Sneh Parekh

Sneh Parekh
Mentor: Dr. Walter O'Dell
College of Medicine
"I have always wanted to enter the field of research. Research furthers your basic knowledge and understanding of your field of interest, while allowing you to explore your passions. As a current pre-med student, I eventually hope to enter the field of radiology. Images in the field of radiology/oncology are particularly fascinating as there is always something new that you encounter and are able to work with. I hope that my research specifically will assist surgeons in performing more successful, lowered-risk surgeries, and will help make advances in the medical field."





Research Interests

  • Radiology
  • Oncology
  • Neurology

Academic Awards

  • Community Foundation of the Palm Beaches Scholar 2015
  • JM Rubin Scholar 2015
  • Dean's List 2015-2016
  • University Scholars Program 2016


  • Relay for Life-Logistics Co-Chair
  • Pre-Professional Service Organization
  • Intramural Table Tennis


  • UF Health Shands Cancer Hospital
  • Bethesda Memorial Hospital
  • Noah's Endeavor

Hobbies and Interests

  • Sports
  • Photography
  • Travelling

Research Description

Anatomic Modeling and Visualization of the Kidney and its Associated Major Vessels in Patients with Kidney Tumors and/or Kidney Cancer
The purpose of the research project I will be working on is to create an accurate three-dimensional (3D) model of the kidney and major vessels using kidney cancer patient MRI and CT images. The vessels and major collecting ducts will be segmented and modeled using software created in our lab for lung vessel analysis, and tailored for the kidney environment. The segmentation and modeling of the kidney will be performed using methods developed to model the geometry of the heart. Our program then employs an algorithm to create a three-dimensional model of the kidney and surrounding areas. The high quality MRI and CT images will first enable us to detect the location of tumors with respect to the kidney, and other blood vessels in its vicinity. The ultimate goal is to aid clinicians in studying, diagnosing and treating patients with renal cell carcinoma (kidney cancer). Similarly, the model would provide information to clinicians of the relative locations of tumors and blood vessels, thus aiding them in performing more successful, lowered risk surgeries.