TY - GEN
T1 - Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models
AU - Majumdar, Aurijoy
AU - Jen, Kuang Yu
AU - Jain, Sanjay
AU - Tomaszewski, John E.
AU - Sarder, Pinaki
N1 - Publisher Copyright:
© 2019 SPIE.
PY - 2019
Y1 - 2019
N2 - In diabetic nephropathy (DN), hyperglycemia drives a progressive thickening of glomerular filtration surfaces, increased cell proliferation as well as mesangial expansion and a constriction of capillary lumens. This leads to progressive structural changes inside the Glomeruli. In this work, we make a study of structural glomerular changes in DN from a graph-theoretic standpoint, using features extracted from Minimal Spanning Trees (MSTs) constructed over intercellular distances in order to classify the "packing signatures" of different DN stages. We further investigate the significance of the competing effects of Volume change measured here in 2Dimensional Pixel span area (Area) on one hand and increased cell proliferation on the other in determining the packing patterns. Towards that we formulate the problem as Dynamic Bayesian Network (DBN). From our preliminary results we do postulate that volume expansion caused by internal pressure as capillary lumens constriction has perhaps has a greater effect in the early stages.
AB - In diabetic nephropathy (DN), hyperglycemia drives a progressive thickening of glomerular filtration surfaces, increased cell proliferation as well as mesangial expansion and a constriction of capillary lumens. This leads to progressive structural changes inside the Glomeruli. In this work, we make a study of structural glomerular changes in DN from a graph-theoretic standpoint, using features extracted from Minimal Spanning Trees (MSTs) constructed over intercellular distances in order to classify the "packing signatures" of different DN stages. We further investigate the significance of the competing effects of Volume change measured here in 2Dimensional Pixel span area (Area) on one hand and increased cell proliferation on the other in determining the packing patterns. Towards that we formulate the problem as Dynamic Bayesian Network (DBN). From our preliminary results we do postulate that volume expansion caused by internal pressure as capillary lumens constriction has perhaps has a greater effect in the early stages.
KW - Diabetic nephropathy
KW - Dynamic Bayesian Network
KW - Graphical Models
KW - Medical Image processing
KW - Minimum Spanning Tree
KW - Support Vector Machine
KW - Whole slide image analysis
UR - http://www.scopus.com/inward/record.url?scp=85068701474&partnerID=8YFLogxK
U2 - 10.1117/12.2513598
DO - 10.1117/12.2513598
M3 - Conference contribution
C2 - 31186597
AN - SCOPUS:85068701474
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2019
A2 - Tomaszewski, John E.
A2 - Ward, Aaron D.
PB - SPIE
T2 - Medical Imaging 2019: Digital Pathology
Y2 - 20 February 2019 through 21 February 2019
ER -