3D Reconstruction from CT Images Using Free Software Tools

Paulo, Soraia Figueiredo; Lopes, Daniel Simões; Jorge, Joaquim

doi:10.1007/978-3-030-61905-3_8

Cited by 1 publication

(3 citation statements)

References 33 publications

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“…As colonoscopy CT images are taken with colon insufflation, and dye contrast is used in preparation for the scan, this process can be done automatically using existing free software [35]. We applied a pipeline based on previous work [36][37][38]. In summary, we used segmentation by global thresholding followed by semi-automatic active contours using ITK-SNAP (http://www.itksnap.org/ (accessed on 25 March 2024)) or 3D Slicer (https: //www.slicer.org/ (accessed on 25 March 2024)).…”

Section: Methodsmentioning

confidence: 99%

“…Several methods exist to estimate the midline. We employed a mesh shrinking technique [37]. Precise positioning and connectivity of these points are crucial to ensuring a smooth and realistic fly-through experience and cybersickness-free navigation.…”

Section: Methodsmentioning

confidence: 99%

“…The colon model was reconstructed from "The Cancer Imaging Archive (TCIA)" (https://www.cancerimagingarchive.net/ (accessed on 25 March 2024)), subject ID: CTC-3105759107, using open-access tools [37]. The 3D model and center line are first reconstructed from the images, then simplified and sanitized.…”

Section: Datamentioning

confidence: 99%

See 2 more Smart Citations

Immersive Virtual Colonography Viewer for Colon Growths Diagnosis: Design and Think-Aloud Study

Serras,

Duchowski,

Nobre

et al. 2024

MTI

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Desktop-based virtual colonoscopy is a proven and accurate process for identifying colon abnormalities. However, it is time-consuming. Faster, immersive interfaces for virtual colonoscopy are still incipient and need to be better understood. This article introduces a novel design that leverages VR paradigm components to enhance the efficiency and effectiveness of immersive analysis. Our approach contributes a novel tool highlighting unseen areas within the colon via eye-tracking, a flexible navigation approach, and a distinct interface for displaying scans blended with the reconstructed colon surface. The path to evaluating and validating such a tool for clinical settings is arduous. This article contributes a formative evaluation using think-aloud sessions with radiology experts and students. Questions related to colon coverage, diagnostic accuracy, and time to complete are analyzed with different user profiles. Although not aimed at quantitatively measuring performance, the experiment provides lessons learned to guide other researchers in the field.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%