• 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