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
|
Patient-Specific Replan Probability Prediction for Radiotherapy Treatment
Application
A replan-probability-constrained optimization algorithm for patient-specific treatment plan optimization to reduce replan rates in radiation therapy.
Key Benefits
Ability to predict if a head and neck cancer patient will need a re-plan.
Determines the statistical significance of dosimetry and clinical features.
Market Summary
Intensity-modulated...
Published: 4/23/2024
Contributor(s): Jun Zhou, Mark McDonald, Tian Liu, Chih-Wei Chang, Duncan Bohannon
|
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: 4/23/2024
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: 4/23/2024
Contributor(s): Xiaofeng Yang, Tian Liu
|
Magnetic Resonance Based Pseudo-Computed Tomography (CT)
Application
Software for converting magnetic resonance (MR) images into pseudo-computed tomography (CT) images.
Key Benefits
Reduces patient exposure to radiation from X-rays.
Simplifies diagnostic process by eliminating CT step.
Reduces cost associated with performing both CT and MR.
Eliminates misalignment errors associated with combined CT...
Published: 4/23/2024
Contributor(s): Xiaofeng Yang, Yang Lei, Tian Liu, Hui-Kuo Shu, Peter Rossi
|