skip to main content
Idioma:

A Novel Singular Value Decomposition-Based Denoising Method in 4-Dimensional Computed Tomography of the Brain in Stroke Patients with Statistical Evaluation

Yang, Wonseok ; Hong, Jun-Yong ; Kim, Jeong-Youn ; Paik, Seung-Ho ; Lee, Seung Hyun ; Park, Ji-Su ; Lee, Gihyoun ; Kim, Beop Min ; Jung, Young-Jin

Sensors (Basel, Switzerland), 2020-05, Vol.20 (11), p.3063 [Periódico revisado por pares]

Switzerland: MDPI

Texto completo disponível

Citações Citado por
  • Título:
    A Novel Singular Value Decomposition-Based Denoising Method in 4-Dimensional Computed Tomography of the Brain in Stroke Patients with Statistical Evaluation
  • Autor: Yang, Wonseok ; Hong, Jun-Yong ; Kim, Jeong-Youn ; Paik, Seung-Ho ; Lee, Seung Hyun ; Park, Ji-Su ; Lee, Gihyoun ; Kim, Beop Min ; Jung, Young-Jin
  • Assuntos: acute stroke ; Algorithms ; Brain - diagnostic imaging ; Brain - pathology ; computed tomography ; contrast-to-noise ; Gaussian noise ; Humans ; Image Processing, Computer-Assisted ; image quality ; Signal-To-Noise Ratio ; singular value decomposition ; Stroke - diagnostic imaging ; Tomography, X-Ray Computed
  • É parte de: Sensors (Basel, Switzerland), 2020-05, Vol.20 (11), p.3063
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
    The authors contributed equally to this project as co-corresponding authors.
  • Descrição: Computed tomography (CT) is a widely used medical imaging modality for diagnosing various diseases. Among CT techniques, 4-dimensional CT perfusion (4D-CTP) of the brain is established in most centers for diagnosing strokes and is considered the gold standard for hyperacute stroke diagnosis. However, because the detrimental effects of high radiation doses from 4D-CTP may cause serious health risks in stroke survivors, our research team aimed to introduce a novel image-processing technique. Our singular value decomposition (SVD)-based image-processing technique can improve image quality, first, by separating several image components using SVD and, second, by reconstructing signal component images to remove noise, thereby improving image quality. For the demonstration in this study, 20 4D-CTP dynamic images of suspected acute stroke patients were collected. Both the images that were and were not processed via the proposed method were compared. Each acquired image was objectively evaluated using contrast-to-noise and signal-to-noise ratios. The scores of the parameters assessed for the qualitative evaluation of image quality improved to an excellent rating ( < 0.05). Therefore, our SVD-based image-denoising technique improved the diagnostic value of images by improving their quality. The denoising technique and statistical evaluation can be utilized in various clinical applications to provide advanced medical services.
  • Editor: Switzerland: MDPI
  • Idioma: Inglês
Links
Voltar para lista de resultados
Ir para página anteriorAnterior Resultado  4 AvançarIr para próxima página

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.