Magnetic Resonance Imaging of the Human Brain

Kaila, M. M.; Kaila, Rakhi

doi:10.1016/b978-0-12-384711-9.00002-6

Quantum Magnetic Resonance Imaging Diagnostics of Human Brain Disorders 2010

DOI: 10.1016/b978-0-12-384711-9.00002-6

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Magnetic Resonance Imaging of the Human Brain

M. M. Kaila¹,

Rakhi Kaila²

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2012

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Enhancement of Compression Ratio and Image Quality using ISPIHT with MFHWT

Kaur¹,

Singh²

2012

IJCA

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This paper presents a new approach for compression of medical images with MFHWT (Modified Fast Haar Wavelet Transform) and SPIHT (Set Partitioning In Hierarchical Trees). It provide high compression ratio with high picture quality. The Modified Fast Haar Wavelet Transform is used to decompose the image at different frequency levels. It has high multi-resolution characteristics. The CR (compression ratio) of proposed method is better than existing method (SPIHT). Medical images have a number of regions where intensity is changing slowly or even have a constant value. Such regions are compressed with higher compression ratio. In medical applications image distortion is not acceptable. So the quality of the images is also improved in proposed method in terms of PSNR (Peak Signal to Noise Ratio).

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Enhancement of Compression Ratio and Image Quality using ISPIHT with MFHWT

Kaur¹,

Singh²

2012

IJCA

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show abstract

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Magnetic Resonance Imaging of the Human Brain

Cited by 1 publication

References 71 publications

Enhancement of Compression Ratio and Image Quality using ISPIHT with MFHWT

Enhancement of Compression Ratio and Image Quality using ISPIHT with MFHWT

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