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Automated Histological Image Processing tool for Identifying and Quantifying Tissue Calcification

Researchers at UCI have developed a method of identifying, quantifying, and visualizing tissue with calcification. The image processing tool can automatically characterize calcium deposits in CT images histological tissue, especially when it has accumulated in unusual places in the body.

Silicon Nanocrystals for Photon Up/ Down-Conversion

Profs. Ming Lee Tang and Lorenzo Mangolini from the University of California, Riverside have developed a method for synthesizing chemically functionalized non-toxic silicon nanocrystals. This technology works by producing silicon NCs with non-thermal plasma synthesis which are then functionalized with triplet acceptors to produce photon upconversion systems. This technology stands out among other NC-based triplet-fusion upconversion systems because when incorporated into aqueous micelles, this system functions indefinitely under anaerobic conditions and for tens of minutes upon exposure to oxygen. Fig. 1 Schematic of the aqueous photon upconverting micelles.  

Mapping Ciliary Activity Using Phase Resolved Spectrally Encoded Interferometric Microscopy

Researchers at UCI have developed an imaging technique that can monitor and measure small mobile structures called cilia in our airways and in the oviduct. This invention will serve as a stepping stone for study of respiratory diseases, oviduct ciliary colonoscopy and future clinical translations.

Intraprocedural Grid Localization System

Brief description not available

Non-invasive Head and Neck Cancer Screening Probe based on Optical Coherence Tomography

Researchers at the Beckman Laser Institute have developed a non-invasive fiber optic probe capable of imaging and detecting cancerous tissue within the head and neck regions. The probe also helps to guide surgeons in effectively performing tumor removal.

Polarization-Sensitive Optical Coherence Tomography Using a Polarization-Insensitive Detector

A polarization-sensitive optical coherence tomography (PS-OCT) is a common approach to non-invasively imaging in biomedical applications. The inventors have come up with a new way of creating a PS-OCT that is cheaper and simpler.

Novel Reflective Microscope Objective Lens For All Colors

The researchers at the University of California, Irvine (UCI) have developed a microscopic lens, made entirely of reflective curved surface, where all the light wavelengths are focused at the same time for better resolution and larger field view of the image.

Low-Dose Ct Perfusion Technique

Coronary atherosclerosis (a thickening of the arterial wall) is correlated to the occurrence of cardiac events; therefore, its correct and early diagnosis is paramount in the prevention and treatment of coronary artery disease. Researchers at UCI have developed an innovative method for assesses coronary artery stenosis and microvascular disease that is both accurate and non-invasive.

The Uro-Wheel

Though guidewires are a common part of many endoscopic procedures as they help the scope reach its desired organ successfully, they are often difficult to maneuver due to their flexible and slippery construction. To combat this and assist physicians in rapid and effective endoscopic placement, researchers at UCI have developed a novel device which, by a simple turn of a finger wheel, allows the guidewires to be automatically and controllably advanced and retracted.

Early Detection Of Diabetic And Decubitus Ulcers

Pressure ulcers and diabetic foot ulcers are a pervasive and expensive health care challenge. They are debilitating and can significantly impair quality of life, as they are associated with loss of pain sensation and disordered circulation. The gold standard to preventing pressure ulcers include regular patient  turning/repositioning. However, there are relatively few tools for molecular-level insight into when to reposition and who to reposition.

Fluorescence Lifetime Imaging Microscopy Device for Antibiotic Susceptibility Testing (FLIM-AST)

Antibiotic resistant bacterial infection is a global public health threat leading to prolonged hospital stays, higher medical costs, and increased mortality rates. UCI researchers developed a device to rapidly determine antibiotic susceptibility of bacteria from patient samples to determine more effective antibiotic treatments.

Wireless and Programmable Recording and Stimulation of Deep Brain Activity in Freely Moving Humans Immersed in Virtual, Augmented or Real-World Environments

UCLA researchers in the Department of Psychiatry and Biobehavioral Sciences have a designed a lightweight, highly mobile deep brain activity measuring platform that elucidates neural mechanisms for neuropsychiatric disorders.

High Resolution Laser Speckle Imaging of Blood Flow

Prof. Guillermo Aguilar and his colleagues from the University of California, Riverside have developed a new approach to laser speckle imaging, called Laser Speckle Optical Flow Imaging (LSOFI) to be used for autonomous blood vessel detection and as a qualitative tool for blood flow visualization. LSOFI works by capturing the speckle displacement caused by different physical behavior and use the data to create a mapped image. It has been shown that LSOFI has many advantages over LSCI methods both in temporal and spatial resolution. Namely, LSOFI can be used to produce higher resolution images compared with the LSCI method using less frames. Combining this technology with Graphics Processing Unit (GPU) computation increases the speed of LSOFI, so GPU enabled LSOFI shows potential to create a fast and fully functional quasi-real time blood flow imaging system.  Fig 1: Comparison of blood flow imaging techniques applied to the raw image. The shown results are for Laser Speckle Optical Flow Imaging (LSOFI) using the Farneback Optical Flow algorithm, traditional Laser Speckle Imaging (LSI), and Temporal Frame Averaging (sLASCA).  

Imaging Modalities and Methods for Enhanced, Label-free Histopathology During Surgery

Researchers at the University of California, Davis have developed new techniques capable of producing near real-time tissue analysis with quality and accuracy attributes comparable to traditional Haemotoxylin and Eosin (H&E) histopathology methods.

Detecting Cardiovascular Disease Using Noninvasive Imaging of the Eye

Cardiovascular disease is the leading cause of mortality and disability worldwide. It is also prevalent, affecting 9% of the population over 20 years of age. Patients with cardiovascular risk factors can reduce their risk of developing catastrophic cardiovascular events such as heart attack and stroke through lifestyle modification and medications. Unfortunately for many, the disease may go undiagnosed until the occurrence of serious events. Identifying biomarkers of subclinical ischemia can help identify patients with occult cardiovascular disease.

Blood Flow Velocimetry via Data Assimilation of Medical Imaging

Cardiovascular disease (CVD) is a tremendous burden on the population in terms of morbidity and mortality, as well as on the healthcare system in terms of cost. Various forms of CVD including atherosclerosis, valve and ventricular dysfunction, aneurysms, and thrombogenesis can be identified by measuring localized abnormalities in blood flow. Accordingly, the ability to noninvasively interrogate physiological flows enables identification and diagnosis of disease, monitoring of the effects of therapy, and research on the hemodynamic nature of CVD and its associated interventions. In the clinic, blood flow measurements are primarily made using phase contrast magnetic resonance imaging (PC-MRI) and ultrasonic color Doppler imaging. Certain limitations of these techniques for patients who have contraindications or suffer from arrhythmias, as well as the desire for volumetric flow information necessitate the development of a new modality for blood flow velocimetry.

Mechanisms and Devices Enabling Arbitrarily Shaped, Deep-Subwavelength, Acoustic Patterning

UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a Compliant Membrane Acoustic Patterning (CAMP) technology capable of patterning cells in an arbitrary pattern at a high resolution over a large area.

Ultrasound Based Volumetric Particle Tracking Method

The disclosure relates to method of processing three-dimensional images or volumetric datasets to determine a configuration of a medium or a rate of a change of the medium, wherein the method includes tracking changes of a field related to the medium to obtain a deformation or velocity field in three dimensions. In some cases, the field is a brightness field inherent to the medium or its motion. In other embodiments, the brightness field is from a tracking agent that includes floating particles detectable in the medium during flow of the medium.  

Shear Wave Based Elasticity Imaging Using 3D Segmentation For Ocular Disease Diagnosis

 Retinal diseases, such as age-related macular degeneration (AMD), are the leading cause of blindness in the elderly population. Since no known cures are currently present, it is crucial to diagnose the condition in its early stages so that disease progression is monitored. Systems and methods for detecting and mapping the mechanical elasticity of retinal layers in the posterior eye are disclosed herein. A system including confocal shear wave acoustic radiation force optical coherence elastography (SW-ARF-OCE) is provided, wherein an ultrasound transducer and an optical scan head are co-aligned to facilitate in-vivo study of the retina. In addition, an automatic segmentation algorithm is used to isolate tissue layers and analyze the shear wave propagation within the retinal tissue to estimate mechanical stress on the retina and detect early stages of retinal diseases based on the estimated mechanical stress. US patent application no.  20190335996 

A Fully‐automated Deep Learning System (software code) for the Detection, Prognosis, and Visualization of Pulmonary Disease.

The majority of state‐of‐the‐art lung segmentation algorithms in the literature do not simultaneously segment lungs, lung lobes, and airway in a single algorithm. Additionally, automated algorithms typically perform the segmentation task on a series of 2D slices, which can reduce segmentation accuracy of anatomical structures (i.e. lung lobes) that may require contextual information across all three spatial dimensions. Many existing algorithms also have not been validated on chest CTs across a wide variety of conditions to evaluate algorithm generalizability. Currently, quantification of respiratory measurements requires a radiologist, trained analyst, or technician to recognize, identify, and manually annotate anatomical landmarks such as the lung lobes or airway in the chest. A fully‐automated deep learning system may eliminate the need for manual analysis, thereby improving efficiency and expanding applicability to a large number of CTs.

Software-Automated Medical Imaging Software for Standardizing the Diagnosis of Sarcopenia

Sarcopenia  is defined as an age associated decline in or loss of lean skeletal muscle mass. The pathophysiology can be multifactorial and the change in body composition may be difficult to detect due to obesity, changes in fat mass, or edema. Changes in weight, limb or waist circumference are not reliable indicators of muscle mass changes. Sarcopenia may also cause reduced strength, functional decline and increased risk of falling. Sarcopenia is otherwise asymptomatic and is often unrecognized.  

Multiphoton Magnetic Resonance Imaging

UC Berkeley researchers have developed novel imaging techniques with the use of a multiphoton magnetic resonance imaging apparatus. By taking a particular rotating frame transformation the researchers found that multiphoton excitations appear just like single‐photon excitations and can also use concepts explored in standard single‐photon excitation. One prototype included a low frequency coil while another prototype included no additional hardware but instead used oscillating gradients as a source of extra photons for excitation.  The methods and multiphoton MRI can be used to transform a standard slice selective adiabatic inversion pulse into a multiband version without modifying the RF pulse itself. The addition of oscillating gradients creates multiphoton resonances at multiple spatial locations and allows for adiabatic inversions at each location.

Oldest-Old Mri Registration Template

MRI scans of patients/participants can be compared to template scans in order to identify differences or changes in brain anatomy. However, the templates that are used are typically of young brains, which lack the atrophy that naturally occurs in the aged brain. UCI researchers have developed a template for oldest old images (90+ age group) that takes into consideration the natural anatomical changes that can occur with aging.

Techniques for Improving Positron Emission Tomography Image Quality and Tracking Real-Time Biological Processes

Researchers at the University of California, Davis have developed methodologies that perform dynamic PET imaging and provide opportunities for tracing blood flow and other biological systems in real-time.

Cellular Potassium Imaging Using A Ratiometric Fluorescent Sensor

The inventors developed a ratiometric fluorescent small molecule probe for potassium ion detection composed of a duo-fluorophore system (KR-1). UV-vis detector and fluorometer measurement support ratiometric response of the probe towards potassium ion concentration. The probe was further applied to cellular potassium level detection using confocal microscope imaging technique. KR-1 enables simple determination of potassium levels in various cancer or non-cancer cell lines.

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