naa a22 4500 510807240 CHVBK 20180411083424.0 cr unu---uuuuu 180411e20131101xx s 000 0 eng 10.1007/s11548-013-0902-y doi (NATIONALLICENCE)springer-10.1007/s11548-013-0902-y Fast and robust extraction of surrogate respiratory signal from intra-operative liver ultrasound images [Elektronische Daten] [Jiaze Wu, Cheng Li, Su Huang, Feng Liu, Bien Tan, London Ooi, Haoyong Yu, Jimin Liu] Purpose: In model-based respiratory motion estimation for the liver or other abdominal organs, the surrogate respiratory signal is usually obtained by using special tracking devices from skin or diaphragm, and subsequently applied to parameterize a 4D motion model for prediction or compensation. However, due to the intrinsic limits and economical costs of these tracking devices, the identification of the respiratory signal directly from intra-operative ultrasound images is a more attractive alternative. Methods: We propose a fast and robust method to extract the respiratory motion of the liver from an intra-operative 2D ultrasound image sequence. Our method employs a preprocess to remove speckle-like noises in the ultrasound images and utilizes the normalized cross-correlation to measure the image similarity fast. More importantly, we present a novel adaptive search strategy, which makes full use of the inter-frame dependency of the image sequence. This search strategy narrows the search range of the optimal matching, thus greatly reduces the search time, and makes the matching process more robust and accurate. Results: The experimental results on four volunteers demonstrate that our method is able to extract the respiratory signal from an image sequence of 256 image frames in 5 s. The quantitative evaluation using the correlation coefficient reveals that the respiratory motion, extracted near the liver boundaries and vessels, is highly consistent with the reference motion tracked by an EM device. Conclusions: Our method can use 2D ultrasound to track natural landmarks from the liver as surrogate respiratory signal and hence provide a feasible solution to replace special tracking devices. CARS, 2013 Respiratory motion nationallicence Ultrasound liver images nationallicence Similarity metric nationallicence Adaptive searching nationallicence Wu Jiaze Singapore Bioimaging Consortium, Agency for Science, Technology and Research, #08-01, Matrix, 30 Biopolis Street, 138671, Singapore, Singapore aut Li Cheng Department of Bioengineering, National University of Singapore, Singapore, Singapore aut Huang Su Singapore Bioimaging Consortium, Agency for Science, Technology and Research, #08-01, Matrix, 30 Biopolis Street, 138671, Singapore, Singapore aut Liu Feng Singapore Bioimaging Consortium, Agency for Science, Technology and Research, #08-01, Matrix, 30 Biopolis Street, 138671, Singapore, Singapore aut Tan Bien Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore aut Ooi London Department of Surgery, Singapore General Hospital, Singapore, Singapore aut Yu Haoyong Department of Bioengineering, National University of Singapore, Singapore, Singapore aut Liu Jimin Singapore Bioimaging Consortium, Agency for Science, Technology and Research, #08-01, Matrix, 30 Biopolis Street, 138671, Singapore, Singapore aut International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/6(2013-11-01), 1027-1035 1861-6410 8:6<1027 2013 8 11548 https://doi.org/10.1007/s11548-013-0902-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-013-0902-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wu Jiaze Singapore Bioimaging Consortium, Agency for Science, Technology and Research, #08-01, Matrix, 30 Biopolis Street, 138671, Singapore, Singapore aut NATIONALLICENCE 700 1- Li Cheng Department of Bioengineering, National University of Singapore, Singapore, Singapore aut NATIONALLICENCE 700 1- Huang Su Singapore Bioimaging Consortium, Agency for Science, Technology and Research, #08-01, Matrix, 30 Biopolis Street, 138671, Singapore, Singapore aut NATIONALLICENCE 700 1- Liu Feng Singapore Bioimaging Consortium, Agency for Science, Technology and Research, #08-01, Matrix, 30 Biopolis Street, 138671, Singapore, Singapore aut NATIONALLICENCE 700 1- Tan Bien Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore aut NATIONALLICENCE 700 1- Ooi London Department of Surgery, Singapore General Hospital, Singapore, Singapore aut NATIONALLICENCE 700 1- Yu Haoyong Department of Bioengineering, National University of Singapore, Singapore, Singapore aut NATIONALLICENCE 700 1- Liu Jimin Singapore Bioimaging Consortium, Agency for Science, Technology and Research, #08-01, Matrix, 30 Biopolis Street, 138671, Singapore, Singapore aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/6(2013-11-01), 1027-1035 1861-6410 8:6<1027 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer