Literature DB >> 25786982

An integrated model-based software for FUS in moving abdominal organs.

Michael Schwenke1, Jan Strehlow, Sabrina Haase, Juergen Jenne, Christine Tanner, Thomas Langø, Arjo J Loeve, Ioannis Karakitsios, Xu Xiao, Yoav Levy, Giora Sat, Mario Bezzi, Stefan Braunewell, Matthias Guenther, Andreas Melzer, Tobias Preusser.   

Abstract

Focused ultrasound surgery (FUS) is a non-invasive method for tissue ablation that has the potential for complete and controlled local tumour destruction with minimal side effects. The treatment of abdominal organs such as the liver, however, requires particular technological support in order to enable a safe, efficient and effective treatment. As FUS is applied from outside the patient's body, suitable imaging methods, such as magnetic resonance imaging or diagnostic ultrasound, are needed to guide and track the procedure. To facilitate an efficient FUS procedure in the liver, the organ motion during breathing and the partial occlusion by the rib cage need to be taken into account in real time, demanding a continuous patient-specific adaptation of the treatment configuration. Modelling the patient's respiratory motion and combining this with tracking data improves the accuracy of motion predictions. Modelling and simulation of the FUS effects within the body allows the use of treatment planning and has the potential to be used within therapy to increase knowledge about the patient status. This article describes integrated model-based software for patient-specific modelling and prediction for FUS treatments of moving abdominal organs.

Entities:  

Keywords:  Clinical trials-thermal ablation; high-intensity focused ultrasound; modelling; thermal ablation

Mesh:

Year:  2015        PMID: 25786982     DOI: 10.3109/02656736.2014.1002817

Source DB:  PubMed          Journal:  Int J Hyperthermia        ISSN: 0265-6736            Impact factor:   3.914


  6 in total

1.  Multi-resolution simulation of focused ultrasound propagation through ovine skull from a single-element transducer.

Authors:  Kyungho Yoon; Wonhye Lee; Phillip Croce; Amanda Cammalleri; Seung-Schik Yoo
Journal:  Phys Med Biol       Date:  2018-05-10       Impact factor: 3.609

2.  In vivo validation of spatio-temporal liver motion prediction from motion tracked on MR thermometry images.

Authors:  C Tanner; Y Zur; K French; G Samei; J Strehlow; G Sat; H McLeod; G Houston; S Kozerke; G Székely; A Melzer; T Preusser
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-04-12       Impact factor: 2.924

3.  Analytical estimation of ultrasound properties, thermal diffusivity, and perfusion using magnetic resonance-guided focused ultrasound temperature data.

Authors:  C R Dillon; G Borasi; A Payne
Journal:  Phys Med Biol       Date:  2016-01-07       Impact factor: 3.609

4.  A focused ultrasound treatment system for moving targets (part I): generic system design and in-silico first-stage evaluation.

Authors:  Michael Schwenke; Jan Strehlow; Daniel Demedts; Sabrina Haase; Diego Barrios Romero; Sven Rothlübbers; Caroline von Dresky; Stephan Zidowitz; Joachim Georgii; Senay Mihcin; Mario Bezzi; Christine Tanner; Giora Sat; Yoav Levy; Jürgen Jenne; Matthias Günther; Andreas Melzer; Tobias Preusser
Journal:  J Ther Ultrasound       Date:  2017-07-24

Review 5.  Therapeutic Potentials of Localized Blood-Brain Barrier Disruption by Noninvasive Transcranial Focused Ultrasound: A Technical Review.

Authors:  Amanda Cammalleri; Phillip Croce; Wonhye Lee; Kyungho Yoon; Seung-Schik Yoo
Journal:  J Clin Neurophysiol       Date:  2020-03       Impact factor: 2.590

6.  One-lung flooding reduces the ipsilateral diaphragm motion during mechanical ventilation.

Authors:  Thomas Günther Lesser; Harald Schubert; Daniel Güllmar; Jürgen R Reichenbach; Frank Wolfram
Journal:  Eur J Med Res       Date:  2016-03-08       Impact factor: 2.175

  6 in total

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