Evaluation of a haptics-based virtual reality temporal bone simulator for anatomy and surgery training

Fang, Te-Yung; Wang, Pa‐Chun; Liu, Chih-Hsien; Su, Mu-Chun; Yeh, Shih-Ching

doi:10.1016/j.cmpb.2013.11.005

Cited by 93 publications

(79 citation statements)

References 19 publications

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“…If two lines corresponding to the two subpixel coordinates in the right and left images originate from the same marker, then they intersect and satisfy Equation (13). However, the satisfaction of Equation (13) does not mean that both lines absolutely originate from the same marker.…”

Section: Optical Relationshipmentioning

confidence: 99%

“…However, the satisfaction of Equation (13) does not mean that both lines absolutely originate from the same marker. Moreover, both lines certainly do not originate from the same marker if they do not satisfy Equation (13).…”

Section: Optical Relationshipmentioning

confidence: 99%

“…After manual analysis, the matching relations of these 15 pairs of points are determined, as shown in Table 6, and regarded as the standard to verify the algorithm. After the subpixel coordinates of all the points in the pairs of images are obtained, we can derive the linear equations for the markers by using Equations (4)- (12), and all the matching results satisfy Equation (13), as shown in Figure 9(A). However, given more than one marker exists on the same plane, 15 correct matches and 23 pseudo markers are derived among all the corresponding relations.…”

Section: Multiple Surgical Instrumentsmentioning

confidence: 99%

“…Finally, after simulating the surgical procedure, the doctor can actually perform the operation aided by a video monitoring system and stereotaxic device. With the rapid development in CAS, it has been used in neurosurgery, [6,7] plastic surgery, [8,9] osteopathy [10][11][12] and otolaryngology, [13] among other medical fields. As an important tool in CAS, a surgical navigation system (SNS) can show the location and direction of surgical instruments relative to the lesion region to guide surgical operations with real-time images.…”

Section: Introductionmentioning

confidence: 99%

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Tracking multiple surgical instruments in a near-infrared optical system

Cai

Yang

Lin

et al. 2016

Computer Assisted Surgery

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Surgical navigation systems can assist doctors in performing more precise and more efficient surgical procedures to avoid various accidents. The near-infrared optical system (NOS) is an important component of surgical navigation systems. However, several surgical instruments are used during surgery, and effectively tracking all of them is challenging. A stereo matching algorithm using two intersecting lines and surgical instrument codes is proposed in this paper. In our NOS, the markers on the surgical instruments can be captured by two near-infrared cameras. After automatically searching and extracting their subpixel coordinates in the left and right images, the coordinates of the real and pseudo markers are determined by the two intersecting lines. Finally, the pseudo markers are removed to achieve accurate stereo matching by summing the codes for the distances between a specific marker with the other two markers on the surgical instrument. Experimental results show that the markers on the different surgical instruments can be automatically and accurately recognized. The NOS can accurately track multiple surgical instruments.

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Section: Optical Relationshipmentioning

confidence: 99%

Section: Optical Relationshipmentioning

confidence: 99%

Section: Multiple Surgical Instrumentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Tracking multiple surgical instruments in a near-infrared optical system

Cai

Yang

Lin

et al. 2016

Computer Assisted Surgery

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“…Touch and kinaesthetic sensation through feeling and manipulating real human tissues is available through studying cadavers, prosected specimens, and living human models (McLachlan and Patten, 2006;Dev et al, 2002), and is particularly important for surgical and procedural training (Dev et al, 2002). Thus, adding haptic feedback to CAL resources has been an active area of research and development for two decades, including for surgical training (Hoffman and Vu, 1997;Dev et al, 2002;Panait et al, 2009;Fang et al, 2014;Ruthenbeck and Reynolds, 2015;Basdogan et al, 2004;Esteban et al, 2014;Kim et al, 2013;Schvartzman et al, 2014;Thomas, 2013;Wu et al, 2014), clinical procedural training (Arevalo et al, 2013), palpation training (Howell et al, 2008;Ullrich and Kuhlen, 2012), and anatomical education (Dev et al, 2002;Kinnison et al, 2009;Sakellariou et al, 2009;Ingole et al, 2015;Khot et al, 2013;Lewis et al, 2014a;Weber et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Factors influencing undergraduate students’ acceptance of a haptic interface for learning gross anatomy

Yeom

Choi-Lundberg

Fluck

et al. 2017

ITSE

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Biographical Details:Soonja Yeom, is a Lecturer in School of Engineering and ICT. She teaches computer security and programming for the internet. Currently she is a PhD candidate with a thesis titled 'Undergraduate student acceptance of haptic simulation in gross anatomy learning'. Her research interests include technology-enhanced learning, human computer interface, and computer security.Derek Choi-Lundberg, PhD, is Senior Lecturer in Anatomy, School of Medicine, University of Tasmania. He teaches gross anatomy, neuroanatomy and embryology to first to third year medical students, and coordinates year 1, semester 2 of the MBBS course. His research interests include medical and anatomical sciences education, technology-enhanced learning, assessment, near-peer and reciprocal peer teaching & learning, and student learning approaches in anatomy.Andrew Fluck, PhD, is a Senior Lecturer in Information Technology and teacher educator at the University of Tasmania. He has an interest in curriculum transformation through the use of computers; developed an eExam system for students to use their own computers in high stakes assessment; and serves on the executive of Working Group 3.3 (research into educational applications of information technologies) for IFIP/UNESCO. See more at http://andrew.fluck.id.au/.Arthur Sale, PhD, is Emeritus Professor of Computer Science at the University of Tasmania. He has lectured on many aspects of ICT over a career of 55 years including human-computer interfaces, served as Chairman of the University's Professorial Board, as Pro Vice-Chancellor and was for 20 years head of the ICT department. He has published over 90 papers, many book chapters and two books. His primary research interests lie in computer design, programming languages, and the effects of the Internet on society.3 Abstract:Purpose -This research evaluates factors influencing undergraduate students' acceptance of a computer-aided learning (CAL) resource using the Phantom Omni haptic stylus to enable rotation, touch and kinaesthetic feedback, and display of names of three-dimensional (3D) human anatomical structures on a visual display. Design/methodology/approach -Software was developed using the software development life cycle, and was tested by students enrolled in various bachelor degrees at three stages of development within Technology Acceptance Model, action research and design research methodology frameworks, using mixed methods of quantitative and qualitative analysis. Findings -The learning system was generally well-accepted, with usefulness (72 ± 18, mean ± standard deviation, 0-100 visual analogue scale) rated higher (p<0.001) than ease of use (57 ± 22). Ease of use ratings declined across the three versions as modules were added and complexity increased. Students with prior experience with 3D interfaces had higher intention to use the system, and scored higher on identification of anatomical structures. Students with greater kinaesthetic learning preferences tended to rate the system higher. Haptic feedback was consi...

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