VARIASI REKONSTRUKSI SLICE THICKNESS TERHADAP INFORMASI CITRA ANATOMI MSCT SCAN KEPALA PADA KASUS STROKE ISKEMIK
ABSTRACT
BACHELOR OF APPLIED SCIENCE PROGRAM
IMAGING RADIOLOGY TECHNOLOGY STUDY PROGRAM
RADIODIAGNOSTICS AND RADIOTHERAPY DEPARTMENT
HEALTH POLYTECHNIC OF HEALTH MINISTRY
JAKARTA II
THESIS, 2025
JUPRIADY ICHTIARA
VARIATIONS IN SLICE THICKNESS RECONSTRUCTION AND ITS IMPACT ON
MSCT HEAD IMAGING FOR ISCHEMIC STROKE CASES
V + 47 Pages + 17 Images + 11 Tables + 12 Attachments
Introduction: radiologically, Multi-Slice Computed Tomography (MSCT) is an advanced
radiological modality capable of producing sectional anatomical images in axial, sagittal, and
coronal planes. In this matter, a critical factor in achieving high-quality CT scan images is the
reconstruction slice thickness. This study aims to evaluate the impact of variations in slice
thickness reconstruction on head CT imaging for ischemic stroke cases undertaken at Radiology
Department of Datu Beru Takengon Regional General Hospital.
Furthermore, this research applied a quantitative research design with an experimental approach to
assess the impact of slice thickness reconstruction variations on the anatomical information in
MSCT head imaging for ischemic stroke cases. While the subjects consisted of three radiology
specialists experienced in interpreting MSCT images. These radiologists served as respondents and
evaluated the anatomical structures in the head MSCT images.
Results: in conclusion, the anatomical features assessed included hyperdense arteries, brain
parenchyma (hypoattenuation), sulci, fissures, and the basal ganglia. Results showed that a slice
thickness of 1 mm resulted in images with excessive noise. And then, a slice thickness of 3 mm
produced images that were clear, well-defined, and easy to interpret, with minimal noise. While a
slice thickness of 5 mm led to excessively blurred images. Based on the variations in slice
thickness reconstruction, the study identified 3 mm slice thickness as the optimal setting for
visualizing anatomical features such as hyperdense arteries, brain parenchyma (hypoattenuation),
sulci, Sylvian fissure, and basal ganglia. Greatly, these images were clear, sharply defined, and
easy to evaluate.
Tidak ada salinan data
Tidak tersedia versi lain