Strategy of Statistics-Based Visualization for Segmented 3D Cardiac Volume Data Set

2011 ◽  
pp. 250-256 ◽  
Author(s):  
Changqing Gai ◽  
Kuanquan Wang ◽  
Lei Zhang ◽  
Wangmeng Zuo
Keyword(s):  
Volume Data ◽  
Cardiac Volume ◽  
Data Set

scholarly journals Novel Assistive Device for Tomographic Ultrasound Neck Imaging vs. Freehand

2020 ◽  
Vol 6 (3) ◽  
pp. 28-31
Author(s):  
Marcel Köhler ◽  
Elmer Jeto Gomes Ataide ◽  
Jens Ziegle ◽  
Axel Boese ◽  
Michael Friebe
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Diagnostic Procedures ◽  
Assistive Device ◽  
Volume Data ◽  
Data Set ◽  
Scanning Method ◽  
Neck Area ◽  
2D Ultrasound

AbstractFor assessing clinically relevant structures in the neck area, especially the thyroid, it has been shown that 3D or tomographic ultrasound (3D US or tUS) is able to outperform standard 2D ultrasound [1] and computed tomography [2] for certain diagnostic procedures. However, when using a freehand and unassisted scanning method to acquire a 3D US volume data set in this area overlapping image slices, a variation of the probe angulation or differences in training might lead to unusable scanning results. Based on previous works [3] [4] we propose the design - with subsequent testing - of an assistive device that is able to aid physicians during the tUS scanning process on the neck. To validate the feasibility and efficacy we compared the image quality of both freehand and assisted scanning.

scholarly journals Three-dimensional Sonography in the Assessment of Normal Fetal Anatomy in Late Pregnancy

2010 ◽  
Vol 4 (3) ◽  
pp. 217-231
Author(s):  
Badreldeen Ahmed ◽  
Ulrich Honemeyer
Keyword(s):  
Continuous Wave ◽  
Power Doppler ◽  
Three Dimensional ◽  
Late Pregnancy ◽  
Research Field ◽  
Surface Rendering ◽  
Volume Data ◽  
Data Set ◽  
3D Volume ◽  
Color And Power Doppler

Abstract Three-dimensional, multiplanar sonography, using a volume data set acquired with a 3D probe, has revolutionized ultrasonographic imaging and takes sonographers to a new perception of the fetus in 3 dimensions. Real time scanning, until the late nineties only possible in B-mode, can now be performed in 3D with up to 40 frames/sec. Fetal neurology emerged as a new perinatal research field with the 4D visualization of fetal behavior. Doppler ultrasound, diversified and refined from continuous wave and pulsed Doppler to Color – and Power Doppler, when added to 3D sonography, creates fascinating options of noninvasive fetal vascular mapping (sonoangiography) and vascular assessment of placenta. The diagnostic and demonstrative potential of an acquired 3D volume data set can be maxed with the help of postprocessing and rendering software. After storage, the evaluation of fetal 3D data sets can happen without the patient, with the option of specialist consultation, using telemedicine. In the article, the new 3D “modes” like surface rendering, maximum mode, 3D Color and Power Doppler, STIC, volume rendering, and glass body rendering, are described and illustrated in their display of normal fetal anatomy.

scholarly journals Ultrasonic Characterization of Adnexal Masses

2010 ◽  
Vol 4 (3) ◽  
pp. 275-297 ◽  
Author(s):  
Ulrich Honemeyer ◽  
Sanja Kupesic Plavsic
Keyword(s):  
Power Doppler ◽  
Resistance Index ◽  
Region Of Interest ◽  
Careful Analysis ◽  
Solid Component ◽  
Volume Data ◽  
Data Set ◽  
Adnexal Masses ◽  
Small Vessels ◽  
Etiological Spectrum

Abstract Adnexal masses have an etiological spectrum ranging from gynecologic to non-gynecologic causes. Because they can be benign or malignant, their evaluation has to include a careful analysis of the patients history, a physical examination, and laboratory and imaging tests. Transvaginal ultrasonography remains the standard for evaluation of adnexal masses. Findings suggestive of malignancy in an adnexal mass include a solid component or intracystic proliferations, thick septations (greater than 2 to 3 mm), bilateral occurrence, blood flow within the solid component of the mass, and presence of ascites. Tumor-neoangiogenesis has typical features of flow pattern and vascular architecture, indicative of malignancy, which can be visualized by Doppler ultrasound. Power Doppler with its increased sensitivity for slow flow and small vessels is ideal for this purpose and, in combination with acquisition of a volume data set of the region of interest (RoI), gives new insights in tumor angiology and appears to be an additional diagnostic tool. An important predictor of malignancy is a resistance index (RI) below 0.42 in arterial tumor vessels. 3D rendering modes like magic cut, NICHE mode, power Doppler glass body rendering, can make valuable contributions to differential diagnose of adnexal masses. A variety of adnexal masses is illustrated in their specific sonographic appearance, with special regard to ovarian carcinoma.

scholarly journals Novel Automated K-means++ Algorithm for Financial Data Sets

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Guoyu Du ◽  
Xuehua Li ◽  
Lanjie Zhang ◽  
Libo Liu ◽  
Chaohua Zhao
Keyword(s):  
Linear Time ◽  
Sparse Matrix ◽  
Data Sets ◽  
Volume Data ◽  
Text Data ◽  
Data Set ◽  
Inverse Document Frequency ◽  
Document Frequency ◽  
Initial Cluster

The K-means algorithm has been extensively investigated in the field of text clustering because of its linear time complexity and adaptation to sparse matrix data. However, it has two main problems, namely, the determination of the number of clusters and the location of the initial cluster centres. In this study, we propose an improved K-means++ algorithm based on the Davies-Bouldin index (DBI) and the largest sum of distance called the SDK-means++ algorithm. Firstly, we use the term frequency-inverse document frequency to represent the data set. Secondly, we measure the distance between objects by cosine similarity. Thirdly, the initial cluster centres are selected by comparing the distance to existing initial cluster centres and the maximum density. Fourthly, clustering results are obtained using the K-means++ method. Lastly, DBI is used to obtain optimal clustering results automatically. Experimental results on real bank transaction volume data sets show that the SDK-means++ algorithm is more effective and efficient than two other algorithms in organising large financial text data sets. The F-measure value of the proposed algorithm is 0.97. The running time of the SDK-means++ algorithm is reduced by 42.9% and 22.4% compared with that for K-means and K-means++ algorithms, respectively.

scholarly journals STAM-CCF: Suspicious Tracking Across Multiple Camera Based on Correlation Filters

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3016 ◽  
Author(s):  
Ruey-Kai Sheu ◽  
Mayuresh Pardeshi ◽  
Lun-Chi Chen ◽  
Shyan-Ming Yuan
Keyword(s):  
Gait Recognition ◽  
Geographical Information ◽  
Volume Data ◽  
Multiple Cameras ◽  
Camera Tracking ◽  
Correlation Filters ◽  
Data Set ◽  
Multiple Camera ◽  
Public Areas ◽  
Feature Based

There is strong demand for real-time suspicious tracking across multiple cameras in intelligent video surveillance for public areas, such as universities, airports and factories. Most criminal events show that the nature of suspicious behavior are carried out by un-known people who try to hide themselves as much as possible. Previous learning-based studies collected a large volume data set to train a learning model to detect humans across multiple cameras but failed to recognize newcomers. There are also several feature-based studies aimed to identify humans within-camera tracking. It would be very difficult for those methods to get necessary feature information in multi-camera scenarios and scenes. It is the purpose of this study to design and implement a suspicious tracking mechanism across multiple cameras based on correlation filters, called suspicious tracking across multiple cameras based on correlation filters (STAM-CCF). By leveraging the geographical information of cameras and YOLO object detection framework, STAM-CCF adjusts human identification and prevents errors caused by information loss in case of object occlusion and overlapping for within-camera tracking cases. STAM-CCF also introduces a camera correlation model and a two-stage gait recognition strategy to deal with problems of re-identification across multiple cameras. Experimental results show that the proposed method performs well with highly acceptable accuracy. The evidences also show that the proposed STAM-CCF method can continuously recognize suspicious behavior within-camera tracking and re-identify it successfully across multiple cameras.

Abstract 12587: An Improved Approach to Cardiac Volumetrics: A Cardiac MRI Technique to Further Augment Accuracy

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Geetha Rayarao ◽  
Robert W Biederman ◽  
Diane V Thompson ◽  
Sahadev T Reddy ◽  
June Yamrozik ◽  
...  
Keyword(s):  
Cardiac Mri ◽  
Ex Vivo ◽  
Image Data ◽  
Region Growing ◽  
Contour Method ◽  
Seed Region ◽  
Cardiac Volume ◽  
Data Set ◽  
Two Populations

Introduction: In cardiac MRI (CMR), heart volumes are traditionally measured using contouring methods applied to contiguous image data. Herein, we introduce a new approach, Automatic Threshold and Manual Trimming (ATMT), which is applied to the same contiguous data set. Potentially, the ATMT method can be applied by seed/region-growing algorithms with minimal user supervision. We sought to establish its clinical validity. Hypothesis: We hypothesize that the ATMT approach is more accurate as compared to conventional 'gold standard', cardiac contouring. Methods: Hearts from two populations (N=74) were evaluated: explanted heart transplant (Tx) and a clinical validation cohort ( in vivo ). The transplanted hearts were imaged ex vivo using CMR and then weighed on a high-fidelity scale. Cardiac volume/mass was compared (N=54) to the patient cohort (N=20) and measured non-invasively with stroke volume, independently measured via CMR phase velocity technique. Bland-Altman was applied in a 3-way manner for each group. Results: Bland-Altman analysis for Standard Deviation (SD), Bias and Correlation (R) are summarized in Table 1. When compared with independent measurements (weight/flow), ATMT has lower Bias (close to zero) and SD. Further, any comparison involving cardiac contours has a substantially larger bias term and a higher SD. From the table below, ATMT has consistently higher correlations with the independent measurement than does the contour method. Conclusions: Based on multiple comparison metrics with independent measures, the ATMT approach is more accurate and reproducible for quantification of cardiac volume (integral for EF determination) as compared to standard contouring. Furthermore, ATMT accommodates trabeculae and papillary structures more intuitively than the contouring method. This intrinsic accuracy coupled with the potential for more rapid analysis gives a valid impetus to further develop the ATMT approach further increasing CMR accuracy.

O-36 Complementary role of real time 3D TOE full volume data set during problem oriented 2D TOE

2011 ◽  
Vol 25 (3) ◽  
pp. S16
Author(s):  
Sarah Eibel ◽  
Elham Hasheminejad ◽  
Chirojit Mukherjee ◽  
Heinz Tschernich ◽  
Joerg Ender
Keyword(s):  
Real Time ◽  
Volume Data ◽  
Data Set ◽  
Complementary Role ◽  
Full Volume

Evaluation of Pharyngoesophageal Segment Using 320-Row Area Detector Computed Tomography

2018 ◽  
Vol 127 (12) ◽  
pp. 888-894
Author(s):  
Pattra Wattanapan ◽  
Hitoshi Kagaya ◽  
Yoko Inamoto ◽  
Eiichi Saitoh ◽  
Seiko Shibata ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Healthy Subjects ◽  
Set Covering ◽  
Slice Thickness ◽  
Volume Data ◽  
Cross Sectional ◽  
Data Set ◽  
Area Detector ◽  
Pharyngoesophageal Segment ◽  
New Information

Objectives: The aim of this study was to determine the shape and area of the pharyngoesophageal segment (PES) during swallowing using 320-row area detector computed tomography, which can acquire a volume data set covering a 16-cm area in a single rotation. Methods: Twenty healthy subjects were scanned during swallowing 3, 10, and 20 mL of honey-thick barium (5% w/v). PES was identified using cross-sectional images of 0.5-mm slice thickness, and the area in each section was measured. Results: The PES opening area and the anteroposterior and lateral diameters of the PES were volume dependent. However, there was no statistical difference in anteroposterior and lateral diameters between 3- and 10-mL bolus swallowing. Conclusions: Three hundred twenty–row area detector computed tomography provided new information about PES. This technique will facilitate further understanding of the mechanisms of PES opening and swallowing physiology.

A DIGITAL MODEL FRAMEWORK OF METABOLIC SYSTEM BASED ON VISIBLE HUMAN DATA SET

2007 ◽  
Vol 07 (01) ◽  
pp. 143-157 ◽  
Author(s):  
YUNFENG CUI ◽  
JING BAI ◽  
YINGMAO CHEN ◽  
JIAHE TIAN
Keyword(s):  
Anatomical Structure ◽  
Digital Model ◽  
Whole Body ◽  
Dynamical Process ◽  
Volume Data ◽  
Model Framework ◽  
Metabolic System ◽  
Data Set ◽  
Time Activity ◽  
Visible Human

Digital model of human metabolic system incorporated with real anatomical structure can be seen as an important tool in order to understand and study the processes of metabolism. This paper presented a whole body digital model framework of [18F]2-fluoro-2-deoxy-D-glucose (FDG) metabolism based on the segmented Visible Human Project (VHP) data set as the anatomical structure framework. First, the blood time-activity curve (BTAC) and the tissues time-activity curves (TTAC) were obtained from kinetic analysis. According to the obtained BTAC and TTACs, a set of corresponding values were assigned to the segmented VHP image frames. Thus a set of dynamic volume data were derived to show the 18F distribution in human body for the predetermined sampling schedule. Finally, the simulated FDG distribution was visualized by coronal, axial, and sagittal slices and volume rendering method. The model established here was especially for the metabolism of FDG; however, the modeling method is general for all tracers. The proposed model represented functional information of dynamical process of human metabolism with high visualization resolution. The results of modeling and visualization provide a useful tool for education and research on nuclear imaging, and may provide a novel technical platform for the study of pharmacokinetics.

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