The clinical evaluation of vein contrast enhancement

Zeman, Herbert; Løvhøiden, G.; Vrancken, Carlos

doi:10.1109/iembs.2004.1403384

Cited by 24 publications

(20 citation statements)

References 3 publications

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“…Also in [20,21], a Vein Contrast Enhancer (VCE) has been constructed to make vein access easier by capturing an infrared image of veins, enhancing the contrast using software, and projecting the vein image back onto the skin. The VCE also uses software to align the projected image with the vein to 0.06 mm.…”

mentioning

confidence: 99%

A Region Growing Method Based on Statistical Attributes of Infrared Images for Finger Vein Pattern Extraction

Vlachos¹,

Dermatas

2013

BER

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Abstract-In this paper a method for finger vein pattern extraction from infrared images of human finger is proposed. The finger vein pattern is extracted by the execution of a two-step region growing procedure, based on statistical properties of derivatives of the acquired infrared images. Initially, original image is filtered by four different Gaussian kernels (in order to take into account the different orientations of veins). Afterwards, the second partial derivatives of the obtained images are computed. Sequentially, the Hessian matrix of these images is constructed and its eigenvalues are computed in a pixel by pixel basis. The minimum eigenvalue and the absolute value of its gradient comprise the two characteristics (features) used in the two step region growing procedure which follows. The region growing procedure is restricted by statistical attributes such as the mean value and the standard deviation of the segmented regions (vein and tissue) and the mean value and the standard deviation of the gradient of the minimum eigenvalue image. Due to the occurrence of some misclassifications a final post processing step, based on morphological operations, is performed. The developed method achieves to efficiently segment the image despite of intensity variations which are evident in the original image. Moreover, an improved version of the proposed method, which uses the multidirectional response of a specially designed matched filter and its gradient as the two features used in the two stage region growing procedure, is also presented. The modified version, as experimental results show, outperforms the classic version and leads to more robust finger vein pattern extraction.

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confidence: 99%

A Region Growing Method Based on Statistical Attributes of Infrared Images for Finger Vein Pattern Extraction

Vlachos¹,

Dermatas

2013

BER

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“…6 Additionally, development of noncontact sensing methods to define the location of the near surface veins holds considerable promise for aiding in obtaining blood samples from individuals whose veins are not evident from visual inspection. 7 Such capability would be especially useful for infants and those with elevated BMI values. Since NIR can transmit through thin regions such as through a finger, vascular images can be easily acquired 8,9 and monitoring blood oxygen saturation can be easily measured.…”

Section: Introductionmentioning

confidence: 99%

Qualitative near-infrared vascular imaging system with tuned aperture computed tomography

et al. 2011

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Abstract. We developed a novel system for imaging and qualitatively analyzing the surface vessels using nearinfrared (NIR) radiation using tuned aperture computed tomography (TACT R ). The system consisted of a NIRsensitive CCD camera surrounded by sixty light emitting diodes (with wavelengths alternating between 700 or 810 nm). This system produced thin NIR tomograms, under 0.5 mm in slice thickness. The venous oxygenation index reflecting oxygen saturation levels calculated from NIR tomograms was more sensitive than that from the NIR images. This novel system makes it possible to noninvasively obtain NIR tomograms and accurately analyze changes in oxygen saturation. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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“…It is a steel strip whose stress acts as the balancing force when extended [7]. A compact Shuttle XPC computer with Pentium IV processor to process the images is fixed to the stand column with an uninterruptible power supply mounted next to the computer [21]. The entire stand is fixed to a base with wheels that enables mobility of the whole system.…”

Section: Department Of Biomedical Engineering and At Optical Sciencementioning

confidence: 99%

“…The head is fixed to a metal arm which can move vertically with the help of a counter balancing spring called a constant force spring [21]. It is a steel strip whose stress acts as the balancing force when extended [7].…”

Section: Department Of Biomedical Engineering and At Optical Sciencementioning

confidence: 99%

Depth and Size Limits for the Visibility of Veins Using the VeinViewer Imaging System

Ganesh¹

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The clinical evaluation of vein contrast enhancement

Cited by 24 publications

References 3 publications

A Region Growing Method Based on Statistical Attributes of Infrared Images for Finger Vein Pattern Extraction

A Region Growing Method Based on Statistical Attributes of Infrared Images for Finger Vein Pattern Extraction

Qualitative near-infrared vascular imaging system with tuned aperture computed tomography

Depth and Size Limits for the Visibility of Veins Using the VeinViewer Imaging System

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