CT-based synthetic iodine map generation using conditional denoising diffusion probabilistic model.

ABSTRACT:

Background

Iodine maps, derived from image-processing of contrast-enhanced dual-energy computed tomography (DECT) scans, highlight the differences in tissue iodine intake. It finds multiple applications in radiology, including vascular imaging, pulmonary evaluation, kidney assessment, and cancer diagnosis. In radiation oncology, it can contribute to designing more accurate and personalized treatment plans. However, DECT scanners are not commonly available in radiation therapy centers. Additionally, the use of iodine contrast agents is not suitable for all patients, especially those allergic to iodine agents, posing further limitations to the accessibility of this technology.

Purpose

The purpose of this work is to generate synthetic iodine map images from non-contrast single-

SUBMITTER: Gao Y 

PROVIDER: S-EPMC11489029 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature