ILATO Project: Fusion of Optical Surface Models and Volumetric CT Data

TL;DR

The ILATO project aims to improve limited angle CT imaging by integrating optical surface models with volumetric CT data, addressing challenges in data registration to enhance image quality and reduce scan times.

Contribution

This work introduces a method for integrating optical surface scans with CT data to improve reconstruction in limited angle tomography, highlighting registration techniques between different imaging modalities.

Findings

Optical surface models help define object boundaries in CT reconstruction.

Registration of optical and CT data remains a key challenge.

The setup and methods for data integration are discussed in detail.

Abstract

Project ILATO focuses on Improving Limited Angle computed Tomography by Optical data integration in order to enhance image quality and shorten acquisition times in X-ray based industrial quality inspection. Limited angle computed tomography is indicated whenever specimen dimensions exceed cone beam limits or the object is impenetrable from certain angles. Thus, acquiring only a subset of a full circle CT scan poses problems for reconstruction algorithms due to incomplete data which introduces blurred edges and other artifacts. To support volumetric data reconstruction algorithm a surface mesh of the object obtained via structured light optical scan acts as a mask defining boundaries of the reconstructed image. The registration of optically acquired surfaces with data acquired from computed tomography is our current challenge. This article presents our setup, the methods applied and discusses the problems arising from registration of data sets created with considerably different imaging techniques.