Geometric data collection in medical imaging

Abstract

Introduction.

The different, proprietary or GPU, three dimensional structural

generation software from two dimensions medical images, has results

which are based on each developer team’s particular considerations,

1. e., different software applications can show different results while

working from the same data source. This sows the seeds of doubts

about the reliability of the results, being necessary a non-modifi ed

data interpretation.

Material and Methods.

In order to achieve the correct interpretation of the data contained in

medical image techniques, a low level data access has been carried

out, comparing the obtained values with their graphic representation

and getting, this way, a three dimensional structure which fi ts the

original information without being post-processed.

Results.

Obtained results made possible to know the accurate three dimensional

position of the anatomic landmarks independently of image

acquisition stage’s intrinsic factors. In this way, the accurate anatomical

reconstruction and simulation of patient’s structures is possible.

Conclusions.

X, Y, Z position of each point, acquisition time, volume of point,

absorption coeffi cient and scale are critical data for a reliable

geometric reconstruction. A computer application oriented to be used

by engineers should interpret with high reliability values present in

DICOM attributes prevailing accuracy over the functionality of the

software.