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Suspicious Object Detection in Medical Images
Background:
Ultrasound and other medical imaging devices generate images by scanning biological structures and/or tissues of patients. These images aid in the diagnosis of serious illnesses such as cancer. Issues such poor quality and clarity of scanned images or conditions associated with the patient during scans or skill of the technician can...
Published: 7/28/2022
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Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Diagnostics, Technology Classifications > Medical Imaging, Technology Classifications > Healthcare & Life Sciences
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Correcting Image Artifacts in Medical Images
Background:
Ultrasound and other medical imaging technologies remove noise from scanned images by combining the scanned images in an averaging process that reduces and/or eliminates noise inherent in an imaging session. An artifact of the averaging process is blurring effects introduced to the resulting image which diminish the chances of a correct...
Published: 7/28/2022
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Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Medical Imaging, Technology Classifications > Diagnostics, Technology Classifications > Healthcare & Life Sciences
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Heat Map Medical Image Diagnostic
Background:
Ultrasound and other medical imaging devices scan biological structures or tissues of a patient to aid in the diagnosis of serious illnesses such as cancer. Often, clarity and quality of scanned images are suspect due to conditions associated with the patient or the skill of the technician capturing the scanned image and can lead to incorrect...
Published: 7/28/2022
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Inventor(s): Richard Mammone
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Diagnostics, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging
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Correcting Image Distortion in Captured Medical Images
Background:
There are many instances where quick and easy interpretation of a medical images, such as an x-ray, CT scan, MRI or ultrasound is useful. In these instances, the digital transfer of medical images between systems, providers, or users is difficult and time consuming due to the lack of interoperability of software protocols between imaging...
Published: 7/28/2022
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Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging, Technology Classifications > Diagnostics
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Correcting Flawed Photograph Effects in Captured Medical Images
Background:
Ultrasound and other medical imaging devices scan biological structures or tissues of a patient to aid in the diagnosis of serious illnesses such as cancer. Clarity and poor quality of scanned images due to conditions associated with the patient at time of image capture, or the skill of the technician capturing the scanned image can lead...
Published: 7/28/2022
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Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Diagnostics, Technology Classifications > Medical Imaging
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Architecture for Generating Synthetic Medical Data
Learning without sharing medical images
Segmentation using synthetic images
Summary:
Large volumes of data are necessary to train machine learning (ML) algorithms (especially for medical image analysis.) HIPAA and other privacy regulations make it difficult to obtain sufficiently large volumes of disease related images (e.g., from different...
Published: 12/8/2021
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Inventor(s): Qi Chang, Dimitris Metaxas, Hui Qu, Yikai Zhang
Keywords(s): Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging, Technology Classifications > Artificial Intelligence & Machine Learning
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Static and Dynamic MRI Reconstruction and Segmentation
Channel-wise Attention Network Model (MICCAN)
Motion Guided Dynamic Reconstruction (MODRN)
Joint Reconstruction and Segmentation
Summary:
Magnetic resonance imaging (MRI) technology is a widely used imaging technology but has several drawbacks including: the amount of time necessary for a scan, the requirement for a breath hold when...
Published: 12/8/2021
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Inventor(s): Dimitris Metaxas, Qiaoying Huang
Keywords(s): Cardiovascular, Imaging
Category(s): Technology Classifications > Physical Sciences & Engineering, Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Medical Imaging
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Methods for Robust, Accurate and Real-time Localization of Needles in 2D and 3D Ultrasound
Invention Summary:Ultrasound imaging is commonly used to guide the placement of needles for tissue biopsies, catheter insertions, drainages, and anesthesia. However, visual artifacts make it difficult to locate the needle in cases of steep insertion angles (40-80 degrees) and depths (9 cm). Hence, there is a need for a method for real-time needle detection....
Published: 12/8/2021
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Inventor(s): John Nosher, Cosmas Mwikirize, Ilker Hacihaliloglu
Keywords(s): Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging, Technology Classifications > Artificial Intelligence & Machine Learning
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Spatial Dopant Separation using Core-Shell Architecture For Upconversion Luminescent Enhancement in the Erbium-Doped System
Invention Summary:
Upconversion nanoparticles (UCNPs) have gained increasing attention for various biomedical applications due to their high photostability, low autofluorescent background, and deep tissue penetration; however, UCNPs also suffer from low emission intensities due to undesirable energy back-transfer. Further, the use of high-power density...
Published: 7/28/2022
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Inventor(s): Ki-Bum Lee, Hudifah Rabie, Nicholas Pasquale
Keywords(s): Imaging, Sensors & Probes
Category(s): Technology Classifications > Physical Sciences & Engineering, Technology Classifications > Nanotechnology, Technology Classifications > Medical Imaging
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Methods for Robust, Accurate and Real-time Localization of Needles in 2D and 3D Ultrasound
Invention Summary:
Ultrasound imaging is commonly used to guide the placement of needles for tissue biopsies, catheter insertions, drainages, and anesthesia. However, visual artifacts make it difficult to locate the needle in cases of steep insertion angles (40-80 degrees) and depths (9 cm). Hence, there is a need for a method for real-time needle...
Published: 7/28/2022
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Inventor(s): John Nosher, Ilker Hacihaliloglu, Cosmas Mwikirize
Keywords(s): Imaging
Category(s): Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Medical Imaging
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