nach oben

International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

24.01.2017 | Original Article

Comparison of gesture and conventional interaction techniques for interventional neuroradiology

verfasst von: Julian Hettig, Patrick Saalfeld, Maria Luz, Mathias Becker, Martin Skalej, Christian Hansen

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 9/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Purpose

Interaction with radiological image data and volume renderings within a sterile environment is a challenging task. Clinically established methods such as joystick control and task delegation can be time-consuming and error-prone and interrupt the workflow. New touchless input modalities may have the potential to overcome these limitations, but their value compared to established methods is unclear.

Methods

We present a comparative evaluation to analyze the value of two gesture input modalities (Myo Gesture Control Armband and Leap Motion Controller) versus two clinically established methods (task delegation and joystick control). A user study was conducted with ten experienced radiologists by simulating a diagnostic neuroradiological vascular treatment with two frequently used interaction tasks in an experimental operating room. The input modalities were assessed using task completion time, perceived task difficulty, and subjective workload.

Results

Overall, the clinically established method of task delegation performed best under the study conditions. In general, gesture control failed to exceed the clinical input approach. However, the Myo Gesture Control Armband showed a potential for simple image selection task.

Conclusion

Novel input modalities have the potential to take over single tasks more efficiently than clinically established methods. The results of our user study show the relevance of task characteristics such as task complexity on performance with specific input modalities. Accordingly, future work should consider task characteristics to provide a useful gesture interface for a specific use case instead of an all-in-one solution.

Vorheriger Artikel Ultrasound-navigated radiofrequency ablation of thyroid nodules with integrated electromagnetic tracking: comparison with conventional ultrasound guidance in gelatin models

Nächster Artikel Auditory feedback to support image-guided medical needle placement

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Ahmed K, Keeling AN, Khan RS, Ashrafian H, Arora S, Nagpal K, Burrill J, Darzi A, Athanasiou T, Hamady M (2010) What does competence entail in interventional radiology? Cardiovasc Interv Radiol 33(1):3–10CrossRef

Bigdelou A, Schwarz L, Navab N (2012) An adaptive solution for intra-operative gesture-based human-machine interaction. In: Proceedings of the international conference on intelligent user interfaces, ACM, pp 75–84

Bizzotto N, Costanzo A, Bizzotto L, Regis D, Sandri A, Magnan B (2014) Leap motion gesture control with OsiriX in the operating room to control imaging first experiences during live surgery. Surg Innov 1:655–656CrossRef

Gallo L (2013) A study on the degrees of freedom in touchless interaction. In: SIGGRAPH Asia 2013 Technical briefs, ACM, p 28

Göbel F, Klamka K, Siegel A, Vogt S, Stellmach S, Dachselt R (2013) Gaze-supported foot interaction in zoomable information spaces. In: Extended abstracts on human factors in computing systems (CHI EA ’13). ACM, New York, USA, pp 3059–3062. doi:10.1145/2468356.2479610

Hart SG, Stavenland LE (1988) Development of NASA-TLX (task load index): results of empirical and theoretical research. In: Hancock PA, Meshkati N (eds) Human mental workload. Advances in psychology, vol 52. North-Holland, pp 139–183. http://www.sciencedirect.com/science/article/pii/S0166411508623869

Hettig J, Mewes A, Riabikin O, Skalej M, Preim B, Hansen C (2015) Exploration of 3D medical image data for interventional radiology using myoelectric gesture control. In: Eurographics workshop on visual computing for biology and medicine, pp 177–185

Hübler A, Hansen C, Beuing O, Skalej M, Preim B (2014) Workflow analysis for interventional neuroradiology using frequent pattern mining. In: Proceedings of the annual meeting of the German society of computer- and robot-assisted surgery (CURAC), pp 165–168

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

10.

Mauser S, Burgert O (2014) Touch-free, gesture-based control of medical devices and software based on the leap motion controller. Stud Health Technol Inform 196:265–270PubMed

11.

Meng M, Fallavollita P, Habert S, Weider S, Navab N (2016) Device and system independent personal touchless user interface for operating rooms. In: International conference on information processing in computer-assisted interventions (IPCAI)

12.

Mewes A, Hensen B, Wacker F, Hansen C (2016a) Touchless interaction with software in interventional radiology and surgery: a systematic literature review. Int J CARS 1–15. doi:10.1007/s11548-016-1480-6

13.

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

14.

Odisio BC, Wallace MJ (2014) Image-guided interventions in oncology. Surg Oncol Clin N Am 23(4):937–955CrossRefPubMed

15.

O’Hara K, Gonzalez G, Sellen A, Penney G, Varnavas A, Mentis H, Criminisi A, Corish R, Rouncefield M, Dastur N, Carrell T (2014) Touchless interaction in surgery. Commun ACM 57(1):70–77CrossRef

16.

Onceanu D, Stewart AJ (2011) Direct surgeon control of the computer in the operating room. In: Medical image computing and computer-assisted intervention—(MICCAI), pp 121–128

17.

promolla A, Volpi V, Ingrosso A, Fabri S, Rapuano C, Passalacqua D, Medaglia CM (2015) A usability study of a gesture recognition system applied during the surgical procedures. In: Marcus A (eds) Design, User Experience, and Usability: Interactive Experience Design. DUXU 2015. Lecture Notes in Computer Science, vol 9188. Springer, Cham, pp 682–692. doi:10.1007/978-3-319-20889-3_63

18.

Park BJ, Jang T, Choi JW, Kim N (2016) Gesture-controlled interface for contactless control of various computer programs with a hooking-based keyboard and mouse-mapping technique in the operating room. Comput Math Methods Med 2016:5170379:1–5170379:7. doi:10.1155/2016/5170379

19.

Robert G, Hockey J (1997) Compensatory control in the regulation of human performance under stress and high workload: a cognitive-energetical framework. Biol Psychol 45(1):73–93CrossRef

20.

Rosa GM, Elizondo ML (2014) Use of a gesture user interface as a touchless image navigation system in dental surgery: case series report. Imag Sci Dent 44(2):155–160CrossRef

21.

Rutala WA, White MS, Gergen MF, Weber DJ (2006) Bacterial contamination of keyboards: efficacy and functional impact of disinfectants. Infect Control 27(4):372–377

22.

Saalfeld P, Mewes A, Luz M, Preim B, Hansen C (2015) Comparative evaluation of gesture and touch input for medical software. In: Mensch und computer proceedings, pp 143–152

23.

Schwarz LA, Bigdelou A, Navab N (2011) Learning gestures for customizable human-computer interaction in the operating room. In: Medical image computing and computer-assisted intervention–(MICCAI), pp 129–136

24.

Stevenson D, Gardner H, Neilson W, Beenen E, Gananadha S, Fergusson J, Jeans P, Mews P, Bandi H (2016) Evidence from the surgeons: gesture control of image data displayed during surgery. Behav Inform Technol 35(12):1063–1079. doi:10.1080/0144929X.2016.1203025 CrossRef

25.

Stevenson DR (2011) Tertiary-level telehealth: a media space application. Comput Support Coop Work (CSCW) 20(1):61–92CrossRef

26.

Tedesco DP, Tullis TS (2006) A comparison of methods for eliciting post-task subjective ratings in usability testing. In: Usability Professionals Association (UPA), pp 1–9

27.

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):e0153–596CrossRef

Titel: Comparison of gesture and conventional interaction techniques for interventional neuroradiology
verfasst von: Julian Hettig
Patrick Saalfeld
Maria Luz
Mathias Becker
Martin Skalej
Christian Hansen
Publikationsdatum: 24.01.2017
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 9/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-017-1523-7

Springer Professional

Abstract

Purpose

Methods

Results

Conclusion

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 9/2017

BEM-based simulation of lung respiratory deformation for CT-guided biopsy

Robust and automatic diagnosis of the intraventricular mechanical dyssynchrony for the left ventricle in cardiac magnetic resonance images

Development of digital phantoms based on a finite element model to simulate low-attenuation areas in CT imaging for pulmonary emphysema quantification

An automatic segmentation method of a parameter-adaptive PCNN for medical images

A software solution to dynamically reduce metallic distortions of electromagnetic tracking systems for image-guided surgery

Ultrasound-navigated radiofrequency ablation of thyroid nodules with integrated electromagnetic tracking: comparison with conventional ultrasound guidance in gelatin models