Abstract：
:Most conventional spine interventions are performed under X-ray fluoroscopy guidance. In recent years, there has been a growing interest to develop nonionizing imaging alternatives to guide these procedures. Ultrasound guidance has emerged as a leading alternative. However, a challenging problem is automatic identification of the spinal anatomy in ultrasound data. In this paper, we propose a local phase-based bone feature enhancement technique that can robustly identify the spine surface in ultrasound images. The local phase information is obtained using a gradient energy tensor filter. This information is used to construct local phase tensors in ultrasound images, which highlight the spine surface. We show that our proposed approach results in a more distinct enhancement of the bone surfaces compared to recently proposed techniques based on monogenic scale-space filters and logarithmic Gabor filters. We also demonstrate that registration accuracy of a statistical shape+pose model of the spine to 3-D ultrasound images can be significantly improved, using the proposed method, compared to those obtained using monogenic scale-space filters and logarithmic Gabor filters.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Hacihaliloglu I,Rasoulian A,Rohling RN,Abolmaesumi Pdoi
10.1109/TMI.2014.2332571subject
Has Abstractpub_date
2014-11-01 00:00:00pages
2167-79issue
11eissn
0278-0062issn
1558-254Xjournal_volume
33pub_type
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