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Bone segmentation applying rigid bone position and triple shadow check method based on RF data

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Noninvasive 3D reconstruction of a bone requires very accurate 2D navigated scans of bone. The use of brightness-mode ultrasound seems to be promising, if some 2D scans of bone are obtained in a fully automatic manner. This paper presents a rapid and fully automatic method for segmenting bone in a standard 2D ultrasound image (B-mode image). The algorithm focuses on segmenting bone in the B-mode image using RF data of the image. The article introduces the signal-processing scheme designed based on RF data to automatically segment bone in the B-mode image. The segmentation accuracy was assessed by performing various tests for this algorithm for various locations of the limbs of the human body. The algorithm was tested for 120 images taken at different locations of limbs of the human body. The sensitivity of these tests was calculated to be 0.99 and specificity was found to be 1. The suggested segmentation approach provides a reliable means of detecting bone in B-mode image.
Rocznik
Strony
3--11
Opis fizyczny
Bibliogr. 13 poz., rys.
Twórcy
autor
autor
  • Hochschule Furtwangen University, Department of Mechanical and Process Engineering, Germany
Bibliografia
  • [1] AMIN D.V., KANADE T., DiGIOIA A.M. 3rd, JARAMAZ B., Ultrasound based registration of the pelvic bone surface for surgical navigation, First Annual Meeting of International Society for Computer Assisted Orthopaedic Surgery (CAOSInternational), Davos, Switzerland, 2001, p. 36.
  • [2] THOMAS J.G., PETERS R.A. III, JEANTRY P., Automatic Segmentation of ultrasound images using morphological operators, IEEE Trans. Med. Imag., 1991, 10(2), 180–186.
  • [3] DAANEN V., TONETTI J., TROCCAZ J., A fully automated method for the delineation of osseous interface in ultrasound images, [in:] Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer-Verlag, Berlin, 2004, 549–557.
  • [4] JAIN A.K., TAYLOR R.H., Understanding bone responses in B-mode ultrasound images and automatic bone surface extraction using a Bayesian probabilistic framework, [in:] Medical Imaging 2004: Ultrasonic Imaging and Signal Processing, Walker W.F., Emelianov S.Y. (eds.), Proc. SPIE 2004, 5373, 131–142.
  • [5] KEPPLER P., STRECKER W., CLAES L., Die sonographische Bestimmung der Beingeometrie, Orthopäde, 1999, Vol. 28, 1015–1022.
  • [6] KOWAL J., AMSTUTZ C.A., NOLTE L.P., On B-mode ultrasound based registration for computer assisted orthopaedic surgery, First Annual Meeting of International Society for Computer Assisted Orthopaedic Surgery (CAOS-International), Davos, Switzerland, 2001, p. 35.
  • [7] KRUEGER M., PESAVENTO A., ERMERT H., HILTAWSKY K.M., HEUSER L., ROSENTHAL H., JENSEN A., Ultrasonic strain imaging of the female breast using phase root seeking and threedimensional “optical flow”, IEEE Proceedings Ultrasonics Symposium, 1998, 2, 1757–1760.
  • [8] LORENZ A., SOMMERFELD H.J., GARCIA-SCHURMANN M., PHILIPPOU S., SENGE T., ERMERT H., A new system for the acquisition of ultrasonic multicompression strain images of the human prostate in vivo, IEEE Trans. Ultrason. Ferroelect. Frequency Contr., 1999, Vol. 46, No. 5, 1147–1154.
  • [9] MURATORE D.M., DAWANT B.M., GALLOWAY R.L. Jr, Vertebral surface extraction from ultrasound images for technology-guided therapy, Proceedings of Medical Imaging. Bellingham, WA: SPIE, 1999, 1499–1510.
  • [10] OPHIR J., CÉSPEDES I., PONNEKANTI H., YAZDI Y., LI X., Elastography: A quantitative method for imaging the elasticity of biological tissues, Ultrasonic Imaging, 1991, 13, 111–134.
  • [11] OVERHOFF H.M., LAZOVIC D., von JAN U., Vizualization of newborn’s hip joint using 3-D ultrasound and automatic image processing, Proc. International Symposium on Medical Imaging, 1999.
  • [12] PESAVENTO A., PERRY C., KREUGER M., ERMERT H., A timeefficient and accurate strain estimation concept for ultrasonic elastography using iterative phase zero estimation, IEEE Trans. Ultrason. Ferroelect. Frequency Contr., 1999, Vol. 46, No. 5, 1057–1067.
  • [13] PESAVENTO A., LORENZ A., SIEBERS S., ERMERT H., New real-time strain imaging concepts using diagnostic ultrasound, Phys. Med. Biol., 2000, 45, 1423–1435.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPBB-0002-0011
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