Molecular imaging requires high resolution and high sensitive instruments and specific imaging agents that link the imaging ... In this review, we will discuss the characteristics of molecular imaging, the novel imaging agent including targeted imaging ... agent and multifunctional imaging agent, as well as cite some examples of their application in molecular imaging and therapy. ... Recently, the application of new emerging chemical technology and nanotechnology has stimulated the development of imaging ...

When it is coupled to Doppler ultrasound with color and power Doppler, it can be used to quantify blood flow and to image ... This paper will describe some basic principles of high-resolution imaging equipment, and the most important applications in ... The availability of real-time imaging of mice anatomy allows performing aspiration procedures under ultrasound guidance as well ... molecular and preclinical imaging in small animal research. ... multimodality technique that allows high-resolution imaging in ...

... and other image processing of the model. Then, this solid model was generated into IGES three-dimensional image. We followed ... L. Wang, A. R. Thoreson, R. T. Trousdale, B. F. Morrey, K. Dai, and K. N. An, "Two-dimensional and three-dimensional cup ... The three-dimensional model of the pelvis was restored using Mimics Research 20.0 (Materialise, Belgium). The STL date of the ... J. Xu, X. Qu, H. Li, Y. Mao, D. Yu, and Z. Zhu, "Three-dimensional host bone coverage in total hip arthroplasty for Crowe types ...

With the development of image recognition and pattern recognition, action recognition has become a hot research direction in ... The traditional skeleton extraction scheme is based on two-dimensional images. The algorithm is effective in processing the ... the image sensor is a K sensor, and the output value is color image, depth image, and bone information [27-29]. The inertial ... eigenvalues of the scatter matrix t [25]. All the quantities belonging to this g-dimensional space can be represented by , as ...

... images for precise liver cancer resection. The purpose of this project is to rebuild 2D CTA scan images of liver cancer into a ... Three-dimensional visual reconstruction is becoming more important in the diagnosis as well as treatment of a variety of ... The present advancements in imaging technology are aimed at improving the diagnostic efficacy of liver injury even more. ... In this paper, we proposed a novel three-dimensional visual reconstruction technology using enhanced nonuniform rational basis ...

Two-dimensional (2D) and three-dimensional (3D) images of the sample were reconstructed. The microstructure of the sample could ... Three evaluation criteria were used in the experiments to judge the quality of the reconstructed images. The experimental ... be clearly observed in the reconstructed images. Since much attention has been directed towards the nano-CT technique to ... an image reconstruction method for nanometer computed tomography (nano-CT) was proposed in this paper. In the algorithm, ...

... to make two-dimensional space-time steering vector for resolving ambiguity of the echo, which also can finish the imaging ... this paper proposed a joint two-dimensional ambiguity resolving method based on space-time filtering, which according to the ... In order to resolve the range and azimuth ambiguity in MIMO-SAR imaging, ... a) The image with 2D ambiguity. (b) The image after two-dimensional ambiguity resolving. (c) Azimuth profile of far scatter ...

In addition, the results of simulation camouflage image detection in multiple scenes show that the proposed method can ... In the face of high-tech imaging reconnaissance, battlefield detection means tend to be automated and refined. In order to ... The three-dimensional and dynamic effects will be significantly weakened with the increase of the reconnaissance distance, and ... If mapped in an image, it is equivalent to node coordinates and edge lengths . The "piecewise "is reflected in the angle ...

In the multifocus image, fusion has generated a high informative image by merging two source images with different areas or ... The LF is used to recognize the meaningful discontinuities in an image. DFT recognizes that the rapid change in the image is ... with both types of images like grayscale and color image. The experiments are performed on nonmedical and medical (breast ... The aim of image sharpening is to highlight the key features, identifying the minor details, and sharpen the edges while the ...

To solve the aforementioned problems, a cascaded segmentation model (FYU-Net) for computed tomography (CT) images is proposed ... encoder network model that can capture high-level information and retain spatial information in two-dimensional medical image ... The image input size was , and the output size was , where and represent the image length and width, respectively. The encoder ... Image segmentation is used in digital image processing and computer vision to segment an image into multiple parts or regions ...

Finally, the relationship between variables and responses is reflected by a contour line map and three-dimensional images. ... Both images show that the influence of the C factor on the response R of HDFC is greater than that of the B factor. This shows ... From the three-dimensional response surface and contour map shown in Figure 5, it is obvious that the response R of HDFC is ... As shown by the analysis in Figure 6, the three-dimensional response surface curve shows that the response R for HDFC has a ...

Image-guided three-dimensional conformal radiotherapy (IG-3DCRT) was started with 25 Gy in 5 fractions followed by a ... This case demonstrates that image-guided FIF radiotherapy with a dose-escalated hypofractionated regimen can potentially ... Image-guided three-dimensional conformal radiotherapy (IG-3DCRT) was started with 25 Gy in 5 fractions followed by a boost of ... K. Ohtakara and H. Hoshi, "Preliminary clinical outcomes of image-guided 3-dimensional conformal radiotherapy for limited brain ...

The technical parameters of two-dimensional speckle tracking were compared. The results showed that the differences in RVFAC, ... 2)The technical parameters of two-dimensional speckle tracking. Dynamic images of apical four-chamber heart, two-chamber heart ... The dynamic image collection was set to 5 cardiac cycles. After the patients image was stabilized and clear, the conventional ... 28] measured the two-dimensional and Doppler echocardiography indexes of the right heart and the two-dimensional speckle ...

Finally, the parallax map generated by the improved algorithm is used to realize three-dimensional reconstruction. The ... and expansion are used for image preprocessing; Secondly, the calibration method is used to complete camera calibration, remove ... an improved AD-Census stereo matching algorithm of a binocular measurement system for object positioning and three-dimensional ... The further known three-dimensional coordinates are expressed as 3. Methodology. Accurate parallax calculation is the key to ...

The confocal images confirmed the synthesis of neutral lipid in cell cytoplasm. High median and CV values were found in EDTA ... a), (d) FSC versus SSC two-dimensional dot plots of scattered cells. (b), (e) Flow cytograms of unstained cells showing ... Confocal images also confirmed the accumulation of neutral lipid bodies under EDTA and P starvation. Enhanced production of ... In Figures 4-5, FSC versus SSC scattered plot, flow cytograms, and confocal images showed the accumulation of high neutral ...

... the traditional encryption algorithm for image has been far from ensuring the security of image in the transmission. This paper ... Then, the watermark can be embedded in carrier image. In order to realize blind extraction of watermark, FSSVM model is used to ... The embedding positions of watermark are obtained from IAT, and the pixel values are embedded in carrier image by quantization ... presents a new image watermarking scheme based on Arnold Transform (AT) and Fuzzy Smooth Support Vector Machine (FSSVM). First ...

High-quality preoperative imaging and awareness of such rare conditions are necessary for operative safety. Although the ... Preoperative image findings. (a) Three-dimensional computed tomography scan of the abdomen reveals the replaced common hepatic ... Recently, with modern diagnostic imaging devices, such as CT, MRCP, or ERCP, 1 in 250 examined cases was found to have AP [6, 7 ... High-quality preoperative imaging and awareness of such rare conditions are necessary for operative safety. Although the ...

... many clustering algorithms are good at processing low-dimensional data. In a high-dimensional space, especially considering ... K. Sim, J. Yang, W. Lu, and X. Gao, "MaD-DLS: mean and deviation of deep and local similarity for image quality assessment," ... 6) Fuzzy clustering research, such as the clustering of information such as text, image, and sound [10]. ... 4) Research on algorithms for processing high-dimensional data: ... The data consists of 120 sample points in a four-dimensional ...

Both lipids and glycogen are known to interfere with the first step in the two-dimensional polyacrylamide gel electrophoresis ( ... a) A representative scanned image of Western blots for APOA1 (PE: 𝑛. =. 5. and C: 𝑛. =. 4. ). All individual sample extracts ... just before the second dimensional gel electrophoresis. The strips were applied on 12% homogeneous Tris-glycine gels (. cm or ... Two-dimensional separation of precipitated proteins (100 𝜇. g) in PE placenta solubilized in (a) urea/CHAPS and (b) Hepes ...

More image information is preserved. Conv is the basic convolution unit of YOLOv5, which sequentially performs two-dimensional ... in the 2-dimensional DCT are 0, formula (2) can be obtained. Among them, , the left half is the lowest frequency component of ... is the preprocessed dimensional multispectral vector, and is the frequency component index corresponding to . Then, the ... is the spectrum of the two-dimensional DCT, and is the input; H and W represent the height and width of the input feature map, ...

Digital subtraction angiography is considered the imaging method of choice. However, other noninvasive methodologies such as ... T. J. Masaryk, M. T. Modic, P. M. Ruggieri et al., "Three-dimensional (volume) gradient-echo imaging of the carotid bifurcation ... 65], comparing imaging of blood vessels at 1.5 T, 3 T, and 7 T, they concluded that for imaging of arteries, 3 T is better than ... All images clearly show the Acom aneurysm, but images with application of FS and MT are much clearer and required the shorter ...

The effectiveness of the proposed system was tested over 21 histologically stained images containing approximately 1800 cell ... The segmentation and quantification of cell nuclei are two very significant tasks in the analysis of histological images. ... automatically distinguished by dynamically determining 3 optimal threshold values for the 3 color components of an input image ... entropy-based thresholding system for segmentation and quantification of cell nuclei from histologically stained images has ...

This paper will also review recent research on the image processing-based extraction techniques of the quantitative retinal ... This further facilitates developments in medical imaging, enabling this robust technology to attain extensive scopes in ... Various diagnostic techniques are used to analyze retinal microvasculature image to enable geometric features measurements such ... In the present modern ophthalmological practice, biomarkers analysis through digital fundus image processing analysis greatly ...

Three-dimensional images of the tooth that was scheduled for intentional replantation were displayed using Invivo5 dental ... SEM images of resected root tip of C-shaped root canals. (a1) Leakage around the gutta-percha filling area on the distal canal ... SEM images of leaky canal and isthmus of C-shaped root canals are shown in Figure 5. ... Periapical radiography and cone-beam computed tomography (CBCT) (i-CAT, Imaging Sciences International LLC, Hatfield, PA, USA) ...

Then, the original two-dimensional (2D) ShuffleNet is developed three-dimensional (3D), which is more suitable for 3D sMRI data ... First, the data on structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) are ... In this paper, a multimodal diagnosis method for AD based on three-dimensional shufflenet (3DShuffleNet) and principal ... preprocessed to remove the influence resulting from the differences in image size and shape of different individuals, head ...

mode reduction for two-dimensional discrete state-delayed systems," IEE Proceedings: Vision, Image and Signal Processing, vol. ...

... and they may not be applicable for cryosection images due to the imaging difference. In this paper, we propose a supervised ... Furthermore, we reconstructed three-dimensional surfaces of these tissues, which show their potential in exploring the high- ... Specifically, our model includes two successive parts where two three-layer SAEs take image patches as input to learn the ... However, most existing automated segmentation methods are designed for computed tomography or magnetic resonance imaging data, ...

... and non-destructive measurement of biofuel pellet quality indices based on two-dimensional near infrared spectroscopic imaging ...

The results show that the combination of CT image processing technology and CASRock numerical simulation software can ... According to the theory of cellular automata analysis, combined with CT image processing technology, the numerical model of the ... 22] performed a three-dimensional numerical simulation using a self-developed three-dimensional hybrid finite discrete element ... and the CT images of different scanning layers of rock samples are obtained. Figure 3 is the CT image of the 10th layer of rock ...

The experimental results based on ten high-dimensional microarray classification problems demonstrated the effectiveness of our ... J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, ... behaves well with the high-dimensional data. For example, if we have a dataset composed of 7 genes , Table 2 shows the ... Y. Li, G. Wang, H. Chen, L. Shi, and L. Qin, "An ant colony optimization based dimension reduction method for high-dimensional ...