Noise in MRI

[SHYNA A]

Sir,

Kindly help me to solve a general doubt regarding noise in MRI images. I have read some articles related to impulse noise in MRI. In their papers, they applied some denoising algorithm on MRI images, which are in .PNG and .JPEG format. Actually, is there any possibility of impulse noise commonly in MRI? If we apply any type of denoising algorithms on .PNG or JPEG instead of dicom or .nii , will it be useful?Will it be the correct method? If any one know this answer, kindly help me to clarify my doubt.

Regards

Shyna A

Assistant Professor

Dept. of Computer Science & Engineering

TKM College of Engineering

Kollam

[Sudipto Dolui]

PNG and JPG are images (like photos) while .nii is the actual data. I didn't understand what you mean by applying some denoising on the photo.

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[jithin s s]

Impulse noise can occur in MRI images due to various factors such as electrical interference, malfunctioning scanner components, or errors during image acquisition. While it's less common in MRI images compared to other types of medical images like X-rays. When denoising MRI images affected by impulse noise, it's crucial to choose appropriate denoising algorithms. Some commonly used denoising algorithms for MRI images include median filtering, adaptive filtering, and wavelet-based methods. while it's possible to encounter impulse noise in MRI images, applying denoising algorithms to images in PNG or JPEG format can be useful, but it's essential to consider the impact of image compression and lossiness on the effectiveness of denoising. Whenever possible, working with original DICOM or NIfTI images is preferred for maintaining image quality and accuracy.

Jithin S S

Senior Research Scientist

SCTIMST, Trivandrum

95526116601

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Regards

Jithin S. S.

Mob: +91-9526116601

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[shyna a]

For improving the quality of the images.

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[shyna a]

Thank you sir..

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[redhatw]

Do you mean the spike noise by "impulse noise"? That can occur to MRI but the pattern will be the Fourier transformed spikes, which will be periodic in the image domain.

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Ze Wang, PhD