Open AccessCortical bone vessel identification and quantification on contrast-enhanced MR images
Author(s) -
PoHung Wu,
Matthew Gibbons,
Sarah C. Foreman,
Julio CarballidoGamio,
Misung Han,
Roland Krug,
Jing Liu,
Thomas M. Link,
Galateia J. Kazakia
Publication year - 2019
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2019.05.23
Subject(s) - voxel , cortical bone , partial volume , biomedical engineering , x ray microtomography , volume (thermodynamics) , materials science , nuclear medicine , anatomy , medicine , radiology , physics , quantum mechanics
Cortical bone porosity is a major determinant of bone strength. Despite the biomechanical importance of cortical bone porosity, the biological drivers of cortical porosity are unknown. The content of cortical pore space can indicate pore expansion mechanisms; both of the primary components of pore space, vessels and adipocytes, have been implicated in pore expansion. Dynamic contrast-enhanced MRI (DCE-MRI) is widely used in vessel detection in cardiovascular studies, but has not been applied to visualize vessels within cortical bone. In this study, we have developed a multimodal DCE-MRI and high resolution peripheral QCT (HR-pQCT) acquisition and image processing pipeline to detect vessel-filled cortical bone pores.