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Related Concept Videos

Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Despeckle Filtering for Multiscale Amplitude-Modulation Frequency-Modulation (AM-FM) Texture Analysis of Ultrasound

C P Loizou1, V Murray2, M S Pattichis3

  • 1Departement of Computer Science, School of Sciences, Intercollege, 92 Ayias Phylaxeos Street, P. O. Box 51604, CY-3507 Limassol, Cyprus.

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Effective despeckle filtering methods were identified for analyzing intima-media complex texture in carotid ultrasound images. These methods improve the detection of age-related changes linked to cardiovascular disease risk.

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Area of Science:

  • Medical Imaging
  • Cardiovascular Ultrasound
  • Biomedical Engineering

Background:

  • Intima-media thickness (IMT) of the common carotid artery (CCA) is a key indicator of cardiovascular disease (CVD).
  • Assessing intima-media complex (IMC) texture and composition offers insights into atherosclerosis progression beyond IMT.
  • Speckle noise in ultrasound images challenges accurate texture analysis for CVD risk.

Purpose of the Study:

  • To develop and evaluate effective despeckle filtering methods for carotid ultrasound images.
  • To recover and analyze intima-media complex (IMC) texture features for atherosclerosis assessment.
  • To improve the identification of age-related textural changes indicative of CVD risk.

Main Methods:

  • Comparative evaluation of multiple despeckle filtering techniques on 100 CCA ultrasound images.
  • Extraction of multiscale Amplitude-Modulation Frequency-Modulation (AM-FM) texture features from segmented IMC.
  • Assessment of filter performance using class separation between age groups and expert visual image quality evaluation.

Main Results:

  • The hybrid median and homogeneous mask area filters demonstrated superior performance.
  • These filters significantly improved class separation between different age groups based on texture features.
  • Both methods substantially enhanced overall image quality for clinical expert assessment.

Conclusions:

  • Hybrid median and homogeneous mask area filtering are effective for reducing speckle noise in CCA ultrasound.
  • Improved IMC texture analysis aids in early cardiovascular disease risk stratification.
  • These despeckle methods enhance diagnostic accuracy for atherosclerosis detection.