REFERENCES

1. Barr L, Hatch N, Roque PJ, Wu TS. Basic ultrasound-guided procedures. Crit Care Clin 2014;30:275-304.

2. Tirado A, Nagdev A, Henningsen C, Breckon P, Chiles K. Ultrasound-guided procedures in the emergency department-needle guidance and localization. Emerg Med Clin North Am 2013;31:87-115.

3. Campbell AS. Ultrasound-Guided Procedures. In: Kuzmiak CM, editor. Interventional breast procedures. Cham: Springer; 2019. pp. 21-33.

4. Huntoon MA. Imaging in Interventional Pain Management. In: Narouze SN, editor. Atlas of ultrasound-guided procedures in interventional pain management. New York: Springer; 2011. pp. 3-12.

5. Albrecht E, Chin KJ. Advances in regional anaesthesia and acute pain management: a narrative review. Anaesthesia 2020;75:e101-10.

6. Souza D, Lerman I, Halaszynski TM. Ultrasound technical aspects: how to improve needle visibility. In: Narouze SN, editor. Atlas of ultrasound-guided procedures in interventional pain management. New York: Springer; 2018. pp. 27-55.

7. Marhofer P, Chan VWS. Ultrasound-guided regional anesthesia: current concepts and future trends. Anesth Analg 2007;104:1265-9.

8. Chapman GA, Johnson D, Bodenham AR. Visualisation of needle position using ultrasonography. Anaesthesia 2006;61:148-58.

9. Scholten HJ, Pourtaherian A, Mihajlovic N, Korsten HHM, A Bouwman R. Improving needle tip identification during ultrasound-guided procedures in anaesthetic practice. Anaesthesia 2017;72:889-904.

10. Yang H, Shan C, Kolen AF, de With PHN. Medical instrument detection in ultrasound: a review. Artif Intell Rev 2023;56:4363-402.

11. Beigi P, Salcudean SE, Ng GC, Rohling R. Enhancement of needle visualization and localization in ultrasound. Int J Comput Assist Radiol Surg 2021;16:169-78.

12. Chin KJ, Perlas A, Chan VWS, Brull R. Needle visualization in ultrasound-guided regional anesthesia: challenges and solutions. Reg Anesth Pain Med 2008;33:532-44.

13. Peng C, Cai Q, Chen M, Jiang X. Recent Advances in tracking devices for biomedical ultrasound imaging applications. Micromachines 2022;13:1855.

14. Aldrich JE. Basic physics of ultrasound imaging. Crit Care Med 2007;35:S131-7.

15. Obstetric Anesthesia. Needling techniques. Available from: https://pie.med.utoronto.ca/OBAnesthesia/OBAnesthesia_content/OBA_needling_module.html. [Last accessed on 25 Jul 2024].

16. Cao L, Tan YT, Wei T, Li H. Comparison between the long-axis in-plane and short-axis out-of-plane approaches for ultrasound-guided arterial cannulation: a meta-analysis and systematic review. BMC Anesthesiol 2023;23:120.

17. Miller AG, Bardin AJ. Review of ultrasound-guided radial artery catheter placement. Respir Care 2016;61:383-8.

18. Chan V, Perlas A. Basics of ultrasound: pitfalls and limitations. In: Narouze SN, editor. Atlas of ultrasound-guided procedures in interventional pain management. New York: Springer; 2018. pp. 11-5.

19. Elsharkawy H, Babazade R, Kolli S, Kalagara H, Soliman ML. The Infiniti Plus ultrasound needle guidance system improves needle visualization during the placement of spinal anesthesia. Korean J Anesthesiol 2016;69:417-9.

20. Collins GB, Fanou EM, Young J, Bhogal P. A comparison of free-hand vs laser-guided long-axis ultrasound techniques in novice users. Br J Radiol 2013;86:20130026.

21. Maecken T, Heite L, Wolf B, Zahn PK, Litz RJ. Ultrasound-guided catheterisation of the subclavian vein: freehand vs needle-guided technique. Anaesthesia 2015;70:1242-9.

22. Antico M, Sasazawa F, Wu L, et al. Ultrasound guidance in minimally invasive robotic procedures. Med Image Anal 2019;54:149-67.

23. Hemmerling TM, Taddei R, Wehbe M, Cyr S, Zaouter C, Morse J. First robotic ultrasound-guided nerve blocks in humans using the magellan system. Anesth Analg 2013;116:491-4.

24. Kojcev R, Fuerst B, Zettinig O, et al. Dual-robot ultrasound-guided needle placement: closing the planning-imaging-action loop. Int J Comput Assist Radiol Surg 2016;11:1173-81.

25. Brattain LJ, Pierce TT, Gjesteby LA, et al. AI-enabled, ultrasound-guided handheld robotic device for femoral vascular access. Biosensors 2021;11:522.

26. Choquet O, Capdevila X. Case report: Three-dimensional high-resolution ultrasound-guided nerve blocks: a new panoramic vision of local anesthetic spread and perineural catheter tip location. Anesth Analg 2013;116:1176-81.

27. Beigi P, Malenfant P, Rasoulian A, Rohling R, Dube A, Gunka V. Three-dimensional ultrasound-guided real-time midline epidural needle placement with epiguide: a prospective feasibility study. Ultrasound Med Biol 2017;43:375-9.

28. Gebhard RE, Eubanks TN, Meeks R. Three-dimensional ultrasound imaging. Curr Opin Anesthesiol 2015;28:583-7.

29. Hopkins RE, Bradley M. In-vitro visualization of biopsy needles with ultrasound: a comparative study of standard and echogenic needles using an ultrasound phantom. Clin Radiol 2001;56:499-502.

30. van de Berg NJ, Sánchez-Margallo JA, van Dijke AP, Langø T, van den Dobbelsteen JJ. A methodical quantification of needle visibility and echogenicity in ultrasound images. Ultrasound Med Biol 2019;45:998-1009.

31. Brookes J, Sondekoppam R, Armstrong K, et al. Comparative evaluation of the visibility and block characteristics of a stimulating needle and catheter vs an echogenic needle and catheter for sciatic nerve block with a low-frequency ultrasound probe. Br J Anaesth 2015;115:912-9.

32. Hovgesen CH, Wilhjelm JE, Vilmann P, Kalaitzakis E. Echogenic surface enhancements for improving needle visualization in ultrasound: a PRISMA systematic review. J Ultrasound Med 2022;41:311-25.

33. Klein SM, Fronheiser MP, Reach J, Nielsen KC, Smith SW. Piezoelectric vibrating needle and catheter for enhancing ultrasound-guided peripheral nerve blocks. Anesth Analg 2007;105:1858-60.

34. Orlando N, Snir J, Barker K, et al. A power Doppler ultrasound method for improving intraoperative tip localization for visually obstructed needles in interstitial prostate brachytherapy. Med Phys 2023;50:2649-61.

35. Daoud MI, Shtaiyat A, Zayadeen AR, Alazrai R. Accurate needle localization using two-dimensional power doppler and b-mode ultrasound image analyses: a feasibility study. Sensors 2018;18:3475.

36. Harmat A, Rohling RN, Salcudean SE. Needle tip localization using stylet vibration [Journal Article]. Ultrasound Med Biol 2006;32:1339-48.

37. Stolka PJ, Foroughi P, Rendina M, Weiss CR, Hager GD, Boctor EM. Needle guidance using handheld stereo vision and projection for ultrasound-based interventions. Med Image Comput Comput Assist Interv 2014;17:684-91.

38. Najafi M, Abolmaesumi P, Rohling R. Single-camera closed-form real-time needle tracking for ultrasound-guided needle insertion. Ultrasound Med Biol 2015;41:2663-76.

39. Gallo C, Foroughi P, Meagher E, et al. Computer-assisted needle navigation for pediatric internal jugular central venous cannulation: a feasibility study. J Vasc Access 2020;21:931-7.

40. Xia W, Mari JM, West SJ, et al. In-plane ultrasonic needle tracking using a fiber-optic hydrophone. Med Phys 2015;42:5983-91.

41. Baker C, Xochicale M, Lin FY, et al. Intraoperative needle tip tracking with an integrated fibre-optic ultrasound sensor. Sensors 2022;22:9035.

42. Kåsine T, Romundstad L, Rosseland LA, et al. Needle tip tracking for ultrasound-guided peripheral nerve block procedures - an observer blinded, randomised, controlled, crossover study on a phantom model. Acta Anaesthesiol Scand 2019;63:1055-62.

43. Watanabe K, Tokumine J, Lefor AK, et al. Photoacoustic needle improves needle tip visibility during deep peripheral nerve block. Sci Rep 2021;11:8432.

44. Nakazawa H, Tokumine J, Lefor AK, et al. Use of a photoacoustic needle improves needle tip recognition in a video recording of simulated ultrasound-guided vascular access: a pilot study. J Vasc Access 2024;25:922-7.

45. Tielens LKP, Damen RBCC, Lerou JGC, Scheffer GJ, Bruhn J. Ultrasound-guided needle handling using a guidance positioning system in a phantom. Anaesthesia 2014;69:24-31.

46. Fevre MC, Vincent C, Picard J, et al. Reduced variability and execution time to reach a target with a needle GPS system: comparison between physicians, residents and nurse anaesthetists. Anaesth Crit Care Pain Med 2018;37:55-60.

47. Niazi AU, Chin KJ, Jin R, Chan VW. Real-time ultrasound-guided spinal anesthesia using the SonixGPS ultrasound guidance system: a feasibility study. Acta Anaesthesiol Scand 2014;58:875-81.

48. Hakime A, Deschamps F, De Carvalho EG, Barah A, Auperin A, De Baere T. Electromagnetic-tracked biopsy under ultrasound guidance: preliminary results. Cardiovasc Intervent Radiol 2012;35:898-905.

49. Swenson JD, Klingler KR, Pace NL, Davis JJ, Loose EC. Evaluation of a new needle guidance system for ultrasound: results of a prospective, randomized, blinded study. Reg Anesth Pain Med 2016;41:356-61.

50. Johnson AN, Peiffer JS, Halmann N, Delaney L, Owen CA, Hersh J. Ultrasound-guided needle technique accuracy: prospective comparison of passive magnetic tracking versus unassisted echogenic needle localization. Reg Anesth Pain Med 2017;42:223-32.

51. Cheung S, Rohling R. Enhancement of needle visibility in ultrasound-guided percutaneous procedures. Ultrasound Med Biol 2004;30:617-24.

52. Beigi P, Salcudean SE, Rohling R, Ng GC. Automatic detection of a hand-held needle in ultrasound via phased-based analysis of the tremor motion. Proc SPIE 2016;9786:166-71.

53. Mwikirize C, Nosher JL, Hacihaliloglu I. Enhancement of needle tip and shaft from 2d ultrasound using signal transmission maps. In: Ourselin S, Joskowicz L, Sabuncu MR, Unal G, Wells W, editors. Medical image computing and computer-assisted intervention - MICCAI 2016. Cham: Springer; 2016. pp. 362-9.

54. Mwikirize C, Nosher JL, Hacihaliloglu I. Learning needle tip localization from digital subtraction in 2D ultrasound. Int J Comput Assist Radiol Surg 2019;14:1017-26.

55. Beigi P, Rohling R, Salcudean SE, Ng GC. CASPER: computer-aided segmentation of imperceptible motion-a learning-based tracking of an invisible needle in ultrasound. Int J Comput Assist Radiol Surg 2017;12:1857-66.

56. Pourtaherian A, Scholten HJ, Kusters L, et al. Medical instrument detection in 3-dimensional ultrasound data volumes. IEEE Trans Med Imaging 2017;36:1664-75.

57. Ayvali E, Desai JP. Optical flow-based tracking of needles and needle-tip localization using circular hough transform in ultrasound images. Ann Biomed Eng 2015;43:1828-40.

58. Pourtaherian A, Zinger S, de With, PHN, Korsten HHM, Mihajlovic N. Benchmarking of state-of-the-art needle detection algorithms in 3D ultrasound data volumes. Proc SPIE 2015;9415:577-84.

59. Beigi P, Rohling R, Salcudean SE, Ng GC. Spectral analysis of the tremor motion for needle detection in curvilinear ultrasound via spatiotemporal linear sampling. Int J Comput Assist Radiol Surg 2016;11:1183-92.

60. Mwikirize C, Nosher JL, Hacihaliloglu I. Local phase-based learning for needle detection and localization in 3D ultrasound. In: Cardoso MJ, et al., editors. Computer assisted and robotic endoscopy and clinical image-based procedures. Cham: Springer; 2017. pp. 108-15.

61. Zhao Y, Cachard C, Liebgott H. Automatic needle detection and tracking in 3D ultrasound using an ROI-based RANSAC and Kalman method. Ultrason Imaging 2013;35:283-306.

62. Tang C, Xie G, Omisore OM, Xiong J, Xia Z. A real-time needle tracking algorithm with first-frame linear structure removing in 2D ultrasound-guided prostate therapy. In: 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO); 2019 Dec 6-8; Dali, China. IEEE; 2020. pp. 1240-5.

63. Hacihaliloglu I, Beigi P, Ng G, Rohling RN, Salcudean S, Abolmaesumi P. Projection-based phase features for localization of a needle tip in 2D curvilinear ultrasound. In: Navab N, Hornegger J, Wells WM, Frangi A, editors. Medical image computing and computer-assisted intervention - MICCAI 2015. Cham: Springer; 2015. pp. 347-54.

64. Agarwal N, Yadav AK, Gupta A, Orlando MF. Real-time needle tip localization in 2D ultrasound images using kalman filter. In: 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM); 2019 Jul 8-12; Hong Kong, China. IEEE; 2019. pp. 1008-12.

65. Mwikirize C, Nosher JL, Hacihaliloglu I. Single shot needle tip localization in 2D ultrasound. In: Shen D, et al., editors. Medical image computing and computer assisted intervention - MICCAI 2019. Cham: Springer; 2019. pp. 637-45.

66. Mwikirize C, Kimbowa AB, Imanirakiza S, Katumba A, Nosher JL, Hacihaliloglu I. Time-aware deep neural networks for needle tip localization in 2D ultrasound. Int J Comput Assist Radiol Surg 2021;16:819-27.

67. Hatt CR, Ng G, Parthasarathy V. Enhanced needle localization in ultrasound using beam steering and learning-based segmentation. Comput Med Imaging Graph 2015;41:46-54.

68. Younes H, Voros S, Troccaz J. Automatic needle localization in 3D ultrasound images for brachytherapy. In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018); 2018 Apr 4-7; Washington, DC, USA. IEEE; 2018. pp. 1203-7.

69. Beigi P, Rohling R, Salcudean T, Lessoway VA, Ng GC. Detection of an invisible needle in ultrasound using a probabilistic SVM and time-domain features. Ultrasonics 2017;78:18-22.

70. Geraldes AA, Rocha TS. A neural network approach for flexible needle tracking in ultrasound images using Kalman filter. In: 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics; 2014 Aug 12-15; Sao Paulo, Brazil. IEEE; 2014. pp. 70-5.

71. Pourtaherian A, Ghazvinian Zanjani F, Zinger S, et al. Improving needle detection in 3d ultrasound using orthogonal-plane convolutional networks. In: Descoteaux M, et al., editors. Medical image computing and computer-assisted intervention - MICCAI 2017. Cham: Springer; 2017. pp. 610-8.

72. Pourtaherian A. Robust needle detection and visualization for 3D ultrasound image-guided interventions. Available from: https://research.tue.nl/en/publications/robust-needle-detection-and-visualization-for-3d-ultrasound-image. [Last accessed on 25 Jul 2024].

73. Arif M, Moelker A, van Walsum T. Automatic needle detection and real-time Bi-planar needle visualization during 3D ultrasound scanning of the liver. Med Image Anal 2019;53:104-10.

74. Lee JY, Islam M, Woh JR, et al. Ultrasound needle segmentation and trajectory prediction using excitation network. Int J Comput Assist Radiol Surg 2020;15:437-43.

75. Zhang Y, He X, Tian Z, et al. Multi-needle detection in 3d ultrasound images using unsupervised order-graph regularized sparse dictionary learning. IEEE Trans Med Imaging 2020;39:2302-15.

76. Gao J, Liu P, Liu GD, Zhang L. Robust needle localization and enhancement algorithm for ultrasound by deep learning and beam steering methods. J Comput Sci Technol 2021;36:334-46.

77. Wijata A, Andrzejewski J, Pyciński B. An automatic biopsy needle detection and segmentation on ultrasound images using a convolutional neural network. Ultrason Imaging 2021;43:262-72.

78. Chen S, Lin Y, Li Z, Wang F, Cao Q. Automatic and accurate needle detection in 2D ultrasound during robot-assisted needle insertion process. Int J Comput Assist Radiol Surg 2022;17:295-303.

79. Zhang Y, Tian Z, Lei Y, et al. Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy. Phys Med Biol 2020;65:205003.

80. Zhang Y, Tian Z, Lei Y, et al. Multi-needle detection in ultrasound image using max-margin mask R-CNN. Proc SPIE 2021;11602:264-69.

81. Andersén C, Rydén T, Thunberg P, Lagerlöf JH. Deep learning-based digitization of prostate brachytherapy needles in ultrasound images. Med Phys 2020;47:6414-20.

82. Zhang Y, Lei Y, He X, et al. Ultrasound multi-needle detection using deep attention U-Net with TV regularizations. Proc SPIE 2021;11598:599-604.

83. Mwikirize C, Nosher JL, Hacihaliloglu I. Convolution neural networks for real-time needle detection and localization in 2D ultrasound. Int J Comput Assist Radiol Surg 2018;13:647-57.

84. Wang R, Tan G, Liu X. Robust tip localization under continuous spatial and temporal constraints during 2D ultrasound-guided needle puncture. Int J Comput Assist Radiol Surg 2023;18:2233-42.

85. Rubin J, Chen A, Thodiyil AO, et al. Efficient video-based deep learning for ultrasound guided needle insertion. 2021. Available from: https://openreview.net/forum?id=dVUHL5QhDhL. [Last accessed on 25 Jul 2024].

86. Wang R, Tan G, Liu X. TipDet: A multi-keyframe motion-aware framework for tip detection during ultrasound-guided interventions. Comput Methods Programs Biomed 2024;247:108109.

87. Che H, Qin J, Chen Y, et al. Improving needle tip tracking and detection in ultrasound-based navigation system using deep learning-enabled approach. IEEE J Biomed Health Inform 2024;28:2930-42.

88. Zade AAT, Aziz MJ, Majedi H, Mirbagheri A, Ahmadian A. Spatiotemporal analysis of speckle dynamics to track invisible needle in ultrasound sequences using convolutional neural networks: a phantom study. Int J Comput Assist Radiol Surg 2023;18:1373-82.

89. Gillies DJ, Rodgers JR, Gyacskov I, et al. Deep learning segmentation of general interventional tools in two-dimensional ultrasound images. Med Phys 2020;47:4956-70.

90. Pourtaherian A, Mihajlovic N, Ghazvinian Zanjani F, et al. Localization of partially visible needles in 3D ultrasound using dilated CNNs. In: 2018 IEEE International Ultrasonics Symposium (IUS); 2018 Oct 22-25; Kobe, Japan. IEEE; 2019. pp. 1-4.

91. Yan W, Ding Q, Chen J, Yan K, Tang RSY, Cheng SS. Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction. Med Image Anal 2023;88:102847.

92. Zhang Y, Harms J, Lei Y, et al. Weakly supervised multi-needle detection in 3D ultrasound images with bidirectional convolutional sparse coding. Proc SPIE 2020;11319:229-36.

93. Maier-Hein L, Reinke A, Godau P, et al. Metrics reloaded: recommendations for image analysis validation. Nat Methods 2024;21:195-212.

94. Reinke A, Tizabi MD, Baumgartner M, et al. Understanding metric-related pitfalls in image analysis validation. Nat Methods 2024;21:182-94.

95. Rodriguez-Molares A, Fatemi A, Lovstakken L, Torp H. Specular beamforming. IEEE Trans Ultrason Ferroelectr Freq Control 2017;64:1285-97.

96. Cai Q, Hu J, Chen M, et al. Inertial measurement unit-assisted ultrasonic tracking system for ultrasound probe localization. IEEE Trans Ultrason Ferroelectr Freq Control 2023;70:920-29.

Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
Follow Us

Portico

All published articles will be preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles will be preserved here permanently:

https://www.portico.org/publishers/oae/