# efficientLDCT

**Repository Path**: smn568/efficientLDCT

## Basic Information

- **Project Name**: efficientLDCT
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-04-09
- **Last Updated**: 2025-04-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# efficient_LDCT

An efficient sinogram-domain fully convolutional interpolation network for sparse-view CT reconstruction
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#Summary：

Inspired by super-resolution networks for natural images, the proposed model interpolates projection data directly in the sinogram domain with a fully convolutional neural network that consists of only four convolution layers. 
The proposed model can be used directly for sparse-view CT reconstruction by concatenating the classic filtered back-projection (FBP) module, or it can be incorporated into existing dual-domain reconstruction frameworks as a generic sinogram-domain module.

#he code was written based on python 3.8, tensorflow 2.4.