Single-image Bayesian Restoration and Multi-image Super-resolution Restoration for B-mode Ultrasound Using an Accurate System Model Involving Correlated Nature of the Speckle Noise.

B-mode ultrasound is an essential part of radiological examinations due to its low cost, safety, and portability, but has the drawbacks of the speckle noise and output of most systems is two-dimensional (2D) cross sections. Image restoration techniques, using mathematical models for image degradatio...

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Publicado en:Ultrasonic Imaging Vol. 41; no. 6; pp. 368 - 387
Autores principales: Cüneyitoğlu Özkul, Mine, Mumcuoğlu, Ünal Erkan, Sancak, İbrahim Tanzer
Formato: research Journal Article
Publicado: Sage Publications Inc. Nov2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2019
      vid: 41
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: Single-image Bayesian Restoration and Multi-image Super-resolution Restoration for B-mode Ultrasound Using an Accurate System Model Involving Correlated Nature of the Speckle Noise.
      aug:
        au:
          Cüneyitoğlu Özkul, Mine
          Mumcuoğlu, Ünal Erkan
          Sancak, İbrahim Tanzer
        affil: Department of Health Informatics, Informatics Institute, Middle East Technical University, Ankara, Turkey
      sug:
        subj:
          Image Enhancement Methods
          Ultrasonography Methods
          Phantoms, Imaging
          Probability
          Sensitivity and Specificity
          Algorithms
          Human
          Models, Theoretical
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Ferrans and Powers Quality of Life Index
          Questionnaires
      ab: B-mode ultrasound is an essential part of radiological examinations due to its low cost, safety, and portability, but has the drawbacks of the speckle noise and output of most systems is two-dimensional (2D) cross sections. Image restoration techniques, using mathematical models for image degradation and noise, can be used to boost resolution (deconvolution) as well as to reduce the speckle. In this study, new single-image Bayesian restoration (BR) and multi-image super-resolution restoration (BSRR) methods are proposed for in-plane B-mode ultrasound images. The spatially correlated nature of the speckle was modeled, allowing for examination of two different models for BR and BSRR for uncorrelated Gaussian (BR-UG, BSRR-UG) and correlated Gaussian (BR-CG, BSRR-CG). The performances of these models were compared with common image restoration methods (Wiener filter, bilateral filtering, and anisotropic diffusion). Well-recognized metrics (peak signal-to-noise ratio, contrast-to-noise ratio, and normalized information density) were used for algorithm free-parameter estimation and objective evaluations. The methods were tested using superficial tissue (2D scan data collected from volunteers, tissue-mimicking resolutions, and breast phantoms). Improvement in image quality was assessed by experts using visual grading analysis. In general, BSRR-CG performed better than all other methods. A potential downside of BSRR-CG is increased computation time, which can be addressed by the use of high-performance graphics processing units (GPUs).
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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