DocumentCode :
129634
Title :
Estimation of respiratory breathing signal from 2D US sequences and 4DCT of the liver
Author :
Spinczyk, Dominik ; Blanc, Regis ; Rit, Simon ; Sarrut, David ; Melodelima, David
Author_Institution :
INSA-Lyon, Univ. de Lyon, Lyon, France
fYear :
2014
fDate :
3-6 Sept. 2014
Firstpage :
2339
Lastpage :
2342
Abstract :
One challenge of High Intensity Focused Ultrasound (HIFU) for treating primary liver tumors is the management of the breathing motion during treatment. An extracorporeal HIFU transducer with an integrated ultrasound (US) imaging probe has been specifically designed for treating the liver. The imaging probe produces 2D images and the tumor itself may not always be visible in US images. A pre-operative 4D-Computed Tomography (CT) image is acquired to infer the tumor location. To retrieve spatio-temporal correspondence between the 4DCT and 2D+t US sequences to guide extracorporeal HIFU treatments temporal Principal Component Analysis and Hilbert transform was applied. The correspondence was visually verified by radiologist.
Keywords :
Hilbert transforms; bioacoustics; biomedical ultrasonics; computerised tomography; liver; principal component analysis; ultrasonic imaging; ultrasonic transducers; 2D ultrasound sequences; 4D-computed tomography image; 4DCT; Hilbert transform; extracorporeal HIFU transducer; high intensity focused ultrasound; integrated ultrasound imaging probe; liver; liver tumors; radiologist; respiratory breathing signal; spatio-temporal correspondence; temporal principal component analysis; Acoustics; Computed tomography; Liver; Principal component analysis; Probes; Tumors; Ultrasonic imaging; High Intensity Focused Ultrasound; Image-guided therapy; Multimodal image fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium (IUS), 2014 IEEE International
Conference_Location :
Chicago, IL
Type :
conf
DOI :
10.1109/ULTSYM.2014.0583
Filename :
6932091
Link To Document :
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