TY - JOUR
T1 - Selection of fluidic flow region of interest in a medical device using proper orthogonal decomposition
AU - Hota, Piyush
AU - Thakkar, Nihar Rameshbhai
AU - Barnett, Cole
AU - Clements, Brianna
AU - Alsubhi, Abdulmajeed
AU - Thomas, Leslie
AU - Forzani, Erica
AU - Lind, Marylaura
AU - Español, Malena I.
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/8/17
Y1 - 2023/8/17
N2 - The present study aims at identifying an optimal spatial region of interest (ROI) by means of image analysis of a temporal data set obtained by a novel medical device. To achieve this, a lower-dimensional approximation technique, Proper Orthogonal Decomposition(POD) is used since it is well-known for highlighting a region of interest in a flow field effectively. Primary attention was devoted to studying the regions of the highest absorbance and intensity that were successfully computed by mode one of the decomposition. Due to the running cost of POD with higher memory storage requirements, some techniques related to dimensionality reduction, such as averaging data, economy singular value decomposition (SVD) tool, and preconditioning techniques, were applied. Results indicated that the region of interest chosen merely by visual inspection differs from the one chosen through POD in terms of the highest change in absorbance and intensity. This simple methodology can be easily extended to a variety of applications involving image processing of temporal data.
AB - The present study aims at identifying an optimal spatial region of interest (ROI) by means of image analysis of a temporal data set obtained by a novel medical device. To achieve this, a lower-dimensional approximation technique, Proper Orthogonal Decomposition(POD) is used since it is well-known for highlighting a region of interest in a flow field effectively. Primary attention was devoted to studying the regions of the highest absorbance and intensity that were successfully computed by mode one of the decomposition. Due to the running cost of POD with higher memory storage requirements, some techniques related to dimensionality reduction, such as averaging data, economy singular value decomposition (SVD) tool, and preconditioning techniques, were applied. Results indicated that the region of interest chosen merely by visual inspection differs from the one chosen through POD in terms of the highest change in absorbance and intensity. This simple methodology can be easily extended to a variety of applications involving image processing of temporal data.
UR - http://www.scopus.com/inward/record.url?scp=85176737001&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85176737001&partnerID=8YFLogxK
U2 - 10.1063/5.0157212
DO - 10.1063/5.0157212
M3 - Conference article
AN - SCOPUS:85176737001
SN - 0094-243X
VL - 2890
JO - AIP Conference Proceedings
JF - AIP Conference Proceedings
IS - 1
M1 - 020002
T2 - 10th National Conference on Recent Developments in Mechanical Engineering, RDME 2022
Y2 - 15 September 2022 through 16 September 2022
ER -