Literature DB >> 32995981

Enhancement of needle visualization and localization in ultrasound.

Parmida Beigi1, Septimiu E Salcudean2, Gary C Ng3, Robert Rohling4.   

Abstract

PURPOSE: This scoping review covers needle visualization and localization techniques in ultrasound, where localization-based approaches mostly aim to compute the needle shaft (and tip) location while potentially enhancing its visibility too.
METHODS: A literature review is conducted on the state-of-the-art techniques, which could be divided into five categories: (1) signal and image processing-based techniques to augment the needle, (2) modifications to the needle and insertion to help with needle-transducer alignment and visibility, (3) changes to ultrasound image formation, (4) motion-based analysis and (5) machine learning.
RESULTS: Advantages, limitations and challenges of representative examples in each of the categories are discussed. Evaluation techniques performed in ex vivo, phantom and in vivo studies are discussed and summarized.
CONCLUSION: Greatest limitation of the majority of the literature is that they rely on original visibility of the needle in the static image. Need for additional/improved apparatus is the greatest limitation toward clinical utility in practice. SIGNIFICANCE: Ultrasound-guided needle placement is performed in many clinical applications, including biopsies, treatment injections and anesthesia. Despite the wide range and long history of this technique, an ongoing challenge is needle visibility in ultrasound. A robust technique to enhance ultrasonic needle visibility, especially for steeply inserted hand-held needles, and while maintaining clinical utility requirements is needed.

Keywords:  Image processing; Image-guidance; Machine learning; Needle detection; Needle visualization; Ultrasound

Mesh:

Year:  2020        PMID: 32995981     DOI: 10.1007/s11548-020-02227-7

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  35 in total

1.  In-vitro visualization of biopsy needles with ultrasound: a comparative study of standard and echogenic needles using an ultrasound phantom.

Authors:  R E Hopkins; M Bradley
Journal:  Clin Radiol       Date:  2001-06       Impact factor: 2.350

2.  Methods for segmenting curved needles in ultrasound images.

Authors:  Stephen H Okazawa; Richelle Ebrahimi; Jason Chuang; Robert N Rohling; Septimiu E Salcudean
Journal:  Med Image Anal       Date:  2006-03-07       Impact factor: 8.545

3.  US guidance of interventional procedures.

Authors:  T A Matalon; B Silver
Journal:  Radiology       Date:  1990-01       Impact factor: 11.105

4.  Biopsy needle detection in transrectal ultrasound.

Authors:  Alper Ayvaci; Pingkun Yan; Sheng Xu; Stefano Soatto; Jochen Kruecker
Journal:  Comput Med Imaging Graph       Date:  2011-05-04       Impact factor: 4.790

5.  Needle tip visualization during ultrasound-guided vascular access: short-axis vs long-axis approach.

Authors:  Michael B Stone; Cynthia Moon; Darrell Sutijono; Michael Blaivas
Journal:  Am J Emerg Med       Date:  2010-01-28       Impact factor: 2.469

Review 6.  Interventional ultrasound.

Authors:  H H Holm; B Skjoldbye
Journal:  Ultrasound Med Biol       Date:  1996       Impact factor: 2.998

Review 7.  Improving needle tip identification during ultrasound-guided procedures in anaesthetic practice.

Authors:  H J Scholten; A Pourtaherian; N Mihajlovic; H H M Korsten; R A Bouwman
Journal:  Anaesthesia       Date:  2017-05-22       Impact factor: 6.955

8.  A Methodical Quantification of Needle Visibility and Echogenicity in Ultrasound Images.

Authors:  Nick J van de Berg; Juan A Sánchez-Margallo; Arjan P van Dijke; Thomas Langø; John J van den Dobbelsteen
Journal:  Ultrasound Med Biol       Date:  2019-01-14       Impact factor: 2.998

9.  Optical Flow-Based Tracking of Needles and Needle-Tip Localization Using Circular Hough Transform in Ultrasound Images.

Authors:  Elif Ayvali; Jaydev P Desai
Journal:  Ann Biomed Eng       Date:  2014-12-12       Impact factor: 3.934

10.  Needle segmentation using 3D Hough transform in 3D TRUS guided prostate transperineal therapy.

Authors:  Wu Qiu; Ming Yuchi; Mingyue Ding; David Tessier; Aaron Fenster
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

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  1 in total

1.  Peripheral Neuropathies Seen by Ultrasound: A Literature Analysis through Lexical Evaluation, Geographical Assessment and Graph Theory.

Authors:  Daniele Coraci; Claudia Loreti; Augusto Fusco; Silvia Giovannini; Luca Padua
Journal:  Brain Sci       Date:  2021-01-16
  1 in total

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