Literature DB >> 20415592

Image-guided interventions: technology review and clinical applications.

Kevin Cleary1, Terry M Peters.   

Abstract

Image-guided interventions are medical procedures that use computer-based systems to provide virtual image overlays to help the physician precisely visualize and target the surgical site. This field has been greatly expanded by the advances in medical imaging and computing power over the past 20 years. This review begins with a historical overview and then describes the component technologies of tracking, registration, visualization, and software. Clinical applications in neurosurgery, orthopedics, and the cardiac and thoracoabdominal areas are discussed, together with a description of an evolving technology named Natural Orifice Transluminal Endoscopic Surgery (NOTES). As the trend toward minimally invasive procedures continues, image-guided interventions will play an important role in enabling new procedures, while improving the accuracy and success of existing approaches. Despite this promise, the role of image-guided systems must be validated by clinical trials facilitated by partnerships between scientists and physicians if this field is to reach its full potential.

Mesh:

Year:  2010        PMID: 20415592     DOI: 10.1146/annurev-bioeng-070909-105249

Source DB:  PubMed          Journal:  Annu Rev Biomed Eng        ISSN: 1523-9829            Impact factor:   9.590


  80 in total

1.  Augmented microscopy: real-time overlay of bright-field and near-infrared fluorescence images.

Authors:  Jeffrey R Watson; Christian F Gainer; Nikolay Martirosyan; Jesse Skoch; G Michael Lemole; Rein Anton; Marek Romanowski
Journal:  J Biomed Opt       Date:  2015-10       Impact factor: 3.170

2.  Design and characterization of an optimized simultaneous color and near-infrared fluorescence rigid endoscopic imaging system.

Authors:  Vivek Venugopal; Minho Park; Yoshitomo Ashitate; Florin Neacsu; Frank Kettenring; John V Frangioni; Sidhu P Gangadharan; Sylvain Gioux
Journal:  J Biomed Opt       Date:  2013-12       Impact factor: 3.170

3.  MITK-US: real-time ultrasound support within MITK.

Authors:  K März; A M Franz; A Seitel; A Winterstein; R Bendl; S Zelzer; M Nolden; H-P Meinzer; L Maier-Hein
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-12-17       Impact factor: 2.924

4.  C-arm angle measurement with accelerometer for brachytherapy: an accuracy study.

Authors:  Thomas Wolff; Andras Lasso; Markus Eblenkamp; Erich Wintermantel; Gabor Fichtinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-07-03       Impact factor: 2.924

5.  Using a depth-sensing infrared camera system to access and manipulate medical imaging from within the sterile operating field.

Authors:  Matt Strickland; Jamie Tremaine; Greg Brigley; Calvin Law
Journal:  Can J Surg       Date:  2013-06       Impact factor: 2.089

6.  Preliminary development of a workstation for craniomaxillofacial surgical procedures: introducing a computer-assisted planning and execution system.

Authors:  Chad R Gordon; Ryan J Murphy; Devin Coon; Ehsan Basafa; Yoshito Otake; Mohammed Al Rakan; Erin Rada; Srinivas Susarla; Sriniras Susarla; Edward Swanson; Elliot Fishman; Gabriel Santiago; Gerald Brandacher; Peter Liacouras; Gerald Grant; Mehran Armand
Journal:  J Craniofac Surg       Date:  2014-01       Impact factor: 1.046

Review 7.  Augmented and Mixed Reality: Technologies for Enhancing the Future of IR.

Authors:  Brian J Park; Stephen J Hunt; Charles Martin; Gregory J Nadolski; Bradford J Wood; Terence P Gade
Journal:  J Vasc Interv Radiol       Date:  2020-02-13       Impact factor: 3.464

8.  Patient-specific desktop 3D-printed guides for pelvic tumour resection surgery: a precision study on cadavers.

Authors:  Mónica García-Sevilla; Lydia Mediavilla-Santos; María Teresa Ruiz-Alba; Rubén Pérez-Mañanes; José Antonio Calvo-Haro; Javier Pascau
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-02-22       Impact factor: 2.924

9.  Assessment of prior image induced nonlocal means regularization for low-dose CT reconstruction: Change in anatomy.

Authors:  Hao Zhang; Jianhua Ma; Jing Wang; William Moore; Zhengrong Liang
Journal:  Med Phys       Date:  2017-09       Impact factor: 4.071

10.  dPIRPLE: a joint estimation framework for deformable registration and penalized-likelihood CT image reconstruction using prior images.

Authors:  H Dang; A S Wang; Marc S Sussman; J H Siewerdsen; J W Stayman
Journal:  Phys Med Biol       Date:  2014-08-06       Impact factor: 3.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.