Construction of extended 3D field of views of the internal bladder wall surface: a proof of concept

TL;DR

This paper presents a novel 3D image mosaicing algorithm guided by 2D cystoscopic video registration, enabling textured 3D views of the bladder wall for improved diagnosis and treatment, demonstrated on phantoms and real tissues.

Contribution

The study introduces a minimally modified cystoscope-based method for constructing textured 3D bladder wall mosaics using image registration and 3D surface data.

Findings

Successful construction of textured 3D bladder wall surfaces

Quantitative assessment shows accurate registration and mosaicing

Potential for improved clinical diagnosis and follow-up

Abstract

3D extended field of views (FOVs) of the internal bladder wall facilitate lesion diagnosis, patient follow-up and treatment traceability. In this paper, we propose a 3D image mosaicing algorithm guided by 2D cystoscopic video-image registration for obtaining textured FOV mosaics. In this feasibility study, the registration makes use of data from a 3D cystoscope prototype providing, in addition to each small FOV image, some 3D points located on the surface. This proof of concept shows that textured surfaces can be constructed with minimally modified cystoscopes. The potential of the method is demonstrated on numerical and real phantoms reproducing various surface shapes. Pig and human bladder textures are superimposed on phantoms with known shape and dimensions. These data allow for quantitative assessment of the 3D mosaicing algorithm based on the registration of images simulating bladder textures.