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Related Concept Videos

Imaging Studies VI: Voiding Cystourethrography and Cystography01:22

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Voiding Cystourethrography (VCUG) and Cystography are specialized radiographic procedures used to examine the structure and function of the bladder and urethra.Voiding Cystourethrography (VCUG)A Voiding Cystourethrogram (VCUG) is a diagnostic imaging procedure that assesses the anatomy and function of the lower urinary tract. It focuses on the bladder, bladder neck, and urethra, helping detect abnormalities such as vesicoureteral reflux (VUR)—the backward or reverse flow of urine into the...
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Photoacoustic Cystography
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Image-based 3D surface approximation of the bladder using structure-from-motion for enhanced cystoscopy based on

Quentin Péntek1, Simon Hein2, Arkadiusz Miernik2

  • 1Fraunhofer Institute for Physical Measurement Techniques, Heidenhofstraße 8, 79110 Freiburg, Germany, Phone: +49 761 8857-704.

Biomedizinische Technik. Biomedical Engineering
|December 4, 2017
PubMed
Summary
This summary is machine-generated.

This study presents a new method for creating 3D bladder models from endoscopic videos, improving follow-up for bladder cancer survivors. The technique enhances cystoscopic documentation for detecting cancer recurrence.

Keywords:
bundle adjustmentcalibrationendoscopymonocular cameraphantom

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Area of Science:

  • Medical Imaging
  • Computer Vision
  • Urology

Background:

  • Bladder cancer recurrence is common after resection, necessitating long-term surveillance via cystoscopy.
  • Current cystoscopy has limitations in providing a comprehensive view of the bladder and tumor locations.
  • 3D bladder modeling offers potential for improved documentation and recurrence detection.

Purpose of the Study:

  • To develop and validate a method for 3D reconstruction of the urinary bladder from uncalibrated, monocular endoscopic videos.
  • To overcome challenges in 3D bladder reconstruction, including limited field of view, image distortion, and occlusion.

Main Methods:

  • Utilized structure-from-motion (SfM) algorithms for 3D model generation.
  • Extracted frames from endoscopic videos and performed distortion correction via calibration.
  • Generated a sparse surface approximation of the bladder lining from corrected frames.

Main Results:

  • Successfully reconstructed a 3D model from endoscopic video of a bladder phantom.
  • The model covered a significant portion of the object.
  • Achieved an average reprojection error of 1.15 pixels and 99.4% relative accuracy.

Conclusions:

  • The proposed SfM-based method is effective for 3D bladder reconstruction from endoscopic videos.
  • This technique can enhance cystoscopic documentation for bladder cancer surveillance.
  • The method shows promise for improving the detection of bladder cancer recurrence.