Presentation Type
Poster Presentation
Abstract
Computed Tomography (CT) imaging is a cornerstone of modern medicine. Enabling detailed internal imaging for diagnostic and therapeutic applications. This project explores the physics underlying CT imaging, highlighting how fundamental principles of physics integrate seamlessly with medical advancements. We will examine X-Ray generation, attenuation, and image reconstruction, demonstrating how varying tissue densities influence scan results. The role of mathematical algorithms, such as filtered back protection and iterative reconstruction, will be discussed in relation to image clarity and radiation does optimization.
Additionally, we will address the balance between image resolution and patient safety, emphasizing the importance of minimizing radiation exposure while maximizing diagnostic accuracy. By analyzing real CT scan data and reviewing case studies, this project will showcase the indispensable connection between physics and medicine. Through this exploration, we aim to illustrate how advancements in physics contribute directly to medical innovation, ultimately improving patient care and diagnostic precision.
Faculty Mentor
Randy Bybee
Recommended Citation
Wengert, Christopher; Barsoum, Madouna; and Dingus, Dominick, "Intersecting Physics and Medicine Through Computed Tomography" (2025). Student Scholar Symposium. 54.
https://digitalcollections.lipscomb.edu/student_scholars_symposium/2025/Full_schedule/54
Included in
Intersecting Physics and Medicine Through Computed Tomography
Computed Tomography (CT) imaging is a cornerstone of modern medicine. Enabling detailed internal imaging for diagnostic and therapeutic applications. This project explores the physics underlying CT imaging, highlighting how fundamental principles of physics integrate seamlessly with medical advancements. We will examine X-Ray generation, attenuation, and image reconstruction, demonstrating how varying tissue densities influence scan results. The role of mathematical algorithms, such as filtered back protection and iterative reconstruction, will be discussed in relation to image clarity and radiation does optimization.
Additionally, we will address the balance between image resolution and patient safety, emphasizing the importance of minimizing radiation exposure while maximizing diagnostic accuracy. By analyzing real CT scan data and reviewing case studies, this project will showcase the indispensable connection between physics and medicine. Through this exploration, we aim to illustrate how advancements in physics contribute directly to medical innovation, ultimately improving patient care and diagnostic precision.