Quantitative Multi Energy Computed Tomography (MECT) for the Characterization of Composition and Density Maps of Artificial and Human Materials in Proton Therapy
Application
A novel multi-energy computed tomography (MECT) simulation framework to determine the densities of human tissues and material compositions of implant material maps for proton Monte Carlo does performs the calculation.
Key Benefits
Provides a multi-image computer tomography based alternative methodology of providing complete maps...
Published: 7/28/2023
Contributor(s): Liyong Lin, Chih-Wei Chang, Tiezhi Zhang, Shuai Leng, Serdar Charyyev, Xiaofeng Yang, Joseph (Joe) Harms
|
Multiple Organ Localization and Segmentation for Automatic Treatment Planning
Application
A software for automatic detecting and segmenting tumors and Organs at Risk (OAR) in medical images.
Key Benefits
Automatically detect and segment tumors and OARs.
Can detect multiple organs and generate their contour maps.
Market Summary
Radiation therapy (RT) is one of the most common treatment modalities for cancer and...
Published: 7/28/2023
Contributor(s): Xiaofeng Yang, Yang Lei, Tian Liu
|
CBCT-Guided Adaptive Photon and Proton Radiotherapy
Application
Generating synthetic MRI images from CBCT images with deep learning.
Key Benefits
Generate high contrast MRI images from cone-beam CT images.
High quality, high contrast images to enable precise radiation treatment.
Market Summary
Radiation therapy (RT) is one of the most common treatment modalities for cancer and is used...
Published: 7/28/2023
Contributor(s): Xiaofeng Yang, Yang Lei, Tian Liu, Jun Zhou
|
Proton Computed Radiography and Tomography of Surgical Implant Patients
Application
A novel proton counting detector and accompanying methodology to characterize the dimensions of an artificial implant and human tissues.
Key Benefits
Provides an alternative way of counting protons utilizing most probable energy as a unit.
Generates material maps of artificial implants and human tissues required for Monte Carlo (MC)...
Published: 3/1/2024
Contributor(s): Liyong Lin, Serdar Charyyev, Chih-Wei Chang, Tiezhi Zhang, Xiaofeng Yang, Joseph (Joe) Harms
|
Software to Correct 4D CT Scan Image Distortion
Application
A software that employs unsupervised deep learning to correct 4D CT scan image distortion due to respiratory motions.
Key Benefits
Allows the generation of highly precise, motion-corrected 4D CT images
Market Summary
CT scans usually allow radiation oncologists to contour a tumor’s area and position. However, abdominal motions...
Published: 7/28/2023
Contributor(s): Yang Lei, Tian Liu, Xiaofeng Yang, Yabo Fu
|
Low Dose PET/MRI and PET/CT Imaging
Application
A deep-learning based method for generating diagnostic-quality PET images from lower quality images to reduce scanning time and radiation exposure
Key Benefits
Generates a high quality synthetic high-count PET image from low-count PET image or CT scan image
Reduces radiation exposure to patient
Reduces scanning time
Market Summary
Positron...
Published: 7/28/2023
Contributor(s): Xiaofeng Yang, Yang Lei, Hui Mao, Tian Liu, Jonathon Nye, Xue (Xueyuan) Dong
|
Software Capable of Generating Different Angles Based on Singular MRI
Application
A software for multimodal MR (magnetic resonance) image-to-image translations using only a single MRI (magnetic resonance image) modality.
Key Benefits
Can generate any arbitrary MRI from any other arbitrary MRI.
Potential clinical tool for fast multimodal MR image generation with a single scan.
Reduce scan time, increase patient...
Published: 7/28/2023
Contributor(s): Xiaofeng Yang, Yang Lei, Hui Mao, Tian Liu
|
Automated Multiple Needle Detection For Brachytherapy
Application
Workflow to detect multiple needles in three-dimensional ultrasound images.
Key Benefits
Does not require specialized ultrasound pulses or hardware.
Detects multiple needles with low error.
Market Summary
Many minimally invasive procedures require inserting a needle to access a target site inside the patient body, avoiding the requirement...
Published: 1/10/2024
Contributor(s): Xiaofeng Yang, Tian Liu, Yupei Zhang, Pretesh Patel
|
Attenuation Correction in Quantitative PET Imaging
Application
Software to perform attenuation correction in quantitative PET imaging.
Key Benefits
Improves quantification accuracy and reliability.
Applicable to PET data collected on hybrid platform (PET/CT or PET/MRI).
Reduced radiation exposure.
No need of additional scans.
Market Summary
Positron-Emission Tomography (PET) is a nuclear...
Published: 7/28/2023
Contributor(s): Yang Lei, Xiaofeng Yang, Jonathon Nye, Hui Mao, Tian Liu, Tonghe Wang, Kristin Higgins
|
Patch-Based Label Fusion for Automatic Prostate Segmentation in MR Images
Application
An accurate automated method for prostate segmentation in magnetic resonance imaging (MRI).
Key Benefits
Yields faster results.
Produces less subjective results compared to manual method.
Market Summary
Cancer indications have provided increased utility for MRI machines, since much of the cost associated with cancer treatment is...
Published: 11/27/2023
Contributor(s): Xiaofeng Yang, Tian Liu
|