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Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Related Experiment Video

Updated: Oct 5, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Integrated anatomical practice combining cadaver dissection and matched cadaver CT data processing and analysis.

Tomokazu Kawashima¹, Makoto Sakai², Keita Hiramatsu²

¹Department of Anatomy, School of Medicine, Toho University, 5-21-16 Omori-Nishi, Ota-ku, Tokyo, 143-8540, Japan. tomokazu.kawashima@med.toho-u.ac.jp.

Surgical and Radiologic Anatomy : SRA

|January 25, 2022

Summary

An integrated anatomy program combining cadaver dissection with computed tomography (CT) data processing improved medical students' motivation and imaging analysis skills. This approach enhanced understanding of human anatomy and interest in medical imaging.

Keywords:

Computed tomography Data processing/analyzing Gross anatomy education Integrated anatomical education Voluntary imaging report

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Last Updated: Oct 5, 2025

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Area of Science:

Medical Education
Anatomical Imaging
Diagnostic Radiology

Background:

Diagnostic imaging is crucial in clinical practice, necessitating robust anatomical knowledge for accurate interpretation.
Traditional anatomical education requires enhancement to meet the demands of modern medical imaging interpretation.
Developing effective training methods is essential for medical students to master imaging anatomy.

Purpose of the Study:

To assess the impact of an integrated anatomy program on medical students' motivation and learning of imaging anatomy.
To evaluate the effectiveness of combining cadaveric dissection with computed tomography (CT) data processing and analysis.
To improve students' ability to distinguish anatomical structures and interpret medical images.

Main Methods:

Implemented an integrated anatomical practice combining cadaver dissection with CT/MRI data processing in undergraduate courses.
Provided medical students with access to dissected cadaver CT data and clinical imaging data.
Students processed and analyzed imaging data, submitting voluntary reports, followed by a survey of 481 students.

Main Results:

A 74.9% positive response rate indicated student acceptance of the integrated practice.
79.4% of students found the program a suitable introduction to anatomical imaging.
Student interest in anatomy and understanding of 2D/3D anatomical arrangements significantly improved, with a 97.4% annual increase in voluntary report submissions.

Conclusions:

The integrated program actively engaged students in CT image browsing, processing, and analysis.
This approach potentially enhances students' long-term image analysis capabilities and anatomical understanding.
Incorporating competitive elements, such as imaging contests, can further boost student motivation in learning imaging anatomy.