Study on Model Iterative Reconstruction Algorithm vs. Filter Back Projection Algorithm for Diagnosis of Acute...

Area of Science:

• Radiology
• Medical Imaging
• Neurology

Background:

• Acute cerebral infarction (ACI) diagnosis relies heavily on accurate imaging.
• Computed tomography perfusion (CTP) is a valuable tool, but radiation dose is a concern.
• Iterative Model Reconstruction (IMR) offers potential for dose reduction in CTP.

Purpose of the Study:

• To evaluate the diagnostic value of IMR-based CTP imaging in ACI.
• To compare image quality and diagnostic indicators between low-dose IMR and standard-dose CTP.
• To assess the feasibility of IMR for reducing radiation dose in ACI diagnosis.

Main Methods:

• 80 ACI patients were divided into standard-dose (Group A) and low-dose (Group B) groups.
• Group A images were reconstructed using filtered back projection (FBP).
• Group B images were reconstructed using IMR (IMR1, IMR2, IMR3), iDose4, and FBP at lower radiation doses.
• Image quality and perfusion parameters (CBV, CBF, MTT, TTP) were analyzed.

Main Results:

• IMR1 reconstruction in Group B showed comparable gray/white matter CT values, SD, SNR, and CNR to Group A.
• IMR2 and IMR3 reconstructions in Group B demonstrated significant reductions in CT/SD and increases in SNR/CNR compared to Group A.
• Perfusion parameters (CBV, CBF, MTT, TTP) were consistent between Group B (iDose4, IMR) and Group A.
• Low-dose IMR CTP achieved stable perfusion indicators with reduced radiation dose.

Conclusions:

• IMR combined with low-dose CTP can produce high-quality brain images for ACI diagnosis.
• This approach offers stable perfusion indicators and a reduced radiation dose.
• IMR-based low-dose CTP is clinically applicable for diagnosing acute cerebral infarction.