scholarly journals A Role of Three-Dimensional (3D)-Reconstruction in the Classification of Lung Adenocarcinoma

2012 ◽  
Vol 35 (2) ◽  
pp. 79-84 ◽  
Author(s):  
Maristela L. Onozato ◽  
Veronica E. Klepeis ◽  
Yukako Yagi ◽  
Mari Mino-Kenudson
Keyword(s):  
Light Microscopy ◽  
3D Reconstruction ◽  
Lung Adenocarcinoma ◽  
Tumor Cells ◽  
New Technologies ◽  
Imaging System ◽  
Structural Information ◽  
Three Dimensional ◽  
Scanning System

Background: Three-dimensional (3D)-reconstruction from paraffin embedded sections has been considered laborious and time-consuming. However, the high-resolution images of large object areas and different fields of view obtained by 3D-reconstruction make one wonder whether it can add a new insight into lung adenocarcinoma, the most frequent histology type of lung cancer characterized by its morphological heterogeneity.Objective: In this work, we tested whether an automated tissue sectioning machine and slide scanning system could generate precise 3D-reconstruction of microanatomy of the lung and help us better understand and define histologic subtypes of lung adenocarcinoma.Methods: Four formalin-fixed human lung adenocarcinoma resections were studied. Paraffin embedded tissues were sectioned with Kurabo-Automated tissue sectioning machine and serial sections were automatically stained and scanned with a Whole Slide Imaging system. The resulting stacks of images were 3D reconstructed by Pannoramic Viewer software.Results: Two of the four specimens contained islands of tumor cells detached in alveolar spaces that had not been described in any of the existing adenocarcinoma classifications. 3D-reconstruction revealed the details of spatial distribution and structural interaction of the tumor that could hardly be observed by 2D light microscopy studies. The islands of tumor cells extended into a deeper aspect of the tissue, and were interconnected with each other and with the main tumor with a solid pattern that was surrounded by the islands. The finding raises the question whether the islands of tumor cells should be classified into a solid pattern in the current classification.Conclusion: The combination of new technologies enabled us to build an effective 3D-reconstruction of resected lung adenocarcinomas. 3D-reconstruction may help us refine the classification of lung adenocarcinoma by adding detailed spatial/structural information to 2D light microscopy evaluation.

scholarly journals POSSIBILITIES OF THE APPLICATION OF THREE-DIMENSIONAL TECHNOLOGIES AND MODERN TECHNOLOGICAL MEANS IN THE CRIME INVESTIGATION ACTIVITY

2018 ◽  
Vol 18 ◽  
pp. 98-105
Author(s):  
N. V. Pavliuk
Keyword(s):  
Digital Media ◽  
Technology Use ◽  
Laser Scanning ◽  
3D Model ◽  
Imaging System ◽  
3D Visualization ◽  
Three Dimensional ◽  
Scanning System ◽  
Crime Reconstruction ◽  
Technological Means

The issues related to the introduction of innovative methods, technologies and technological means in the investigation of crimes are considered. It is noted that one of the main directions of the development of Criminalistics is the assimilation of the virtual reality associated with computerization of spheres of life, implementation of modern technologies and their use in law enforcement. Technology use of laser scanning of terrain and objects resulting in 3D model is produced allows several times to increase informative value of data collected at the incident scene, provides a visual and convenient visualization in three-dimensional form. As against photo and video images, 3D model has a stereoscopic image and the ability to freely change the angle while viewing. Besides to scanning results can be stored on any digital media without the possibility of changes or adjustments. Attention is focused on the technological capabilities of 3D-visualization systems on examples of their use in foreign countries as technological means of capturing the situation of the scene and the subsequent of a crime reconstruction. Thus, using a portable three-dimensional imaging system for working with volumetric traces at a crime scene, it is possible to obtain accurate three-dimensional images of traces of protectors or footprints (shoes) on soil and snow. This system is an alternative to traditional methods of fixing evidence: photofixing and making plaster casts. Unlike other systems, new approach does not require the use of lasers. The expediency of expanding the range of 3D laser scanning system use in modern investigative and judicial practice of our state with the aim of increasing the level of provision of pre-trial investigation authorities with technological means and bringing it closer to European standards is argued.

scholarly journals Fast in vivo bioluminescence tomography using a novel pure optical imaging technique

2017 ◽  
Vol 10 (03) ◽  
pp. 1750003 ◽  
Author(s):  
Shuang Zhang ◽  
Chengcai Leng ◽  
Hongbo Liu ◽  
Kun Wang ◽  
Jie Tian
Keyword(s):  
Optical Imaging ◽  
Animal Studies ◽  
Imaging System ◽  
Structural Information ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Bioluminescence Tomography ◽  
3D Surface ◽  
Tumor Lesion

Bioluminescence tomography (BLT) is a novel optical molecular imaging technique that advanced the conventional planar bioluminescence imaging (BLI) into a quantifiable three-dimensional (3D) approach in preclinical living animal studies in oncology. In order to solve the inverse problem and reconstruct tumor lesions inside animal body accurately, the prior structural information is commonly obtained from X-ray computed tomography (CT). This strategy requires a complicated hybrid imaging system, extensive post imaging analysis and involvement of ionizing radiation. Moreover, the overall robustness highly depends on the fusion accuracy between the optical and structural information. Here, we present a pure optical bioluminescence tomographic (POBT) system and a novel BLT workflow based on multi-view projection acquisition and 3D surface reconstruction. This method can reconstruct the 3D surface of an imaging subject based on a sparse set of planar white-light and bioluminescent images, so that the prior structural information can be offered for 3D tumor lesion reconstruction without the involvement of CT. The performance of this novel technique was evaluated through the comparison with a conventional dual-modality tomographic (DMT) system and a commercialized optical imaging system (IVIS Spectrum) using three breast cancer xenografts. The results revealed that the new technique offered comparable in vivo tomographic accuracy with the DMT system ([Formula: see text]) in much shorter data analysis time. It also offered significantly better accuracy comparing with the IVIS system ([Formula: see text]) without sacrificing too much time.

scholarly journals Characterizing the Layer Structures of the Lacquerware From the Palace Museum by Terahertz Imaging in Reflection Geometry

2021 ◽  
Vol 9 ◽  
Author(s):  
Hongfei Zhang ◽  
Yuanmeng Zhao ◽  
Chenyu Li ◽  
Cunlin Zhang
Keyword(s):  
Time Domain ◽  
Imaging System ◽  
Structural Information ◽  
Three Dimensional ◽  
Terahertz Imaging ◽  
Universal Method ◽  
Wood Panel ◽  
Non Invasive ◽  
Reflection Geometry ◽  
Buried Layers

Chinese lacquerware is an important invention of arts and crafts in China. In this study, Chinese lacquerware is characterized using terahertz reflectometric imaging. The lacquerware studied herein comprises an ornamental wood panel covered by multiple layers of lacquers to portray motifs. For characterizing lacquerware, a terahertz time-domain spectroscopic reflectometric imaging system is proposed. The role of the proposed terahertz imaging system in highlighting the interface between layers during stratigraphic buildup in reflection geometry is proved. The proposed system provides a universal method for assessing the structural information of lacquered objects in a contactless and non-invasive manner; moreover, it provides two-dimensional images, subsurface three-dimensional images, and stratigraphic images (b-scans) in a contactless and non-invasive manner. Using the proposed system, we examine the buried layers of the lacquerware, including faults in the wooden layer and damages in the lacquerware. Research shows the promising prospects of terahertz time-domain spectroscopic reflectometric imaging as a non-destructive detection technique suited to lacquerware.

scholarly journals Three-Dimensional Reconstruction Method of Rapeseed Plants in the Whole Growth Period Using RGB-D Camera

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4628
Author(s):  
Xiaowen Teng ◽  
Guangsheng Zhou ◽  
Yuxuan Wu ◽  
Chenglong Huang ◽  
Wanjing Dong ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Point Cloud ◽  
Three Dimensional ◽  
Point Clouds ◽  
Depth Image ◽  
Scanning System ◽  
Reconstruction Method ◽  
Three Dimensional Reconstruction ◽  
Hardware Cost ◽  
Dimensional Reconstruction

The three-dimensional reconstruction method using RGB-D camera has a good balance in hardware cost and point cloud quality. However, due to the limitation of inherent structure and imaging principle, the acquired point cloud has problems such as a lot of noise and difficult registration. This paper proposes a 3D reconstruction method using Azure Kinect to solve these inherent problems. Shoot color images, depth images and near-infrared images of the target from six perspectives by Azure Kinect sensor with black background. Multiply the binarization result of the 8-bit infrared image with the RGB-D image alignment result provided by Microsoft corporation, which can remove ghosting and most of the background noise. A neighborhood extreme filtering method is proposed to filter out the abrupt points in the depth image, by which the floating noise point and most of the outlier noise will be removed before generating the point cloud, and then using the pass-through filter eliminate rest of the outlier noise. An improved method based on the classic iterative closest point (ICP) algorithm is presented to merge multiple-views point clouds. By continuously reducing both the size of the down-sampling grid and the distance threshold between the corresponding points, the point clouds of each view are continuously registered three times, until get the integral color point cloud. Many experiments on rapeseed plants show that the success rate of cloud registration is 92.5% and the point cloud accuracy obtained by this method is 0.789 mm, the time consuming of a integral scanning is 302 seconds, and with a good color restoration. Compared with a laser scanner, the proposed method has considerable reconstruction accuracy and a significantly ahead of the reconstruction speed, but the hardware cost is much lower when building a automatic scanning system. This research shows a low-cost, high-precision 3D reconstruction technology, which has the potential to be widely used for non-destructive measurement of rapeseed and other crops phenotype.

scholarly journals Underwater High-Precision 3D Reconstruction System Based on Rotating Scanning

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1402
Author(s):  
Qingsheng Xue ◽  
Qian Sun ◽  
Fupeng Wang ◽  
Haoxuan Bai ◽  
Bai Yang ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
High Precision ◽  
Laser Scanning ◽  
Low Cost ◽  
Three Dimensional ◽  
Reconstruction Error ◽  
Scanning System ◽  
Standard Sphere ◽  
Underwater Camera ◽  
The Impact

This paper presents an underwater high-precision line laser three-dimensional (3D) scanning (LLS) system with rotary scanning mode, which is composed of a low illumination underwater camera and a green line laser projector. The underwater 3D data acquisition can be realized in the range of field of view of 50° (vertical) × 360° (horizontal). We compensate the refraction of the 3D reconstruction system to reduce the angle error caused by the refraction of light on different media surfaces and reduce the impact of refraction on the image quality. In order to verify the reconstruction effect of the 3D reconstruction system and the effectiveness of the refraction compensation algorithm, we conducted error experiments on a standard sphere. The results show that the system’s underwater reconstruction error is less than 0.6 mm within the working distance of 140 mm~2500 mm, which meets the design requirements. It can provide reference for the development of low-cost underwater 3D laser scanning system.

scholarly journals Three-dimensional reconstruction of systematic histological sections: application to observations on palatal shelf elevation

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Weilong Liu ◽  
Xiaoming Wang ◽  
Yinuo Wang ◽  
Yahong Wang ◽  
Jing Zhang ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Imaging System ◽  
Three Dimensional ◽  
Gene Expression Pattern ◽  
Real Data ◽  
Tissue Samples ◽  
Palatal Shelf ◽  
Histological Sections ◽  
Dimensional Reconstruction ◽  
Palatal Bone

AbstractNormal mammalian secondary palate development undergoes a series of processes, including palatal shelf (PS) growth, elevation, adhesion and fusion, and palatal bone formation. It has been estimated that more than 90% of isolated cleft palate is caused by defects associated with the elevation process. However, because of the rapidly completed elevation process, the entire process of elevation will never be easy to clarify. In this article, we present a novel method for three-dimensional (3D) reconstruction of thick tissue blocks from two-dimensional (2D) histological sections. We established multiplanar sections of the palate and tongue in coronal and sagittal directions, and further performed 3D reconstruction to observe the morphological interaction and connection between the two components prior to and during elevation. The method completes an imaging system for simultaneous morphological analysis of thick tissue samples using both synthetic and real data. The new method will provide a comprehensive picture of reorientation morphology and gene expression pattern during the palatal elevation process.

scholarly journals Evaluation of the Skeletal Maturation of Cervical Vertebrae with Magnetic Resonance Imaging: a piloty study

2017 ◽  
Vol 16 ◽  
pp. 1-8 ◽  
Author(s):  
Camila Chaparin Baldin ◽  
Marjorie Kitt ◽  
André Luiz Ferreira Costa ◽  
Clarissa Lin Yasuda ◽  
Fernando Cendes ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
3D Reconstruction ◽  
Cervical Vertebrae ◽  
Three Dimensional ◽  
Skeletal Maturation ◽  
P Value ◽  
Mr Images ◽  
Significance Level ◽  
Medical Software

Aims: The objective of the present study was to assess the skeletal maturation by means of three-dimensional models of the cervical vertebrae generated through segmentation of the magnetic resonance (MR) images by using medical software. Methods: Twenty MR images of the skull of male and female individuals aged between 8 and 22 years old were selected. Assessment of the images was performed by using the ITK-SNAP software, consisting of three steps: 1) vertebral segmentation; 2) three-dimensional reconstruction; and 3) classification of skeletal maturation. Two specialists in orthodontics and two specialists in dentomaxillofacial radiology assessed the images. Results: Analysis of reproducibility and repeatability were performed by using the RR method, with paired t-test also being applied to the repeatability factor together with Lin’s concordance coefficient. The significance level was set at 5%. It was found that there was no difference in the inter-rater reliability (P-value = 0.625), but without statistical repeatability. Conclusions: New tools, as 3D reconstruction software, enabled us to build an effective and friendly 3D-reconstruction system for classification of the skeletal maturation stages of cervical vertebrae.

scholarly journals Three-Dimensional Reconstruction of Soybean Canopies Using Multisource Imaging for Phenotyping Analysis

2018 ◽  
Vol 10 (8) ◽  
pp. 1206 ◽  
Author(s):  
Haiou Guan ◽  
Meng Liu ◽  
Xiaodan Ma ◽  
Song Yu
Keyword(s):  
3D Reconstruction ◽  
Laser Scanning ◽  
Imaging System ◽  
Three Dimensional ◽  
Plant Phenotyping ◽  
Phenotypic Traits ◽  
Soybean Plant ◽  
Imaging Device ◽  
Soybean Canopy ◽  
Greenness Index

Geometric three-dimensional (3D) reconstruction has emerged as a powerful tool for plant phenotyping and plant breeding. Although laser scanning is one of the most intensely used sensing techniques for 3D reconstruction projects, it still has many limitations, such as the high investment cost. To overcome such limitations, in the present study, a low-cost, novel, and efficient imaging system consisting of a red-green-blue (RGB) camera and a photonic mixer detector (PMD) was developed, and its usability for plant phenotyping was demonstrated via a 3D reconstruction of a soybean plant that contains color information. To reconstruct soybean canopies, a density-based spatial clustering of applications with noise (DBSCAN) algorithm was used to extract canopy information from the raw 3D point cloud. Principal component analysis (PCA) and iterative closest point (ICP) algorithms were then used to register the multisource images for the 3D reconstruction of a soybean plant from both the side and top views. We then assessed phenotypic traits such as plant height and the greenness index based on the deviations of test samples. The results showed that compared with manual measurements, the side view-based assessments yielded a determination coefficient (R2) of 0.9890 for the estimation of soybean height and a R2 of 0.6059 for the estimation of soybean canopy greenness index; the top view-based assessment yielded a R2 of 0.9936 for the estimation of soybean height and a R2 of 0.8864 for the estimation of soybean canopy greenness. Together, the results indicated that an assembled 3D imaging device applying the algorithms developed in this study could be used as a reliable and robust platform for plant phenotyping, and potentially for automated and high-throughput applications under both natural light and indoor conditions.

scholarly journals 3D Reconstruction Based on Fusing Active Structured Laser and Passive Stereo Techniques

2020 ◽  
Vol 23 (3) ◽  
pp. 277-288
Author(s):  
Shahad A. Al-Saqal ◽  
Ali A. Al-Temeemy
Keyword(s):  
3D Reconstruction ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Scanning System ◽  
Fusion Method ◽  
Reconstruction Process ◽  
Reconstruction Performance ◽  
Dimensional Reconstruction ◽  
Real Objects ◽  
Laser Scanning System

Three-dimensional reconstruction of real objects comprises capturing the appearance and the shape for these objects and determining the three-dimensional coordinates for their profiles. This reconstruction process can be accomplished either by using active or passive techniques. In this paper, a new fusion method is proposed for 3D reconstruction. This method exploits the advantages of both stereo-based passive and laser-based active techniques and overcomes their limitations to improve the performance of 3D reconstruction. With this method, a hybrid laser-based structured light scanning system is designed and implemented. This system captures the required information using passive and active techniques and uses the proposed fusion method for 3D reconstruction. The performance of the proposed method and its scanning system were experimentally evaluated. The evaluation results show high reconstruction performance for the proposed fusion method over the traditional 3D reconstruction techniques. The results also show the effectiveness of the hybrid laser scanning system and its ability to scan and reconstruct the shape and the appearance for real objects using the proposed fusion method.

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