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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.06.2015 | Original Article

Bone enhancement in ultrasound using local spectrum variations for guiding percutaneous scaphoid fracture fixation procedures

verfasst von: Emran Mohammad Abu Anas, Alexander Seitel, Abtin Rasoulian, Paul St. John, David Pichora, Kathryn Darras, David Wilson, Victoria A. Lessoway, Ilker Hacihaliloglu, Parvin Mousavi, Robert Rohling, Purang Abolmaesumi

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 6/2015

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Abstract

Purpose

The scaphoid bone is the most frequently fractured bone in the wrist. When fracture fixation is indicated, a screw is inserted into the bone either in an open surgical procedure or percutaneously under fluoroscopic guidance. Due to the complex geometry of the wrist, fracture fixation is a challenging task. Fluoroscopic guidance exposes both the patient and the physician to ionizing radiation. Ultrasound-based guidance has been suggested as a real-time, radiation-free alternative. The main challenge of using ultrasound is the difficulty in interpreting the images due to the low contrast and noisy nature of the data.

Methods

We propose a bone enhancement method that exploits local spectrum features of the ultrasound image. These features are utilized to design a set of quadrature band-pass filters and subsequently estimate the local phase symmetry, where high symmetry is expected at the bone locations. We incorporate the shadow information below the bone surfaces to further enhance the bone responses. The extracted bone surfaces are then used to register a statistical wrist model to ultrasound volumes, allowing the localization and interpretation of the scaphoid bone in the volumes.

Results

Feasibility experiments were performed using phantom and in vivo data. For phantoms, we obtain a surface distance error 1.08 mm and an angular deviation from the main axis of the scaphoid bone smaller than \(5^{\circ }\), which are better compared to previously presented approaches.

Conclusion

The results are promising for further development of a surgical guidance system to enable accurate anatomy localization for guiding percutaneous scaphoid fracture fixations.

Vorheriger Artikel Detection and visualization of dural pulsation for spine needle interventions

Nächster Artikel Automatic bone detection and soft tissue aware ultrasound–CT registration for computer-aided orthopedic surgery

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Amin DV, Kanade T, Digioia AM, Jaramaz B (2003) Ultrasound registration of the bone surface for surgical navigation. Comput Aided Surg 8(1):1–16CrossRefPubMed

Beek M, Abolmaesumi P, Luenam S, Ellis RE, Sellens RW, Pichora DR (2008) Validation of a new surgical procedure for percutaneous scaphoid fixation using intra-operative ultrasound. Med Image Anal 12(2):152–162CrossRefPubMed

Clarke C, Moore J, Wedlake C, Lee D, Ganapathy S, Salbalbal M, Wilson T, Peters T, Bainbridge D (2010) Virtual reality imaging with real-time ultrasound guidance for facet joint injection: a proof of concept. Anesth Analg 110(5):1461–1463CrossRefPubMed

Foroughi P, Boctor E, Swartz M (2007) 2-D ultrasound bone segmentation using dynamic programming. In: IEEE ultrasonics symposium, pp 2523–2526

Gilles J (2013) Empirical wavelet transform. IEEE Trans Signal Process 61(16):3999–4010CrossRef

Gilles J, Tran G, Osher S (2014) 2D empirical transforms. wavelets, ridgelets, and curvelets revisited. SIAM J Imaging Sci 7(1):157–186CrossRef

Grau V, Noble JA (2005) Adaptive multiscale ultrasound compounding using phase information. In: Medical image computing and computer-assisted intervention-MICCAI 2005. Springer, Berlin, pp 589–596

Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN (2009) Bone surface localization in ultrasound using image phase-based features. Ultrasound Med Biol 35(9):1475–1487CrossRefPubMed

Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN (2011) Automatic adaptive parameterization in local phase feature-based bone segmentation in ultrasound. Ultrasound Med Biol 37(10):1689–1703PubMed

10.

Hacihaliloglu I, Abugharbieh R, Hodgson AJ, Rohling RN, Guy P (2012) Automatic bone localization and fracture detection from volumetric ultrasound images using 3-D local phase features. Ultrasound Med Biol 38(1):128–144CrossRefPubMed

11.

Hacihaliloglu I, Rasoulian A, Rohling RN, Abolmaesumi P (2014) Local phase tensor features for 3D ultrasound to statistical shape+pose spine model registration. IEEE Trans Med Imaging 33(11):2167–2179CrossRefPubMed

12.

Jain AK, Taylor RH (2004) Understanding bone responses in B-mode ultrasound images and automatic bone surface extraction using a Bayesian probabilistic framework. In: Medical imaging, international society for optics and photonics, pp 131–142

13.

Khallaghi S, Mousavi P, Gong RH, Gill S, Boisvert J, Fichtinger G, Pichora D, Borschneck D, Abolmaesumi P (2010) Registration of a statistical shape model of the lumbar spine to 3d ultrasound images. In: Medical image computing and computer-assisted intervention-MICCAI 2010. Springer, Berlin, pp 68–75

14.

Kovesi P (1997) Symmetry and asymmetry from local phase. In: Tenth Australian joint conference on artificial intelligence, vol 190. Citeseer

15.

Kowal J, Amstutz C, Langlotz F, Talib H, Ballester MG (2007) Automated bone contour detection in ultrasound b-mode images for minimally invasive registration in computer-assisted surgery—an in vitro evaluation. Int J Med Robot Comput Assist Surg 3(4):341–348CrossRef

16.

Madsen EL, Hobson MA, Shi H, Varghese T, Frank GR (2005) Tissue-mimicking agar/gelatin materials for use in heterogeneous elastography phantoms. Phys Med Biol 50(23):5597CrossRefPubMedCentralPubMed

17.

Maleike D, Nolden M, Meinzer HP, Wolf I (2009) Interactive segmentation framework of the medical imaging interaction toolkit. Comput Methods Program Biomed 96(1):72–83CrossRef

18.

Meldon SW, Hargarten SW (1995) Ligamentous injuries of the wrist. J Emerg Med 13(2):217–225CrossRefPubMed

19.

Menapace KA, Larabee L, Arnoczky SP, Neginhal VS, Dass AG, Ross LM (2001) Anatomic placement of the Herbert-Whipple screw in scaphoid fractures: a cadaver study. J Hand Surg 26(5):883–892CrossRef

20.

Merrell G, Slade J (2008) Technique for percutaneous fixation of displaced and nondisplaced acute scaphoid fractures and select nonunions. J Hand Surg 33(6):966–973CrossRef

21.

Mohammad Abu Anas E, Rasoulian A, John PS, Pichora DR, Rohling R, Abolmaesumi P (2014) A statistical shape+pose model for segmentation of wrist CT images. In: SPIE medical imaging, vol 9034, pp T1–T8

22.

Mink van der Molen A, Groothoff J, Visser G, Robinson P, Eisma W (1999) Time off work due to scaphoid fractures and other carpal injuries in The Netherlands in the period 1990 to 1993. J Hand Surg Br Eur Vol 24(2):193–198CrossRef

23.

Nagpal S, Abolmaesumi P, Rasoulian A, Ungi T, Hacihaliloglu I, Osborn J, Borschneck DP, Lessoway VA, Rohling RN, Mousavi P (2014) CT to US registration of the lumbar spine: a clinical feasibility study. In: Information processing in computer-assisted interventions. Springer, Berlin, pp 108–117

24.

Pao VS, Chang J (2003) Scaphoid nonunion: diagnosis and treatment. Plast Reconstr Surg 112(6):1666–1677CrossRefPubMed

25.

Penney GP, Barratt DC, Chan CS, Slomczykowski M, Carter TJ, Edwards PJ, Hawkes DJ (2006) Cadaver validation of intensity-based ultrasound to CT registration. Med Image Anal 10(3):385–395CrossRefPubMed

26.

Rahmatullah B, Papageorghiou AT, Noble JA (2012) Integration of local and global features for anatomical object detection in ultrasound. In: Medical image computing and computer-assisted intervention-MICCAI 2012. Springer, Berlin, pp 402–409

27.

Rajpoot K, Grau V, Noble JA (2009) Local-phase based 3D boundary detection using monogenic signal and its application to real-time 3-D echocardiography images. In: IEEE international symposium on biomedical imaging: from nano to macro, 2009 (ISBI’09). IEEE, pp 783–786

28.

Rasoulian A, Rohling R, Abolmaesumi P (2013) Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape+pose model. IEEE Trans Med Imaging 32(10):1890–1900CrossRefPubMed

29.

Smith EJ, Al-Sanawi HA, Gammon B, John PJS, Pichora DR, Ellis RE (2012) Volume slicing of cone-beam computed tomography images for navigation of percutaneous scaphoid fixation. Int J Comput Assist Radiol Surg 7(3):433–444CrossRefPubMed

30.

Tran D, Rohling RN (2010) Automatic detection of lumbar anatomy in ultrasound images of human subjects. IEEE Trans Biomed Eng 57(9):2248–2256CrossRefPubMed

31.

Yan CX, Goulet B, Pelletier J, Chen SJS, Tampieri D, Collins DL (2011) Towards accurate, robust and practical ultrasound-CT registration of vertebrae for image-guided spine surgery. Int J Comput Assist Radiol Surg 6(4):523–537CrossRefPubMed

Titel: Bone enhancement in ultrasound using local spectrum variations for guiding percutaneous scaphoid fracture fixation procedures
verfasst von: Emran Mohammad Abu Anas
Alexander Seitel
Abtin Rasoulian
Paul St. John
David Pichora
Kathryn Darras
David Wilson
Victoria A. Lessoway
Ilker Hacihaliloglu
Parvin Mousavi
Robert Rohling
Purang Abolmaesumi
Publikationsdatum: 01.06.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 6/2015
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-015-1181-6

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Abstract

Purpose

Methods

Results

Conclusion

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