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Related Experiment Video

Updated: May 26, 2026

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

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Published on: October 13, 2023

[Three-dimensional low-dose CT volume reconstruction based on non-local weights optimization and GPU acceleration].

Xi-le Zhang¹, Ling-ling Tian, Jing Huang

¹Institute of Medical Information and Technology, Southern Medical University, Guangzhou, China. zxln@fimmu.com

Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University

|December 28, 2011

Summary

This study introduces an improved low-dose computed tomography (CT) image reconstruction method. It enhances image quality by using prior normal-dose scans to reduce noise and preserve details, benefiting tumor surveillance and radiotherapy planning.

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Last Updated: May 26, 2026

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

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Published on: October 13, 2023

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3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Area of Science:

Medical Imaging
Radiology
Image Processing

Context:

Repeated computed tomography (CT) scans for tumor surveillance and radiotherapy planning raise concerns about cumulative x-ray radiation dose.
Optimizing image quality in low-dose CT (LDCT) is crucial for accurate diagnosis and treatment planning while minimizing radiation exposure.

Purpose:

To develop and evaluate a novel low-dose CT image reconstruction method that leverages information from previous normal-dose scans.
To improve the image quality of LDCT scans by reducing noise and artifacts while preserving essential structural details.

Summary:

The proposed method enhances the non-local means (NLM) algorithm by incorporating redundancy from prior normal-dose CT volumes.
3D registration aligns low-dose and normal-dose volumes to minimize structural differences, enabling optimized non-local weight construction.
Graphics Processing Units (GPUs) are employed to accelerate the computational efficiency of the reconstruction process.

Impact:

The method significantly improves LDCT image quality compared to the standard NLM approach.
Demonstrates effective suppression of noise-induced artifacts while maintaining critical edge information in reconstructed images.
Offers a promising solution for enhancing diagnostic accuracy in low-dose CT imaging for oncology applications.