a possibly exiefing trend. Usually, methods of local or empiri-4 regression are chosen to meet this purpose. I n the paper we ~~g g & an alternative using the poss
Computer analysis of laser dosimetry data: A method of accurate energy density delivery
โ Scribed by Dr. Antoine N. Karbaj; Gerald T. Ahigian; Alan Stewart; Melvin Edralin; R. Patrick Abergel; Richard M. Dwyer; Malcolm A. Lesavoy; Jouni Uitto
- Publisher
- John Wiley and Sons
- Year
- 1985
- Tongue
- English
- Weight
- 415 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0196-8092
No coin nor oath required. For personal study only.
โฆ Synopsis
In the past, utilization of the laser in medicine has been limited by the lack of accurate quantification of the energies delivered to the tissue. Data obtained in the course of this investigation have demonstrated the relationships which exist between the energy delivered to the tissue and the optical system composed of the fiber and focusing lens. A continuous-wave multimode Nd:YAG laser (1,064 nm) was used in these experiments. Utilizing the beam scan technique previously described, we recorded over 100 beam profiles at various distances from the handpiece (fiber optic and lens). Computer analysis of our data established the mathematical correlation between the surface area of the irradiated spot and the distance of the handpiece to the target, thus allowing us to predict the surface area of the irradiated spot to any desired distance.
By duplicating our methods with his particular optical system, the clinician or any laser user has the capacity to determine the energy delivered to the tissue (J/ cm2) by knowing the power of the laser (watts), the time of exposure (seconds), and the distance of the handpiece to the treatment site (centimeters).
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The new transferable atom equivalent TAE method for rapid molecular electron density reconstruction was used to compute a set of molecular surface property descriptors. These descriptors were then used to construct HPLC column capacity factor PLS models for a series of high-energy materials. The new