Fully automated bone mineral density assessment from low-dose chest CT

Shuang Liu; Jessica Gonzalez; Javier Zulueta; Juan P. de-Torres; David F. Yankelevitz; Claudia I. Henschke; Anthony P. Reeves

doi:10.1117/12.2293838

27 February 2018 Fully automated bone mineral density assessment from low-dose chest CT

Shuang Liu, Jessica Gonzalez, Javier Zulueta, Juan P. de-Torres, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves

Author Affiliations +

Proceedings Volume 10575, Medical Imaging 2018: Computer-Aided Diagnosis; 105750M (2018) https://doi.org/10.1117/12.2293838
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

A fully automated system is presented for bone mineral density (BMD) assessment from low-dose chest CT (LDCT). BMD assessment is central in the diagnosis and follow-up therapy monitoring of osteoporosis, which is characterized by low bone density and is estimated to affect 12.3 million US population aged 50 years or older, creating tremendous social and economic burdens. BMD assessment from DXA scans (BMD_DXA) is currently the most widely used and gold standard technique for the diagnosis of osteoporosis and bone fracture risk estimation. With the recent large-scale implementation of annual lung cancer screening using LDCT, great potential emerges for the concurrent opportunistic osteoporosis screening. In the presented BMD_CT assessment system, each vertebral body is first segmented and labeled with its anatomical name. Various 3D region of interest (ROI) inside the vertebral body are then explored for BMD_CT measurements at different vertebral levels. The system was validated using 76 pairs of DXA and LDCT scans of the same subject. Average BMD_DXA of L1-L4 was used as the reference standard. Statistically significant (p-value < 0.001) strong correlation is obtained between BMD_DXA and BMD_CT at all vertebral levels (T1 – L2). A Pearson correlation of 0.857 was achieved between BMDDXA and average BMDCT of T9-T11 by using a 3D ROI taking into account of both trabecular and cortical bone tissue. These encouraging results demonstrate the feasibility of fully automated quantitative BMD assessment and the potential of opportunistic osteoporosis screening with concurrent lung cancer screening using LDCT.

Conference Presentation

Citation Download Citation

Shuang Liu, Jessica Gonzalez, Javier Zulueta, Juan P. de-Torres, David F. Yankelevitz, Claudia I. Henschke, and Anthony P. Reeves "Fully automated bone mineral density assessment from low-dose chest CT ", Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 105750M (27 February 2018); https://doi.org/10.1117/12.2293838

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available