Added Value of Computed Tomography Virtual Intravascular Endoscopy in the Evaluation of Coronary Arteries with Stents or Plaques

Wu, Patricia Wanping; Tsay, Pei-Kwei; Sun, Zhonghua; Peng, Syu‐Jyun; Lee, Chia-Yen; Hsu, Ming-Yi; Ko, Yu-Shien; Hsieh, I‐Chang; Wen, Ming‐Shien; Wan, Yung‐Liang

doi:10.3390/diagnostics12020390

Cited by 4 publications

(1 citation statement)

References 35 publications

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“…Analyze 14.0 (AnalyzeDirect, Inc., Lexana, KS, USA) was originally used to segment data on a laptop operating Windows 7 with an integrated graphics card. Analyze 14.0 is a program often used by academics involved in biomedical research and is capable of performing image post-processing, visualisation, and segmentation [ 15 , 16 , 17 ]. However, segmentation with Analyze 14.0 was difficult and unnecessarily time consuming due to relying to a great extent on manual input for image segmentation.…”

Section: Methodsmentioning

confidence: 99%

Enhanced Visualisation of Normal Anatomy with Potential Use of Augmented Reality Superimposed on Three-Dimensional Printed Models

et al. 2022

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Anatomical knowledge underpins the practice of many healthcare professions. While cadaveric specimens are generally used to demonstrate realistic anatomy, high cost, ethical considerations and limited accessibility can often impede their suitability for use as teaching tools. This study aimed to develop an alternative to traditional teaching methods; a novel teaching tool using augmented reality (AR) and three-dimensional (3D) printed models to accurately demonstrate normal ankle and foot anatomy. An open-source software (3D Slicer) was used to segment a high-resolution magnetic resonance imaging (MRI) dataset of a healthy volunteer ankle and produce virtual bone and musculature objects. Bone and musculature were segmented using seed-planting and interpolation functions, respectively. Virtual models were imported into Unity 3D, which was used to develop user interface and achieve interactability prior to export to the Microsoft HoloLens 2. Three life-size models of bony anatomy were printed in yellow polylactic acid and thermoplastic polyurethane, with another model printed in white Visijet SL Flex with a supporting base attached to its plantar aspect. Interactive user interface with functional toggle switches was developed. Object recognition did not function as intended, with adequate tracking and AR superimposition not achieved. The models accurately demonstrate bony foot and ankle anatomy in relation to the associated musculature. Although segmentation outcomes were sufficient, the process was highly time consuming, with effective object recognition tools relatively inaccessible. This may limit the reproducibility of augmented reality learning tools on a larger scale. Research is required to determine the extent to which this tool accurately demonstrates anatomy and ascertain whether use of this tool improves learning outcomes and is effective for teaching anatomy.

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Section: Methodsmentioning

confidence: 99%

Enhanced Visualisation of Normal Anatomy with Potential Use of Augmented Reality Superimposed on Three-Dimensional Printed Models

et al. 2022

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Diagnostic performance of the quantitative flow ratio and CT-FFR for coronary lesion-specific ischemia

Han,

Liang,

Han

et al. 2024

Sci Rep

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Cardiovascular computed tomography in cardiovascular disease: An overview of its applications from diagnosis to prediction

SUN

2024

Journal of Geriatric Cardiology

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Cardiovascular computed tomography angiography (CTA) is a widely used imaging modality in the diagnosis of cardiovascular disease. Advancements in CT imaging technology have further advanced its applications from high diagnostic value to minimising radiation exposure to patients. In addition to the standard application of assessing vascular lumen changes, CTA-derived applications including 3D printed personalised models, 3D visualisations such as virtual endoscopy, virtual reality, augmented reality and mixed reality, as well as CT-derived hemodynamic flow analysis and fractional flow reserve (FFRCT) greatly enhance the diagnostic performance of CTA in cardiovascular disease. The widespread application of artificial intelligence in medicine also significantly contributes to the clinical value of CTA in cardiovascular disease. Clinical value of CTA has extended from the initial diagnosis to identification of vulnerable lesions, and prediction of disease extent, hence improving patient care and management. In this review article, as an active researcher in cardiovascular imaging for more than 20 years, I will provide an overview of cardiovascular CTA in cardiovascular disease. It is expected that this review will provide readers with an update of CTA applications, from the initial lumen assessment to recent developments utilising latest novel imaging and visualisation technologies. It will serve as a useful resource for researchers and clinicians to judiciously use the cardiovascular CT in clinical practice.

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Added Value of Computed Tomography Virtual Intravascular Endoscopy in the Evaluation of Coronary Arteries with Stents or Plaques

Cited by 4 publications

References 35 publications

Enhanced Visualisation of Normal Anatomy with Potential Use of Augmented Reality Superimposed on Three-Dimensional Printed Models

Enhanced Visualisation of Normal Anatomy with Potential Use of Augmented Reality Superimposed on Three-Dimensional Printed Models

Diagnostic performance of the quantitative flow ratio and CT-FFR for coronary lesion-specific ischemia

Cardiovascular computed tomography in cardiovascular disease: An overview of its applications from diagnosis to prediction

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