nach oben

International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.12.2015 | Original Article

Five-dimensional ultrasound system for soft tissue visualization

verfasst von: Nishikant P. Deshmukh, Jesus J. Caban, Russell H. Taylor, Gregory D. Hager, Emad M. Boctor

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 12/2015

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Purpose

A five-dimensional ultrasound (US) system is proposed as a real-time pipeline involving fusion of 3D B-mode data with the 3D ultrasound elastography (USE) data as well as visualization of these fused data and a real-time update capability over time for each consecutive scan. 3D B-mode data assist in visualizing the anatomy of the target organ, and 3D elastography data adds strain information.

Methods

We investigate the feasibility of such a system and show that an end-to-end real-time system, from acquisition to visualization, can be developed. We present a system that consists of (a) a real-time 3D elastography algorithm based on a normalized cross-correlation (NCC) computation on a GPU; (b) real-time 3D B-mode acquisition and network transfer; (c) scan conversion of 3D elastography and B-mode volumes (if acquired by 4D wobbler probe); and (d) visualization software that fuses, visualizes, and updates 3D B-mode and 3D elastography data in real time.

Results

We achieved a speed improvement of 4.45-fold for the threaded version of the NCC-based 3D USE versus the non-threaded version. The maximum speed was 79 volumes/s for 3D scan conversion. In a phantom, we validated the dimensions of a 2.2-cm-diameter sphere scan-converted to B-mode volume. Also, we validated the 5D US system visualization transfer function and detected 1- and 2-cm spherical objects (phantom lesion). Finally, we applied the system to a phantom consisting of three lesions to delineate the lesions from the surrounding background regions of the phantom.

Conclusion

A 5D US system is achievable with real-time performance. We can distinguish between hard and soft areas in a phantom using the transfer functions.

Vorheriger Artikel Robust surface tracking combining features, intensity and illumination compensation

Nächster Artikel An endoscopic structured light system using multispectral detection

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Nur mit Berechtigung zugänglich

Siegel R, Naishadham D, Jemal A (2013) Cancer statistics, 2013. CA Cancer J Clin 63(1):11–30CrossRefPubMed

Ophir J, Céspedes I, Ponnekanti H, Yazdi Y, Li X (1991) Elastography: a quantitative method for imaging the elasticity of biological tissues. Ultrason Imaging 13(2):111–134CrossRefPubMed

Boctor EM, Deshmukh N, Ayad MS, Clarke C, Dickie K, Choti MA, Burdette EC (2009) Three-dimensional heat-induced echo-strain imaging for monitoring high-intensity acoustic ablation. In: McAleavey SA, D’hooge J (eds) Medical imaging 2009: ultrasonic imaging and signal processing, Lake Buena Vista, FL, p 72650R. doi:10.1117/12.811287

Falou O, Sadeghi-Naini A, Prematilake S, Sofroni E, Papanicolau N, Iradji S, Jahedmotlagh Z, Lemon-Wong S, Pignol J-P, Rakovitch E, Zubovits J, Spayne J, Dent R, Trudeau M, Boileau JF, Wright FC, Yaffe MJ, Czarnota GJ (2013) Evaluation of neoadjuvant chemotherapy response in women with locally advanced breast cancer using ultrasound elastography. Transl Oncol 6(1):17–24PubMedCentralCrossRefPubMed

Billings S, Deshmukh N, Kang HJ, Taylor R, Boctor EM (2012) System for robot-assisted real-time laparoscopic ultrasound elastography. In: Holmes III DR, Wong HW (eds) Medical imaging 2012: image-guidedprocedures, robotic interventions, and modeling, San Diego, California, USA, p 83161W. doi:10.1117/12.911086

Sen HT, Deshmukh N, Goldman R, Kazanzides P, Taylor RH, Boctor E, Simaan N (2012) Enabling technologies for natural orifice transluminal endoscopic surgery (NOTES) using robotically guided elasticity imaging. In: Holmes III DR, Wong KH (eds) Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, USA, p 83161Y. doi:10.1117/12.912383

Weismann C, Mayr C, Egger H, Auer A (2011) Breast sonography—2D, 3D, 4D ultrasound or elastography? Breast Care (Basel) 6(2):98–103CrossRef

Boctor EM, Choti M, Fictinger G, Taylor R, Prince JL (2011) Robotic 5-dimensional ultrasound. US Patent 7901357 B2

Torres F, Fanti Z, Arambula Cosío F (2013) 3D freehand ultrasound for medical assistance in diagnosis and treatment of breast cancer: preliminary results. In: IX international seminar on medical information processing and analysis, p 89220K

10.

Sayed A, Layne G, Abraham J, Mukdadi O (2013) Nonlinear characterization of breast cancer using multi-compression 3D ultrasound elastography in vivo. Ultrasonics 53(5):979–991PubMedCentralCrossRefPubMed

11.

Jedrzejewski G, Ben-Skowronek I, Wozniak MM, Brodzisz A, Budzynska E, Wieczorek AP (2013) Testicular adrenal rest tumors in boys with congenital adrenal hyperplasia: 3D US and elastography—do we get more information for diagnosis and monitoring? J Pediatr Urol 9(6):1032–1037CrossRefPubMed

12.

Ying M, Zheng Y-P, Kot BC-W, Cheung JC-W, Cheng SC-H, Kwong DL-W (2013) Three-dimensional elastography for cervical lymph node volume measurements: a study to investigate feasibility, accuracy and reliability. Ultrasound Med Biol 39(3):396–406CrossRefPubMed

13.

Rivaz H, Fleming I, Assumpcao L, Fichtinger G, Hamper U, Choti M, Hager G, Boctor E (2008) Ablation monitoring with elastography: 2D in vivo and 3D ex vivo studies. In: Metaxas D, Axel L, Fichtinger G, Székely G (eds) Medical image computing and computer-assisted intervention (MICCAI 2008), vol 5242. Springer, Berlin, pp 458–466

14.

Foroughi P, Burgner J, Choti MA, Webster III RJ, Hager GD, Boctor EM (2012) Towards intra-operative monitoring of ablation using tracked 3D ultrasound elastography and internal palpation. In: Bosch JG, Doyley MM (eds) Medical imaging 2012: ultrasonic imaging, tomography, and therapy, San Diego, California, USA, p 83200T. doi:10.1117/12.913988

15.

Kanenishi K, Hanaoka U, Noguchi J, Marumo G, Hata T (2013) 4D ultrasound evaluation of fetal facial expressions during the latter stages of the second trimester. Int J Gynecol Obstet 121(3):257–260CrossRef

16.

Wittek A, Karatolios K, Bihari P, Schmitz-Rixen T, Moosdorf R, Vogt S, Blase C (2013) In vivo determination of elastic properties of the human aorta based on 4D ultrasound data. J Mech Behav Biomed Mater 27:167–183CrossRefPubMed

17.

Hilde G, Staer-Jensen J, Siafarikas F, Gjestland K, Ellström Engh M, Bø K (2013) How well can pelvic floor muscles with major defects contract? A cross-sectional comparative study 6 weeks after delivery using transperineal 3D/4D ultrasound and manometer. BJOG 120(11):1423–1429CrossRefPubMed

18.

Braekken IH, Majida M, Engh ME, Bø K (2009) Test–retest reliability of pelvic floor muscle contraction measured by 4D ultrasound. Neurourol Urodyn 28(1):68–73CrossRefPubMed

19.

Yagel S, Cohen SM, Shapiro I, Valsky DV (2007) 3D and 4D ultrasound in fetal cardiac scanning: a new look at the fetal heart. Ultrasound Obstet Gynecol 29(1):81–95CrossRefPubMed

20.

Vijayan S, Klein S, Hofstad EF, Lindseth F, Ystgaard B, Lango T (2013) Validation of a non-rigid registration method for motion compensation in 4D ultrasound of the liver. In: IEEE 10th international symposium on biomedical imaging, pp 792–795

21.

Gritzmann N, Weismann CF, Datz L (2007) Diagnostic algorithm: how to make use of new 2D, 3D and 4D ultrasound technologies in breast imaging. Eur J Radiol 64(2):250–257CrossRef

22.

Achiron R, Gindes L, Zalel Y, Lipitz S, Weisz B (2008) Three- and four-dimensional ultrasound: new methods for evaluating fetal thoracic anomalies. Ultrasound Obstet Gynecol 32(1):36–43CrossRefPubMed

23.

Mahdavi SS, Moradi M, Morris WJ, Goldenberg SL, Salcudean SE (2012) Fusion of ultrasound B-mode and vibro-elastography images for automatic 3D segmentation of the prostate. IEEE Trans Med Imaging 31(11):2073–2082CrossRefPubMed

24.

Moradi M, Abolmaesumi P, Mousavi P (2010) Tissue typing using ultrasound RF time series: experiments with animal tissue samples. Med Phys 37(8):4401CrossRefPubMed

25.

Uniyal N, Eskandari H, Abolmaesumi P, Sojoudi S, Gordon P, Warren L, Rohling RN, Salcudean SE, Moradi M (2015) Ultrasound RF time series for classification of breast lesions. IEEE Trans Med Imaging 34(2):652–661CrossRefPubMed

26.

Itoh A, Ueno E, Tohno E, Kamma H, Takahashi H, Shiina T, Yamakawa M, Matsumura T (2006) Breast disease: clinical application of US elastography for diagnosis. Radiology 239(2):341–350CrossRefPubMed

27.

Burnside ES, Hall TJ, Sommer AM, Hesley GK, Sisney GA, Svensson WE, Fine JP, Jiang J, Hangiandreou NJ (2007) Differentiating benign from malignant solid breast masses with US strain imaging. Radiology 245(2):401–410CrossRefPubMed

28.

Kang H-J, Deshmukh NP, Stolka P, Burdette EC, Boctor EM (2012) Ultrasound imaging software framework for real-time monitoring of acoustic ablation therapy. In: Bosch JG, Doyley MM (eds) Medical imaging 2012: ultrasonic imaging, tomography, and therapy, San Diego, California, USA, p 83201E.doi:10.1117/12.912362

29.

Stolka P, Kang H, Boctor E (2010) The MUSiiC Toolkit: modular real-time toolkit for advanced ultrasound research. http://hdl.handle.net/10380/3172

30.

Shin KG, Ramanathan P (1994) Real-time computing: a new discipline of computer science and engineering. Proc IEEE 82(1):6–24CrossRef

31.

Heinecke A, Klemm M, Bungartz H-J (2012) From GPGPU to many-core: Nvidia Fermi and intel many integrated core architecture. Comput Sci Eng 14(2):78–83CrossRef

32.

Deshmukh NP, Kang HJ, Billings SD, Taylor RH, Hager GD, et al (2014) Elastography using multi-stream GPU: an application to online tracked ultrasound elastography, in-vivo and the da Vinci surgicalsystem. PLoS One 9(12):e115881. doi: 10.1371/journal.pone.0115881

33.

Pospisil E, Rohling R, Azar R, Salcudean S (2010) 4-D \(\times \) 3-D ultrasound: real-time scan conversion, filtering, and display of displacement vectors with a motorized curvilinear transducer. IEEE Trans Ultrason Ferroelectr Freq Control 57(10):2271–2283CrossRefPubMed

34.

Boctor EM, Matinfar M, Ahmad O, Rivaz H, Choti M, Taylor RH (2009) Elasticity-based three dimensional ultrasound real-time volume rendering. In: Miga MI, Wong KH (eds) Medical imaging 2009: visualization, image-guided procedures, and modeling, Lake Buena Vista, FL, , p 72612V. doi:10.1117/12.815166

35.

Mann D, Caban JJ, Stolka PJ, Boctor EM, Yoo TS (2011) Multi-dimensional transfer functions for effective visualization of streaming ultrasound and elasticity images. In: Wong KH, Holmes III DR (eds) Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, Lake Buena Vista, FL, p 796439. doi:10.1117/12.878935

36.

Weis JA, Yankeelov TE, Munoz SA, Sastry RA, Barnes SL, Arlinghaus LR, Li X, Miga MI (2013) A consistent pre-clinical/clinical elastography approach for assessing tumor mechanical properties in therapeutic systems. In: Weaver JB, Molthen RC (eds) Medical imaging 2013: biomedical applications in molecular, structural, and functional imaging, Lake Buena Vista (Orlando Area), FL, USA, p 86721F. doi:10.1117/12.2007425

37.

Heid V, Evers H, Henn C, Glombitza G, Meinzer H-P (2000) 5D interactive real time Doppler ultrasound visualization of the heart. Med Imaging 2000:494–500

38.

Takahashi H, Hasegawa H, Kanai H (2013) Improvement of automated identification of the heart wall in echocardiography by suppressing clutter component. Jpn J Appl Phys 52(7S):07HF17CrossRef

39.

Deshmukh N, Rivaz H, Boctor E (2009) GPU-based elasticity imaging algorithms. In: Proceedings of the international conference in medical imaging computing and computer assisted intervention

Titel: Five-dimensional ultrasound system for soft tissue visualization
verfasst von: Nishikant P. Deshmukh
Jesus J. Caban
Russell H. Taylor
Gregory D. Hager
Emad M. Boctor
Publikationsdatum: 01.12.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 12/2015
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-015-1277-z

Springer Professional

Abstract

Purpose

Methods

Results

Conclusion

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 12/2015

Locally rigid, vessel-based registration for laparoscopic liver surgery

Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI

Development of customized positioning guides using computer-aided design and manufacturing technology for orthognathic surgery

Intraoperative CT as a registration benchmark for intervertebral motion compensation in image-guided open spinal surgery

Multicenter study on the use of patient-specific CAD/CAM reconstruction plates for mandibular reconstruction

Robot guidance of an ultrasound probe toward a 3D region of interest detected through X-ray mammography

Premium Partner