NDLI: Real-time automatic spinal level identification with ultrasound image processing

Content Provider	IEEE Xplore Digital Library
Author	Shuang Yu Kok Kiong Tan Ban Leong Sng Shengjin Li Sia, A.T.H.
Copyright Year	2015
Description	Author affiliation: Duke-NUS Grad. Med. Sch., Nat. Univ. of Singapore, Singapore, Singapore (Shengjin Li) \|\| NUS Grad. Sch. for Integrative Sci. & Eng., Nat. Univ. of Singapore, Singapore, Singapore (Shuang Yu; Kok Kiong Tan)
Abstract	In this paper, we propose an ultrasound image processing procedure for fully automatic lumbar spine level identification. The image processing procedure starts with automatic sacrum identification, with feature selection and support vector machine (SVM) classification. After sacrum is detected, a panorama image stitching procedure is initiated to obtain the overall spinous processes structure. Throughout the image stitching and ultrasound probe movement, an image quality evaluation standard is utilized to select the suitable frames to be stitched onto the panorama image, so as to eliminate the accidental bad-quality frames in case the probe goes out-of-line during the scanning movement. In the meantime, the spinous levels are identified and counted on the panorama image, which are then reflected on the original ultrasound image in real time, so as to inform anesthetists where is the level L3-L4 and when to stop scanning. The processing result with off-line collected lumbar ultrasound videos shows a high accuracy on sacrum identification and spinous level identification.
Starting Page	243
Ending Page	246
File Size	705926
Page Count	4
File Format	PDF
ISBN	9781479923748
DOI	10.1109/ISBI.2015.7163859
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonic imaging Anesthesia Support vector machines Videos Probes Training Feature extraction Real time Epidural Anesthesia Ultrasound Image Processing Support Vector Machine Feature Extraction Image Stitching
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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