nach oben

International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

13.09.2019 | Original Article

Touchless scanner control to support MRI-guided interventions

verfasst von: Benjamin Hatscher, André Mewes, Enrico Pannicke, Urte Kägebein, Frank Wacker, Christian Hansen, Bennet Hensen

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 3/2020

Einloggen, um Zugang zu erhalten

Abstract

Purpose

MRI-guided interventions allow minimally invasive, radiation-free treatment but rely on real-time image data and free slice positioning. Interventional interaction with the data and the MRI scanner is cumbersome due to the diagnostic focus of current systems, confined space and sterile conditions.

Methods

We present a touchless, hand-gesture-based interaction concept to control functions of the MRI scanner typically used during MRI-guided interventions. The system consists of a hand gesture sensor customised for MRI compatibility and a specialised UI that was developed based on clinical needs. A user study with 10 radiologists was performed to compare the gesture interaction concept and its components to task delegation—the prevalent method in clinical practice.

Results

Both methods performed comparably in terms of task duration and subjective workload. Subjective performance with gesture input was perceived as worse compared to task delegation, but was rated acceptable in terms of usability while task delegation was not.

Conclusion

This work contributes by (1) providing access to relevant functions on an MRI scanner during percutaneous interventions in a (2) suitable way for sterile human–computer interaction. The introduced concept removes indirect interaction with the scanner via an assistant, which leads to comparable subjective workload and task completion times while showing higher perceived usability.

Nur mit Berechtigung zugänglich

Bachmann D, Weichert F, Rinkenauer G (2015) Evaluation of the leap motion controller as a new contact-free pointing device. Sensors 15(1):214–233. https://doi.org/10.3390/s150100214 CrossRef

Bangor A, Kortum P, Miller J (2009) Determining what individual sus scores mean: adding an adjective rating scale. J Usability Stud 4(3):114–123

Barkhausen J, Kahn T, Krombach GA, Kuhl CK, Lotz J, Maintz D, Ricke J, Schönberg SO, Vogl TJ, Wacker FK (2017) White paper: interventional MRI: current status and potential for development considering economic perspectives, part 2: liver and other applications in oncology. RoFo: Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin 189(11):1047–1054CrossRef

Brooke J (1996) SUS-A quick and dirty usability scale. Usability Eval Ind 189(194):4–7

Christoforou E, Akbudak E, Ozcan A, Karanikolas M, Tsekos NV (2007) Performance of interventions with manipulator-driven real-time mr guidance: implementation and initial in vitro tests. Magn Reson Imaging 25(1):69–77CrossRef

Cronin S, Doherty G (2018) Touchless computer interfaces in hospitals: a review. Health Inform J. https://doi.org/10.1177/1460458217748342 CrossRef

Fischbach F, Bunke J, Thormann M, Gaffke G, Jungnickel K, Smink J, Ricke J (2011) MR-guided freehand biopsy of liver lesions with fast continuous imaging using a 1.0-T open mri scanner: experience in 50 patients. Cardiovasc Interv Radiol 34(1):188–192CrossRef

Gu C, Wang J, Lien J (2019) Motion sensing using radar: gesture interaction and beyond. IEEE Microw Mag 20(8):44–57CrossRef

Güttler FV, Heinrich A, Herrmann F, Teichgräber UKM (2018) Gesture control: the hand for the contactless control of the MRI during interventional procedures. Eur Soc Radiol. https://doi.org/10.1594/ecr2018/C-1819 CrossRef

10.

Hart SG (2006) Nasa-task load index (nasa-tlx); 20 years later. In: Proceedings of the human factors and ergonomics society annual meeting, vol 50, pp 904–908CrossRef

11.

Hettig J, Saalfeld P, Luz M, Becker M, Skalej M, Hansen C (2017) Comparison of gesture and conventional interaction techniques for interventional neuroradiology. Int J Comput Assist Radiol Surg 12:1643–1653CrossRef

12.

Jacob MG, Wachs JP (2014) Context-based hand gesture recognition for the operating room. Pattern Recognit Lett 36:196–203CrossRef

13.

Kägebein U, Godenschweger F, Armstrong BS, Rose G, Wacker FK, Speck O, Hensen B (2018) Percutaneous MR-guided interventions using an optical moiré phase tracking system: initial results. PLoS ONE 13(10):e0205394CrossRef

14.

Kim Y, Toomajian B (2016) Hand gesture recognition using micro-doppler signatures with convolutional neural network. IEEE Access 4:7125–7130CrossRef

15.

Malaterre M et al (2008) GDCM reference manual, 1st edn. http://gdcm.sourceforge.net/gdcm.pdf. Accessed 15 Nov 2018

16.

Mazilu MT, Faranesh AZ, Derbyshire JA, Lederman RJ, Hansen MS (2011) Low-cost MRI compatible interface device for interactive scan plane control. In: Proceedings of the 19th annual meeting of ISMRM, Montreal, Canada, p 3752

17.

Mewes A, Hensen B, Wacker F, Hansen C (2017) Touchless interaction with software in interventional radiology and surgery: a systematic literature review. Int J Comput Assist Radiol Surg 12(2):291–305CrossRef

18.

Mewes A, Saalfeld P, Riabikin O, Skalej M, Hansen C (2016) A gesture-controlled projection display for CT-guided interventions. Int J Comput Assist Radiol Surg 11(1):157–164CrossRef

19.

Pannicke E, Hatscher B, Hensen B, Mewes A, Hansen C, Wacker F, Vick R (2018) MR compatible and sterile gesture interaction for interventions. In: Proceedings of the 12th interventional MRI symposium

20.

Riffe MJ, Yutzy SR, Jiang Y, Twieg MD, Blumenthal CJ, Hsu DP, Pan L, Gilson WD, Sunshine JL, Flask CA, Duerk JL, Nakamoto D, Gulani V, Griswold MA (2014) Device localization and dynamic scan plane selection using a wireless magnetic resonance imaging detector array. Magn Reson Med 71(6):2243–2249CrossRef

21.

Rothgang E, Gilson WD, Wacker F, Hornegger J, Lorenz CH, Weiss CR (2013) Rapid freehand MR-guided percutaneous needle interventions: an image-based approach to improve workflow and feasibility. J Magn Reson Imaging JMRI 37(5):1202–1212CrossRef

22.

23.

Rube MA, Holbrook AB, Cox BF, Buciuc R, Melzer A (2015) Wireless mobile technology to improve workflow and feasibility of MR-guided percutaneous interventions. Int J Comput Assist Radiol Surg 10(5):665–676CrossRef

24.

Rutala WA, White MS, Gergen MF, Weber DJ (2006) Bacterial contamination of keyboards: efficacy and functional impact of disinfectants. Infect Control Hosp Epidemiol 27(04):372–377CrossRef

25.

Schroeder WJ, Martin K, Lorensen WE (2006) The visualization toolkit, 4. ed edn. Kitware, New York

26.

Wachs JP, Stern HI, Edan Y, Gillam M, Handler J, Feied C, Smith M (2008) A gesture-based tool for sterile browsing of radiology images. J Am Med Inform Assoc 15(3):321–323. https://doi.org/10.1197/jamia.M2410 CrossRefPubMedPubMedCentral

27.

Weichert F, Bachmann D, Rudak B, Fisseler D (2013) Analysis of the accuracy and robustness of the leap motion controller. Sensors 13(5):6380–6393CrossRef

28.

Weiss J, Hoffmann R, Rempp H, Ke\(\beta \)ler DE, Pereira PL, Nikolaou K, Clasen S (2018) Feasibility, efficacy, and safety of percutaneous mr-guided ablation of small (\(\pm \) 12 mm) hepatic malignancies. J Magn Reson Imaging 49:374–381

29.

Wipfli R, Dubois-Ferrière V, Budry S, Hoffmeyer P, Lovis C (2016) Gesture-controlled image management for operating room: a randomized crossover study to compare interaction using gestures, mouse, and third person relaying. PLoS ONE 11(4):e0153596CrossRef

Titel: Touchless scanner control to support MRI-guided interventions
verfasst von: Benjamin Hatscher
André Mewes
Enrico Pannicke
Urte Kägebein
Frank Wacker
Christian Hansen
Bennet Hensen
Publikationsdatum: 13.09.2019
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 3/2020
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-019-02058-1

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Touchless scanner control to support MRI-guided interventions