Abstract #0086

Automated, reference-free quantification of cortical bone parameters detects impairments in postmenopausal osteoporosis

Brandon Clinton Jones^1,2, Felix Werner Wehrli¹, Nada Kamona^1,2, Brian-Tinh Duc Vu^1,2, Hyunyeol Lee^1,3, Hee Kwon Song¹, Mona al Mukaddam⁴, Peter J Snyder⁴, Trevor Chan¹, Walter RT Witschey¹, Matthew MacLean¹, Nicholas J Josselyn^1,5, Srikant Kamesh Iyer¹, and Chamith Sudesh Rajapakse¹

¹Radiology, University of Pennsylvania, Philadelphia, PA, United States, ²Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, ³School of Electronics, Kyungpook National University, Daegu, Korea, Republic of, ⁴Endocrinology, University of Pennsylvania, Philadelphia, PA, United States, ⁵Data Science, Worcester Polytechnic Institute, Worcester, MA, United States

Synopsis

Keywords: Bone, Aging, Osteoporosis, Porosity, ultrashort echo timeWhile ultrashort echo time (UTE) measures of pore water have shown promise in assessing cortical bone porosity, most are hindered by the need for complicated processing and reference samples. The suppression ratio (SR) is a marker of porosity which is simply calculated as the voxel-wise ratio of two UTE magnitude images, one without and with long-T₂ suppression. Automated cortical bone segmentation via deep learning showed elevated SR in postmenopausal women with osteoporosis (P=0.001) and was strongly associated with pore water density (R=0.93) and with pQCT BMD (R=-0.88). Results suggest that SR can detect elevated porosity in postmenopausal osteoporosis.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.