UCSF banner
UCSF home page UCSF home About UCSF Search UCSF UCSF Medical Center

UCSF - University of California San Francisco

  • Patient Care
  • Research
  • Education
  • Research Centers
  • Research Directory
    • Abdominal and Pelvic MRI
    • Baby Brain
    • Biomagnetic Imaging Laboratory
    • Biomedical Image Computing Group
    • Biostatistics
    • Breast and Bone Density Group
    • Breast Imaging Research Group
    • CT Contrast Material and Translational Research Group
    • Center for Pharmacologic and Molecular Imaging
    • Earl Miller Radiologic Imaging Lab
    • Hyperpolarized MRI Technology Resource Center
    • Radiology Outcomes Research Lab
    • Interventional Magnetic Resonance Imaging
    • Interventional Radiology Research
    • Kazakia Lab
    • Krug Lab
    • John Kurhanewicz Lab
    • Lab for Radiologic Informatics
    • Larson Group
    • Li Lab
    • Majumdar/Link Lab
    • Tracy McKnight Lab
    • Musculoskeletal Quantitative Imaging Research
    • Musculoskeletal CT Imaging Research Group
    • MRI/MRS Specialized Resource Group
    • Sarah J. Nelson Lab
    • Neural Connectivity Lab
    • Noworolski Lab
    • Nuclear-Optical Imaging Lab
    • Physics Research Laboratory
    • PET/SPECT Radiochemistry
    • Prostate Cancer Imaging Group
    • Quantitative Image Processing Center
      • People
      • Research Directions
      • Equipment
      • Representative Data
      • Contact Us
    • Ronen Lab
    • Souza Lab
    • Vascular Imaging Research Center (at VAMC)
    • Vigneron Lab
    • Imaging Research for Neurodevelopment
  • Research Interest Groups
  • Special Resource Groups
  • Research Training Opportunities
  • Research Meetings, Conferences & Symposiums
  • Core Services

More Resources

  • Locations & Facilities
  • Ask a Question
  • Project Applications
  • Research Awards
  • Research Faculty & Assistants
  • Research Seminars
Home >> Research >> Research Directory >> Quantitative Image Processing Center

Quantitative Image Processing Center (QUIP-C)

When 3-D Imaging Alone Is Not Enough...

  Dr. Arenson, M.D. PACS Perfusion
 Clinical (PACS)
 Research (rPACS)

Chaired by Dr. Ronald L. Arenson, M.D. Professor of Radiology and a highly skilled team of collaborators, The Quantitative Image Processing Center (QUIP-C), formerly known as the 3D Imaging and Processing Lab is dedicated to delivering clinically relevant and advanced processing of visualization of medical CT and MR images, largely through PACS, in order to aid in the diagnosis and pre-surgical planning of patients.

Some of the post processing offered by QUIP-C include:

  1. CT Perfusion: Brain
    • Evaluation of brain hemodynamics in acute stroke patients
    • Evaluation of vasospasm in subarachnoid hemorrhage patients
  2. CT Angiography:
    • Curved reformats and measurements of stenosis according to the NASCET criteria
    • Characterization of atherosclerotic plaque, aneurysm morphology
  3. Cardiac CT:
    • CT angiography of the coronary arteries: 
    • Curved reformats and measurements of stenosis
    • Characterization of atherosclerotic plaque
    • Cardiac calcium scoring
    • Evaluation of left atrial volume and pulmonary veins in atrial fibrillation patients
    • Assessment of left ventricular function
    • Assessment of right ventricular function in congenital heart diseases
  4. MRI Perfusion, 3D Volumetry:
    • Perfusion MRI in brain tumors and stroke
    • 3D volume-rendering images of the intracranial vasculature
    • 3D MR spectroscopy
  5. Body CT and MRI:
    • 3D evaluation of the airways
    • CT angiography of the thoracic and abdominal aorta
    • Measurement of liver volume and evaluation of arterial, venous and biliary tract anatomy in potential liver donors and chronic liver disease
    • Assessment of vascular anatomy in potential renal donors
    • Measurement of liver and spleen volumes in patients with Gaucher’s Disease
    • CT colonography
  6. Musculoskeletal Applications:
    • 3D evaluation of craniosynostosis
    • 3D evaluation of ribs, spine, and extremities
    • Curved reformation for scoliosis

By using the rapid retrieval of digital medical records, reports and imaging of PACS, Dr. Arenson and his team are steering QUIP-C to provide some of the most comprehensive and accurate medical information possible to the physician, assuring that the patient receives the best care.

Research focus: Quantitative Image Processing, picture archiving and communication systems (PACS)

top

About Us

  • Department Overview
  • Clinical Sections
  • Advancing Technology
  • Upcoming Seminars
  • People
  • Jobs
  • News

Locations

  • All Locations
  • Parnassus
  • China Basin
  • Mission Bay
  • Mount Zion
  • San Francisco General Hospital
  • VA Medical Center
  • Contact Us
  • Donate
  • Sitemap
  • Internal
  • Schedule an Appointment
UCSF Imaging on TwitterUCSF Imaging on FacebookUCSF Imaging on YouTubeUCSF Imaging Blog

© 2012 The Regents of the University of California