Interactive Cell Segmentation based on Phase Contrast Optics

Su, Hang; Su, Zhou; Zheng, Shibao; Yang, Hua; Wei, Sha Xin

doi:10.3233/bme-130780

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Segmentation tools, equipped with various types of semi-automated segmentation algorithms [5,10,12,13], have been developed to solve segmentation problems faced by different kinds of medical images and human body parts. The prospective of interactive segmentation tools for medical image is encouraging [14].…”

Section: Introductionmentioning

confidence: 99%

Interactive knee cartilage extraction using efficient segmentation software: Data from the osteoarthritis initiative

Gan

Swee

Wong

et al. 2014

Bio-Medical Materials and Engineering

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In medical image segmentation, manual segmentation is considered both labor-and time-intensive while automated segmentation often fails to segment anatomically intricate structure accordingly. Interactive segmentation can tackle shortcomings reported by previous segmentation approaches through user intervention. To better reflect user intention, development of suitable editing functions is critical. In this paper, we propose an interactive knee cartilage extraction software that covers three important features: intuitiveness, speed, and convenience. The segmentation is performed using multi-label random walks algorithm. Our segmentation software is simple to use, intuitive to normal and osteoarthritic image segmentation and efficient using only two third of manual segmentation's time. Future works will extend this software to three dimensional segmentation and quantitative analysis.

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Section: Introductionmentioning

confidence: 99%

Interactive knee cartilage extraction using efficient segmentation software: Data from the osteoarthritis initiative

Gan

Swee

Wong

et al. 2014

Bio-Medical Materials and Engineering

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“…Therefore, the correct localization of the seeds (boundary conditions) from the user becomes crucial in order to obtain good segmentation. To enhance the result where the user input appears to be the fixed input in the context of the equation, the effect of the edges that contribute to the combinatorial Laplacian matrix on the solution is one useful entity to study [13].…”

Section: Proposed Modelmentioning

confidence: 99%

Random walker with improved weighting function for interactive medical image segmentation

Yin

Rajeswari

2014

Bio-Medical Materials and Engineering

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To segment an image using the random walks algorithm; users are often required to initialize the approximate locations of the objects and background in the image. Due to its segmenting model that is mainly reflected by the relationship among the neighborhood pixels and its boundary conditions, random walks algorithm has made itself sensitive to the inputs of the seeds. Instead of considering the relationship between the neighborhood pixels solely, an attempt has been made to modify the weighting function that accounts for the intensity changes between the neighborhood nodes. Local affiliation within the defined neighborhood region of the two nodes is taken into consideration by incorporating an extra penalty term into the weighting function. Besides that, to better segment images, particularly medical images with texture features, GLCM variance is incorporated into the weighting function through kernel density estimation (KDE). The probability density of each pixel belonging to the initialized seeds is estimated and integrated into the weighting function. To test the performance of the proposed weighting model, several medical images that mainly made up of 174-brain tumor images are experimented. These experiments establish that the proposed method produces better segmentation results than the original random walks.

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Hardware Integration and Software Design of Automated Nucleic acid extraction System based on Magnetic Bead Separation Method

Yang¹,

Dou²,

Li³

et al. 2015

Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

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Abstract. This paper presents a system designed for automated nucleic acid extraction machine based on magnetic bead separation method. A hardware platform has been established which consists of motor controlling module, temperature controlling module and a computer; also, we designed the system software to achieve data acquisition, calculation, display, management and acid extraction control. The sample temperature achieved the required value within 13 min, and the accuracy of temperature control can be up to about ±1 degrees Celsius, when the sample amount is the maximum capacity of the sample matrix. And each nucleic acid purification experiment time is controlled within 60min. Plant viral RNA extraction experiments have been done on this platform. The automatic nucleic acid extraction instrument can be successfully used for the purification of DNA and RNA, and achieved very satisfactory experimental results.

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Interactive Cell Segmentation based on Phase Contrast Optics

Cited by 4 publications

References 6 publications

Interactive knee cartilage extraction using efficient segmentation software: Data from the osteoarthritis initiative

Interactive knee cartilage extraction using efficient segmentation software: Data from the osteoarthritis initiative

Random walker with improved weighting function for interactive medical image segmentation

Hardware Integration and Software Design of Automated Nucleic acid extraction System based on Magnetic Bead Separation Method

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