Literature DB >> 23556884

Automatic patient alignment system using 3D ultrasound.

Marcus Kaar1, Michael Figl, Rainer Hoffmann, Wolfgang Birkfellner, Markus Stock, Dietmar Georg, Gregor Goldner, Johann Hummel.   

Abstract

PURPOSE: Recent developments in radiation therapy such as intensity modulated radiotherapy (IMRT) or dose painting promise to provide better dose distribution on the tumor. For effective application of these methods the exact positioning of the patient and the localization of the irradiated organ and surrounding structures is crucial. Especially with respect to the treatment of the prostate, ultrasound (US) allows for differentiation between soft tissue and was therefore applied by various repositioning systems, such as BAT or Clarity. The authors built a new system which uses 3D US at both sites, the CT room and the intervention room and applied a 3D/3D US/US registration for automatic repositioning.
METHODS: In a first step the authors applied image preprocessing methods to prepare the US images for an optimal registration process. For the 3D/3D registration procedure five different metrics were evaluated. To find the image metric which fits best for a particular patient three 3D US images were taken at the CT site and registered to each other. From these results an US registration error was calculated. The most successful image metric was then applied for the US/US registration process. The success of the whole repositioning method was assessed by taking the results of an ExacTrac system as golden standard.
RESULTS: The US/US registration error was found to be 2.99 ± 1.54 mm with respect to the mutual information metric by Mattes (eleven patients) which revealed to be the most suitable of the assessed metrics. For complete repositioning chain the error amounted to 4.15 ± 1.20 mm (ten patients).
CONCLUSIONS: The authors developed a system for patient repositioning which works automatically without the necessity of user interaction with an accuracy which seems to be suitable for clinical application.

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Mesh:

Year:  2013        PMID: 23556884     DOI: 10.1118/1.4795129

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  Intraoperative image-guided navigation system: development and applicability in 65 patients undergoing liver surgery.

Authors:  Vanessa M Banz; Philip C Müller; Pascale Tinguely; Daniel Inderbitzin; Delphine Ribes; Matthias Peterhans; Daniel Candinas; Stefan Weber
Journal:  Langenbecks Arch Surg       Date:  2016-04-28       Impact factor: 3.445

2.  Incorporating imaging information from deep neural network layers into image guided radiation therapy (IGRT).

Authors:  Wei Zhao; Bin Han; Yong Yang; Mark Buyyounouski; Steven L Hancock; Hilary Bagshaw; Lei Xing
Journal:  Radiother Oncol       Date:  2019-07-11       Impact factor: 6.280

3.  A comparison of interfraction setup error, patient comfort, and therapist acceptance for 2 different prostate radiation therapy immobilization devices.

Authors:  Eric Pei Ping Pang; Kellie Knight; Marilyn Baird; Joshua Ming Quan Loh; Adelene Hwee San Boo; Jeffrey Kit Loong Tuan
Journal:  Adv Radiat Oncol       Date:  2017-02-16

4.  Deformable registration of 3D ultrasound volumes using automatic landmark generation.

Authors:  Michael Figl; Rainer Hoffmann; Marcus Kaar; Johann Hummel
Journal:  PLoS One       Date:  2019-03-15       Impact factor: 3.240

5.  Improving 3D ultrasound prostate localisation in radiotherapy through increased automation of interfraction matching.

Authors:  Alexander Grimwood; Hassan Rivaz; Hang Zhou; Helen A McNair; Klaudiusz Jakubowski; Jeffrey C Bamber; Alison C Tree; Emma J Harris
Journal:  Radiother Oncol       Date:  2020-05-06       Impact factor: 6.280

6.  Evaluation of 3D ultrasound for image guidance.

Authors:  David Iommi; Johann Hummel; Michael Lutz Figl
Journal:  PLoS One       Date:  2020-03-26       Impact factor: 3.240

  6 in total

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