The design of a user interface for a photonic tool

The design of a user interface for a photonic tool

Maagdenberg, F.J.M.

Dankelman, J. (mentor)
Van der Eijk, A.C. (mentor)

Mechanical, Maritime and Materials Engineering

BioMechanical Engineering

BME

2014-05-02

Diffuse reflectance spectroscopy (DRS) allows spectral tissue sensing through optical fibers at the tip of a needle, endoscope, or other medical device. A so-called photonic tool could be applicable in a variety of application areas to aid in diagnostic decisions or to support image-guided procedures. The use of light in combination with medical imaging techniques is clinically appealing, since an optical technique can detect physiological and biological changes whereas medical imaging techniques provide morphological information. The objective of this thesis was to design a user interface for a photonic tool that provides real-time tissue information during image-guided procedures. To determine the possible parameter output of a photonic tool and to identify parameter visualization possibilities a background analysis was performed by means of a literature study (Chapter 1). Afterwards, the influencing factors in relation to a user interface design were investigated (Chapter 2). Next, the viable focus areas for a photonic tool user interface were defined according to an exploratory research and a literature study (Chapter 3). Thereafter, a feasibility study of a photonic tool device within two focus areas was performed by focus area specific interviews and observations. During these interviews, static prototypes were used to identify user preferences in relation to the visual feedback (Chapter 4). Subsequently, an advice was created for the photonic tool user interface design within the two focus areas (Chapter 5). The user interaction with a simulated photonic tool in relation to a specific visual feedback design was studied. A dynamic prototype was used that could provide three visual feedback types: numerical, graphical, and a combination (Chapter 6). Finally, conclusions and future steps were defined to promote the further development of the photonic tool user interface (Chapter 7). The main conclusions of the background analysis were that the parameter output is application dependent and can aid in tissue characterization by a full spectrum or extracted optical properties from the spectrum. Furthermore, a user interface overview is created to show visualization possibilities. Additionally, visual feedback and workflow considerations are defined that can be used as a guideline during the user interface design process. Next, the dependent factors are identified that influence the user interface design: the environment, clinician, procedure, and patient. A photonic tool appears to be beneficial for cancer detection, tissue layer detection, and surface detection. The chosen viable focus areas are nerve block and bronchoscopic lung biopsy procedures. Within the nerve block application area the parameter output depends on the experience level of the anesthesiologist, the bock location, and block type. For the lung biopsy application area, target reach feedback (i.e. tumor identification) is required. An overview regarding the type of information, and the visual feedback and workflow requirements & desires are presented that led to focus area specific user interface scenarios. One user interface scenario for the lung biopsy application is tested based on three visual feedback types. The type of visual feedback that is provided to the subject influences the performance in relation to the length of time, accuracy, and needle path towards the target area, a peripheral lung tumor. A graphical feedback type is required on a user interface display to increase user performance. Furthermore, the simulation study resulted in new design recommendation that defined the final step in this iterative user interface design process.

User interface design
Diffuse reflectance spectroscopy
Image-guided techniques
Lung biopsy
Nerve block
Simulation

http://resolver.tudelft.nl/uuid:86d60f61-8eae-4977-bb43-3e4e018f2387

2019-05-02

Student theses

master thesis

(c) 2014 Maagdenberg, F.J.M.