Abstract Archives of the RSNA, 2009
LL-IN2153-L10
A Discrimination Method of 2D Chest X-Rays (Examinations) and MDCT 3D Comparison System Using Extract Essence from Volume Elements for Mass Disasters and War Victims
Scientific Posters
Presented on December 2, 2009
Presented as part of LL-IN-L: Informatics
Seiji M. Yamamoto MD, Presenter: Nothing to Disclose
Ryota Shimofusa MD, Abstract Co-Author: Nothing to Disclose
Ken Motoori MD, Abstract Co-Author: Nothing to Disclose
Takuro Horikoshi MD, Abstract Co-Author: Nothing to Disclose
Toshiki Kazama MD, Abstract Co-Author: Nothing to Disclose
Takafumi Aoki PhD, Abstract Co-Author: Nothing to Disclose
Takami Kasai MD, Abstract Co-Author: Nothing to Disclose
Kohei Inoue MD, PhD, Abstract Co-Author: Nothing to Disclose
Takashi Higashide, Abstract Co-Author: Nothing to Disclose
00030490-DMT et al, Abstract Co-Author: Nothing to Disclose
We have proposed a discrimination system of 2D chest X-Rays (examinations) and MDCT 3D comparison system using SBMS which can reduce the effort of identification and discrimination victim’s images for mass disasters and war victims.
In case of mass murder, disasters or wars, discrimination of body and body is a difficult task, however difficult it may prove to be, it must be done. This study was designed to examine the result of comparison of 2D chest X-Rays (examinations) and MDCT 3D objects with the system based on divided up volume elements.
Before using this method Pre-preparation is needed to handle small divided volume elements with 3D software (Volumedic and Lightwave 3D, Volumedic mesh function).
Each Collarbones should be used this examination and had to be segmental.
As the same way, 2D chest X-Rays data has to be emphasized and registered to adjust its Euclidean, Similarity, Affine Projective Curved etc.
With using each divided volume elements and registered radiograph which are taken before, calculate small box matching system to find similarity points.
The technique based on Volume elements and registered radiograph matching score calculation using SBMS.
Our data consists of 20 images with 256 an arithmetic code.
As an experiment, we investigate 10 actual patients data. 20 subjects (2D chest X-Rays and MDCT at the same time), are matched to 20 subjects the total number of pairs 256 x 20 x 256.
We evaluate the screening performance by the point ranking of similarity for each small divided graphics. From this experimental result, the number of the genuine pairs whose matching scores are ranked top is 102 points; the recognition rate was 65%. The top score of top 5 rank graphic were same makes of X Ray system. Total calculation time was 7.2 seconds.
Provided that kVp and mAs has same protocol, an evaluation score will be up in collect portion.
Yamamoto, S,
Shimofusa, R,
Motoori, K,
Horikoshi, T,
Kazama, T,
Aoki, T,
Kasai, T,
Inoue, K,
Higashide, T,
et al, 0,
A Discrimination Method of 2D Chest X-Rays (Examinations) and MDCT 3D Comparison System Using Extract Essence from Volume Elements for Mass Disasters and War Victims. Radiological Society of North America 2009 Scientific Assembly and Annual Meeting, November 29 - December 4, 2009 ,Chicago IL.
http://archive.rsna.org/2009/8013161.html