Automated segmentation method for spinal column based on a dual elliptic column model and its application for virtual spinal straightening.

Abstract:

:Segmentation of vertebral bones in computed tomographic data is important as a first stage of image-based radiological tasks. However, it is a challenging problem to segment an affected spine correctly. In this study, we propose a new method of segmentation of thoracic and lumbar vertebral bodies from thin-slice computed tomographic images. Especially, we focus on a deformable model-based segmentation scheme to confirm the feasibility in clinical data sets with various bone diseases, such as bone metastases and scoliosis. As an application of this algorithm, virtual straightening of the thoracolumbar spine is also performed. Results on a database of 16 patients indicate the applicability of our method to spines affected by scoliosis and multiple bone metastases.

journal_name

J Comput Assist Tomogr

authors

Hanaoka S,Nomura Y,Nemoto M,Masutani Y,Maeda E,Yoshikawa T,Hayashi N,Yoshioka N,Ohtomo K

doi

10.1097/RCT.0b013e3181b12242

subject

Has Abstract

pub_date

2010-01-01 00:00:00

pages

156-62

issue

1

eissn

0363-8715

issn

1532-3145

pii

00004728-201001000-00028

journal_volume

34

pub_type

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