Related Experiment Video
Updated: Mar 2, 2026

05:49
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
Published on: February 23, 2024
1.6K
WE-E-213CD-04: CT to Cone-Beam CT Deformable Registration With Simultaneous Intensity Correction
X Zhen1,2,3, H Yan1,2,3, X Gu1,2,3
1Center for Advanced Radiotherapy Technologies and Department of Radiation Medicine and Applied Sciences, University of California San Diego, San Diego, CA.
Medical Physics
|May 19, 2017
Summary
A new algorithm, Deformation with Intensity Simultaneously Corrected (DISC), accurately registers CT and cone-beam CT (CBCT) images. DISC effectively handles CBCT artifacts and intensity inconsistencies for improved medical imaging registration.
Area of Science:
- Medical Imaging
- Image Registration
- Computational Anatomy
Background:
- Cone-beam CT (CBCT) is widely used in radiotherapy for image guidance.
- CBCT images often suffer from artifacts and intensity variations compared to planning CT scans.
- Accurate deformable image registration is crucial for effective image-guided radiotherapy.
Purpose of the Study:
- To develop and validate a robust algorithm for CT to CBCT deformable image registration.
- To address challenges posed by CBCT artifacts and intensity inconsistencies.
- To achieve accurate registration results for improved clinical applications.
Main Methods:
- Proposed a novel algorithm: Deformation with Intensity Simultaneously Corrected (DISC).
- DISC integrates an intensity correction step within the demons registration framework.
- Intensity correction matches image intensity moments within local patches between CT and CBCT.
- Algorithm implemented on GPUs using CUDA for efficient computation.
Main Results:
- DISC effectively registers CT and CBCT images, even in artifact-laden regions.
- The original demons algorithm showed tissue distortion in artifact-affected areas.
- The intensity-corrected CBCT images generated by DISC were artifact-free with similar histogram distributions to the deformed CT.
Conclusions:
- Developed a robust CT to CBCT deformable image registration method.
- The DISC algorithm successfully handles CBCT artifacts and intensity inconsistencies.
- This method yields accurate registration results, enhancing its potential for clinical use.
Related Concept Videos
Computed Tomography
9.2K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.2K
Imaging Studies III: Computed Tomography
495
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
495

