Fast reconstruction of 3D volumes from 2D CT projection data with GPUs

GPU-based fast cone beam CT reconstruction from undersampled and noisy projection data via total variation.

PURPOSE Cone-beam CT (CBCT) plays an important role in image guided radiation therapy (IGRT). However, the large radiation dose from serial CBCT scans in most IGRT procedures raises a clinical concern, especially for pediatric patients who are essentially excluded from receiving IGRT for this reason. The goal of this work is to develop a fast GPU-based algorithm to reconstruct CBCT from undersa...

3D shape and texture morphing using 2D projection and reconstruction

We present an algorithm for morphing shape and view-dependent texture that utilizes an unstructured lumigraph representation to (1) gracefully handle topological changes, (2) create plausible appearance transformations, and (3) provide user control independent from the underlying mesh structure. It works by reducing the otherwise complex problem of a 3D shape and material morph into multiple si...

3D reconstruction from 2D crystal image and diffraction data.

Electron crystallography of 2D protein crystals can determine the structure of membrane embedded proteins at high resolution. Images or electron diffraction patterns are recorded with the electron microscope of the frozen hydrated samples, and the 3D structure of the proteins is then determined by computer data processing. Here we introduce the image-processing algorithms for crystallographic F...

3D Tumor Shape Reconstruction from 2D Bioluminescence Images and Registration with CT Images

This paper introduces a novel and efficient algorithm for reconstructing the 3D shapes of tumors from a set of 2D bioluminescence images which are taken by the same camera but after continually rotating the animal by a small angle. The method is efficient and robust enough to be used for analyzing the repeated imaging of a same animal transplanted with gene marked cells. There are several steps...

3D-2D registration of histological images with micro CT volumes using Chamfer Matching and simulated annealing