Back to search

Article

CBCT-based synthetic CT generation using a hybrid approach for adaptive radiotherapy of nasopharyngeal carcinoma

2023-01-20

Abstract excerpt

<h4>Objective: </h4> This study aims to utilize a hybrid approach of phantom correction and deep learning for synthesized CT (sCT) images generation based on cone-beam CT (CBCT) images for nasopharyngeal carcinoma (NPC). <h4>Methods:</h4> A total of 52 CBCT/CT paired images of NPC patients were used for training (41), validation (11) datasets. Hounsfield Units (HU) of the CBCT images was corrected by a commercial...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
096cd50c-b301-52d5-a178-ea928abe99fb
DOI
10.21203/rs.3.rs-2484320/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
CBCT-based synthetic CT generation using a hybrid approach for adaptive radiotherapy of nasopharyngeal carcinomaDOI 10.21203/rs.3.rs-2484320/v1
Select a neighboring publication to make it the new centre.