DeepPriorCBCT for Low Dose Lung CBCT Reconstruction

A Deep-learning System for Low-Dose CBCT Image Reconstruction: a Stepwise, Multicentre, Early-stage Clinical Validation Study

The goal of this clinical trial is to learn if the DeepPriorCBCT model ensure high-quality CBCT image while reducing CBCT radiation dose. The main questions it aims to answer are:

• Can DeepPriorCBCT reduce CBCT radiation doses?
• Is the image quality of DeepPriorCBCT reconstruction consistent with that of existing clinical reconstruction method? Researchers will compare CBCT images quality reconstruction with DeepPriorCBCT model to CBCT image quality reconstruction with existing clinical protocols to see if DeepPriorCBCT model can improve the CBCT image quality while reducing radiation dose.

Participants will:

• Receive a single low dose (1/6 of existing clinical protocols) CBCT scan
• Receive a single conventional dose CBCT scan

Inclusion Criteria:

1. Participants will receive percutaneous thoracic puncture under the guidance of CBCT during the study period.
2. The participants' medical records containing basic information, medical history, etc are complete.
3. Participants can understand the study's purpose, procedures, potential risks, and benefits, and voluntarily signs a written informed consent form.

Exclusion Criteria:

1. Participants are under the age of 18.
2. Participants are suffering from severe mental illness or cognitive impairment, unable to understand the study and sign.
3. Participants are pregnant or breastfeeding women.
4. Participants are concurrent participating in other programs that affect the results of this study.