Rayleigh limit in inverse scattering imaging

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SUMMARY

The discussion focuses on the Rayleigh limit in inverse scattering imaging, highlighting that the grid size in this approach must be smaller than one-tenth of the incident wavelength for optimal resolution. While theoretically, inverse electromagnetic scattering can achieve resolutions of λ/10, practical applications like MRI and ultrasound demonstrate higher resolutions despite longer wavelengths. MRI utilizes frequency domain encoding and Fourier transforms to overcome spatial wavelength limitations, while ultrasound resolution is constrained by the speed of sound and frequency, resulting in a maximum resolution of approximately 0.15 mm.

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  • Understanding of inverse scattering imaging techniques
  • Knowledge of electromagnetic wave properties and wavelengths
  • Familiarity with MRI technology and Fourier transforms
  • Basic principles of ultrasound imaging and its resolution limits
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Researchers, imaging scientists, and professionals in medical imaging fields who seek to understand the limitations and capabilities of inverse scattering techniques and their applications in MRI and ultrasound technologies.

Amartansh
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I was reading that in inverse scattering approach, we divide the region of interest into discrete grids and size of each grid should be much smaller than the incident wavelength (usually smaller than one-tenth of wavelength).
By this logic, theoretically, I can use inverse electromagnetic scattering problem to image up to a resolution of λ/10 which is much better than the Rayleigh limit. Is this practically possible?? How technologies like MRI or ultrasound provide such high-resolution image with long wavelengths?
 
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Amartansh said:
How technologies like MRI or ultrasound provide such high-resolution image with long wavelengths?
Ultrasound resolution is limited by wavelength. The speed of sound is about 1500 m/s and the frequency of diagnostic ultrasound is around 10 MHz, so the maximum resolution is about .15 mm.

MRI does indeed image much shorter than the wavelength. It encodes the spatial information into the frequency domain so you can use the Fourier transform to get spatial information. This makes it so you are not limited by the spatial wavelength of the radiation but by the sampling time.
 
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