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Updated: May 21, 2025

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Projection Embedded Schrödinger Bridge for CT Sparse View Reconstruction.

Yuang Wang^1,2, Pengfei Jin², Siyeop Yoon²

¹Department of Engineering Physics, Tsinghua University, Beijing, China.

Proceedings of Spie--The International Society for Optical Engineering

|May 19, 2025

Summary

This summary is machine-generated.

We developed Projection Embedded Schrödinger Bridge (PESB) for sparse view CT reconstruction. This novel method improves image quality by ensuring data consistency within the generative process, outperforming existing diffusion models.

Keywords:

Computed tomography Schrödinger Bridge diffusion models reconstruction sparse-view

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Area of Science:

Medical Imaging
Computational Imaging
Machine Learning

Background:

Sparse view CT reconstruction is crucial for reducing radiation dose and scan time.
Existing methods often struggle with data consistency and image artifacts.

Purpose of the Study:

To introduce a novel generative model for sparse view CT reconstruction.
To improve image quality and data consistency in low-dose CT.

Main Methods:

Proposed Projection Embedded Schrödinger Bridge (PESB) model.
Constructed Schrödinger Bridges between FBP and clean image distributions.
Embedded projection data into marginal conditions for inherent data consistency.

Main Results:

PESB demonstrated superior performance in CT sparse view reconstruction.
Outperformed several existing diffusion-based reconstruction models.
Validated effectiveness through experimental results.

Conclusions:

PESB effectively addresses data consistency in sparse view CT reconstruction.
Offers a promising approach for high-quality, low-dose CT imaging.
Represents an advancement in generative models for medical image reconstruction.