TY - GEN
T1 - Immersive sonification for displaying brain scan data
AU - Roginska, Agnieszka
AU - Mohanraj, Hariharan
AU - Ballora, Mark
AU - Friedman, Kent
PY - 2013/5/27
Y1 - 2013/5/27
N2 - Scans of brains result in data that can be challenging to display due to its complexity, multi-dimensionality, and range. Visual representations of such data are limited due to the nature of the display, the number of possible dimensions that can be represented visually, and the capacity of our visual system to perceive and interpret visual data. This paper describes the use of sonification to interpret brain scans and use sound as a complementary tool to view, analyze, and diagnose. The sonification tool SoniScan is described and evaluated as a method to augment visual brain data display.
AB - Scans of brains result in data that can be challenging to display due to its complexity, multi-dimensionality, and range. Visual representations of such data are limited due to the nature of the display, the number of possible dimensions that can be represented visually, and the capacity of our visual system to perceive and interpret visual data. This paper describes the use of sonification to interpret brain scans and use sound as a complementary tool to view, analyze, and diagnose. The sonification tool SoniScan is described and evaluated as a method to augment visual brain data display.
UR - http://www.scopus.com/inward/record.url?scp=84877952683&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877952683&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84877952683
SN - 9789898565372
T3 - HEALTHINF 2013 - Proceedings of the International Conference on Health Informatics
SP - 24
EP - 33
BT - HEALTHINF 2013 - Proceedings of the International Conference on Health Informatics
T2 - International Conference on Health Informatics, HEALTHINF 2013
Y2 - 11 February 2013 through 14 February 2013
ER -