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Updated: Aug 8, 2025

Diffusion Imaging in the Rat Cervical Spinal Cord

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Published on: April 7, 2015

Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging.

Majd Barham¹, Masahiro Kuroda², Yuuki Yoshimura^2,3

¹Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.

|February 27, 2023

Summary

Apparent diffusion coefficient (ADC) subtraction method (ASM) imaging shows promise for diagnosing diseases. Different ASM variations were compared to diffusion kurtosis (DK) imaging, with ASM/A demonstrating increased sensitivity for restricted diffusion imaging applications.

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Area of Science:

Radiology
Medical Imaging
Biophysics

Background:

Restricted diffusion (RD) imaging techniques like diffusion kurtosis (DK) imaging are vital for diagnosing neurological conditions such as cerebral gliomas and infarction.
Apparent diffusion coefficient (ADC) subtraction method (ASM) imaging is a novel RD technique utilizing differences in ADC values from varying diffusion times.

Purpose of the Study:

To evaluate and compare the diagnostic potential of different ASM imaging techniques against the established gold-standard DK imaging.
To investigate the impact of varying calculation methods on ASM image characteristics.

Main Methods:

Three distinct ASM imaging variations (ASM/A, ASM/S, PASM/A) were developed and analyzed using phantom models.
ASM image calculations involved dividing the difference between ADC basic (ADCb) and ADC modify (ADCm) by ADCb or its standard deviation.
Image comparisons were performed against DK imaging to assess sensitivity and characteristics.

Main Results:

All tested ASM variations exhibited similar tendencies in their imaging characteristics.
Increasing the number of divisions by ADCb in ASM/A from three to five times shifted images from mimicking DK to becoming more sensitive to RD.
ASM/A demonstrated a transformation towards enhanced RD sensitivity compared to DK imaging.

Conclusions:

ASM/A imaging, particularly with an increased number of divisions, shows potential for enhanced sensitivity in restricted diffusion imaging.
These findings suggest that ASM/A may become a valuable tool in future clinical RD imaging protocols for disease diagnosis.