Research

Using Hyperpolarized 13C MRI for Brain Imaging

Myriam Chaumeil PhD's lab is working to develop better and faster ways to image the brain and the way it works using hyperpolarized carbon-13 MR imaging technology.

Meet the Duo Researching the Application of Augmented Reality Technology for Improved Patient Care and Radiology Education

As a pediatric radiologist and associate professor of radiology, Dr. Jesse Courtier's experience with 3D printing led to researching the potential application of augmented reality (AR) technology for improved patient care. He and Dr. Ben Laguna work closely in developing AR technology to be used in clinical and research settings.

A Deep Learning Model Predicts Total Knee Replacement (TKR) from MRI

This study from the UCSF Center for Intelligent Imaging (ci2) is a great example of the use of deep learning methods for new discovery.

Two Important Advances in HP 13C MRI from the UCSF HMTRC

There have been numerous studies to date that have shown the outstanding research and potential clinical value of hyperpolarized carbon-13 MR (HP 13C MRI). However, it requires major technological development to realize its full potential. Here are two recent advances from teh UCSF Hyperpolarized MRI Technology Resource Center (HMTRC). 

A New Deep Learning Model Aids in Diagnosis and Health Outcomes of Hip Fractures

A team of radiologists and orthopedists from the Center for Intelligent Imaging, or Ci2, at UCSF recently investigated the feasibility of automatic identificaiton and classification of hip fractures using deep learning. 

Patient Navigators Positively Impact Breast Cancer Patient Care

A group of breast imaging radiologists at UCSF Radiology, the Cleveland Clinic Medical Center Department of Radiology and the Mayo Clinic Department of Radiology set out to assess the utilization of patient navigators at breast imaging facilities across the country. 

Newly Published Research Reports an Important Discovery About Abdominal Aortic Aneurysms (AAAs)

Abdominal aortic aneurysm (AAA) disease is common. Larger AAAs can rupture, becoming life-threatening and requiring emergency surgery. Scientists from UCSF Radiology and the SFVAMC conducted a study that focused on focused on intraluminal thrombus (ILT) detection to help determine prognosis in these patients.

A New Deep Learning Approach for Image Analysis of Osteoarthritis

The purpose of the study from UCSF's MQIR group was to develop a multitask, deep learning model for grading hip osteoarthritis features on radiographs and compare its performance to that of attending-level radiologists.

New Applications of Dual-Energy CT (DECT)

Dual-energy CT (DECT) is not new, in fact, says Benjamin Yeh, MD, it has been around just as long as computed tomography (CT) has. What is new is that CT scanners can capture DECT quickly and with good image quality. He discusses new applications of DECT along with his lab's translational research group focusing on the exploration and development of novel CT techniques.

UCSF Radiologists Lead Work on SAR/ESUR Joint Consensus Statement for MR Imaging of Placenta Accreta Spectrum Disorders

The SAR and ESUR set out to establish joint guidelines on PAS disorders and propose strategies to standardize image acquisition, interpretation and reporting with MRI. The lead authors of this important consensus work are Priyanka Jha, MBBS and Liina Poder, MD.

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