Impact of image-guided surgery on surgeons' performance: a literature review

Luz, María; Strauß, Gero; Manzey, Dietrich

doi:10.1504/ijhfe.2016.083516

Cited by 20 publications

(10 citation statements)

References 42 publications

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“…13 In conclusion, the widely used IGS contributes to faster, safer, and more effective surgical procedures and has a positive effect on surgical outcome. 14-16…”

Section: Introductionmentioning

confidence: 99%

Toward Holographic-Guided Surgery

et al. 2018

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The implementation of augmented reality (AR) in image-guided surgery (IGS) can improve surgical interventions by presenting the image data directly on the patient at the correct position and in the actual orientation. This approach can resolve the switching focus problem, which occurs in conventional IGS systems when the surgeon has to look away from the operation field to consult the image data on a 2-dimensional screen. The Microsoft HoloLens, a headmounted AR display, was combined with an optical navigation system to create an AR-based IGS system. Experiments were performed on a phantom model to determine the accuracy of the complete system and to evaluate the effect of adding AR. The results demonstrated a mean Euclidean distance of 2.3 mm with a maximum error of 3.5 mm for the complete system. Adding AR visualization to a conventional system increased the mean error by 1.6 mm. The introduction of AR in IGS was promising. The presented system provided a solution for the switching focus problem and created a more intuitive guidance system. With a further reduction in the error and more research to optimize the visualization, many surgical applications could benefit from the advantages of AR guidance.

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“…13 In conclusion, the widely used IGS contributes to faster, safer, and more effective surgical procedures and has a positive effect on surgical outcome. 14-16…”

Section: Introductionmentioning

confidence: 99%

Toward Holographic-Guided Surgery

et al. 2018

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“…In a study of IGS systems used for neurosurgery, the use of IGS systems decreased the time needed for surgery by providing surgeons with superior orientation to anatomical structures. 49 The authors are not aware of a study conducted Journal of Medical Imaging 015003-9 Jan-Mar 2018 • Vol. 5 (1) in the context of breast surgery that measures the impact of surgery duration when using an image guidance system.…”

Section: Discussionmentioning

confidence: 99%

Toward quantitative quasistatic elastography with a gravity-induced deformation source for image-guided breast surgery

et al. 2018

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Biomechanical breast models have been employed for applications in image registration and diagnostic analysis, breast augmentation simulation, and for surgical and biopsy guidance. Accurate applications of stress-strain relationships of tissue within the breast can improve the accuracy of biomechanical models that attempt to simulate breast deformations. Reported stiffness values for adipose, glandular, and cancerous tissue types vary greatly. Variations in reported stiffness properties have been attributed to differences in testing methodologies and assumptions, measurement errors, and natural interpatient differences in tissue elasticity. Therefore, the ability to determine patient-specific breast tissue properties would be advantageous for these procedural applications. While some elastography methods are not quantitative and others do not measure material properties under deformation conditions that are appropriate to the application of concern, in this study, we developed an elasticity estimation method that is performed using deformations representative of supine therapeutic procedures. More specifically, reconstruction of mechanical properties appropriate for the standard-of-care supine lumpectomy was performed by iteratively fitting two anatomical images before and after deformations taking place in the supine breast configuration. The method proposed is workflow-friendly, quantitative, and uses a noncontact, gravity-induced deformation source.

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“…Both artificial enlargement of the sample size and the underestimation of variance reasoned by the lack of data aggregation make statistical testing considerably more liberal, i.e. statistically significant results are obtained although no true effects exist [LSM16].…”

Section: Guidelines For the Evaluation Of Medical Visualizationmentioning

confidence: 99%

Guidelines for Quantitative Evaluation of Medical Visualizations on the Example of 3D Aneurysm Surface Comparisons

Saalfeld

Luz

Berg

et al. 2017

Computer Graphics Forum

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Medical visualizations are highly adapted to a specific medical application scenario. Therefore, many researchers conduct qualitative evaluations with a low number of physicians or medical experts to assess the benefits of their visualization technique. Although this type of research has advantages, it is difficult to reproduce and can be subjectively biased. This makes it problematic to quantify the benefits of a new visualization technique. Quantitative evaluation can objectify research and help bringing new visualization techniques into clinical practice. To support researchers, we present guidelines to quantitatively evaluate medical visualizations, considering specific characteristics and difficulties. We demonstrate the adaptation of these guidelines on the example of comparative aneurysm surface visualizations. We developed three visualization techniques to compare aneurysm volumes. The visualization techniques depict two similar, but not identical aneurysm surface meshes. In a user study with 34 participants and five aneurysm data sets, we assessed objective measures (accuracy and required time) and subjective ratings (suitability and likeability). The provided guidelines and presentation of different stages of the evaluation allow for an easy adaptation to other application areas of medical visualization.

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Impact of image-guided surgery on surgeons' performance: a literature review

Cited by 20 publications

References 42 publications

Toward Holographic-Guided Surgery

Toward Holographic-Guided Surgery

Toward quantitative quasistatic elastography with a gravity-induced deformation source for image-guided breast surgery

Guidelines for Quantitative Evaluation of Medical Visualizations on the Example of 3D Aneurysm Surface Comparisons

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