DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Mobile Imaging
SEARCH
Posição atual:
>
>
> This Story

Forward Printable StoryPrint Comment

 

 

Medical Research Homepage

Consumers and physicians support virtual care, but lingering physician concerns hamper adoption, survey finds

Dementia could be detected via routinely collected data, new research shows

Pediatric NEXUS head CT DI reliably guides blunt trauma imaging decisions

Study calls for EDs to lay off imaging for epileptic seizures

Molecular tracer, seen with PET scan, shows concentrations of abnormal proteins

Imaging technique illuminates immune status of monkeys with HIV-like virus

Study validates safety and pace of stroke thrombolysis response for Helsinki hospital

Focused ultrasound used to improve effects of cancer drugs

Robotic surgery as effective as open surgery for bladder cancer

Patients with early kidney cancer see significant benefits with robotic partial nephrectomy

Segmenting ultrasound video with a wavelet variational model

Press releases may be edited for formatting or style
27-APR-2016 - SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS -- Image segmentation, the process of separating a digital image into multiple sections for individual examination, is frequently used in medical image analysis. For example, segmentation in ultrasound footage helps identify boundaries and regions of interest (ROI) that facilitate image interpretation. Efficient segmentation of ultrasound videos, however, is often complicated by low contrast, shadow effects, and complex "noise" statistics (unexplained variations). In addition, real-time applications such as navigation during operational surgery require efficient algorithms.

In an article published this month in the SIAM Journal on Imaging Sciences, authors Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen, and Lixu Gu propose a video segmentation model to recognize ROI in ultrasounds. "The proposed model aims to track a moving boundary in ultrasound video efficiently and robustly, with a mathematically-sound framework," says Zhang. "Specifically, we tackle the problem by using wavelet frames and incorporating the noise statistics under a variational framework. The continuity and regularity of the moving boundary is effectively incorporated via weighted regularization, without introducing a heavy computational burden. The overall method can be efficiently solved with a recently-developed fast algorithm, making it useful in real-time clinical applications."

Story Continues Below Advertisement

Breast Health Solutions

Innovative AI software solutions built on deep learning for breast tomosynthesis, breast density and 2D mammography. Learn more>



Multiple published methods of image segmentation currently exist, but Liu et al. specifically implement variational methods, which are commonly used for motion tracking and edge detection due to their modeling flexibility. "Variational methods have been demonstrated to be robust and effective for complicated image segmentation tasks," says Dong. "The variational framework permits solid theoretical analysis of the models that can well guide the modeling itself and provide fundamental understanding of the solutions."

Liu et al. also chose to incorporate wavelet frames, which collect more detail than other variational methods and efficiently segment low-quality footage, such as ultrasound video. This is especially true when the image includes features at various scales. "Wavelet frame regularization is used because the geometric structures and singularities in different scales can be identified and extracted efficiently from complex noise environments in the wavelet domain," says Shen. "It allows us to track and sharpen geometric shapes when they are segmented automatically through sequential images in the video."
  Pages: 1 - 2 >>

Medical Research Homepage


You Must Be Logged In To Post A Comment

Anuncie
Aumente a Sua Perceção da Marca
Leilões + Vendas Privadas
Comece
O mais melhor preço
Comprar Equipamento/Peças
Encontre
O preço o mais baixo
Notícia diária
Leia
A notícia a mais atrasada
Diretório
Browse tudo
DOTmed Usuários
Ética no DOTmed
Veja o nosso
Programa das éticas
O ouro parte o programa do vendedor
Receba PH
Pedidos
Programa do negociante do serviço do ouro
Receba RFP/PS
Pedidos
Fornecedores de Healthcare
Veja tudo
Ferramentas de HCP
Trabalhos/Treinamento
Achado/suficiência
Um trabalho
Parts Hunter +EasyPay
Comece as peças
Citações
Certificado recentemente
Vista recentemente
Usuários certificados
Recentemente Rated
Vista recentemente
Usuários certificados
Central Rental
Equipamento do aluguel
Para menos
Vender Equipamentos/Peças
Comece
A maioria de dinheiro
Preste serviços de manutenção ao Forum dos técnicos
Ajuda do achado
E conselho
Simples RFP
Comece o equipamento
Citações
Mostra de comércio virtual
Serviço do achado
Para o equipamento
O acesso e o uso deste local são sujeitos aos termos e às condições do nosso OBSERVAÇÃO LEGAL & OBSERVAÇÃO DA PRIVACIDADE
Propriedade de e proprietário DOTmeda .com, Inc. Copyright ©2001-2018 DOTmed.com, Inc.
TODOS OS DIREITOS RESERVADOS