scholarly journals A Sketch-Line Interaction Model for Image Slice-Based Examination and Region of Interest Delineation of 3D Image Data

2021 ◽  
Author(s):  
Yueh-Shan Shih
Keyword(s):  
Interaction Model ◽  
Region Of Interest ◽  
Image Data ◽  
3D Image ◽  
Line Segments ◽  
Image Slice

This thesis explores the effectiveness of a novel interaction model for visualizing 3D image data. The interaction model is based on user-sketched line segments known as

scholarly journals A Sketch-Line Interaction Model for Image Slice-Based Examination and Region of Interest Delineation of 3D Image Data

2021 ◽  
Author(s):  
Yueh-Shan Shih
Keyword(s):  
Interaction Model ◽  
Region Of Interest ◽  
Image Data ◽  
3D Image ◽  
Line Segments ◽  
Image Slice

This thesis explores the effectiveness of a novel interaction model for visualizing 3D image data. The interaction model is based on user-sketched line segments known as

Noninvasive patient tracker mask for spinal 3D navigation: does the required large-volume 3D scan involve a considerably increased radiation exposure?

2020 ◽  
Vol 33 (6) ◽  
pp. 838-844
Author(s):  
Jan-Helge Klingler ◽  
Ulrich Hubbe ◽  
Christoph Scholz ◽  
Florian Volz ◽  
Marc Hohenhaus ◽  
...  
Keyword(s):  
Radiation Exposure ◽  
Image Data ◽  
3D Image ◽  
Flat Panel ◽  
3D Navigation ◽  
Data Set ◽  
Dose Area Product ◽  
Flat Panel Detector ◽  
3D Scan ◽  
Area Product

OBJECTIVEIntraoperative 3D imaging and navigation is increasingly used for minimally invasive spine surgery. A novel, noninvasive patient tracker that is adhered as a mask on the skin for 3D navigation necessitates a larger intraoperative 3D image set for appropriate referencing. This enlarged 3D image data set can be acquired by a state-of-the-art 3D C-arm device that is equipped with a large flat-panel detector. However, the presumably associated higher radiation exposure to the patient has essentially not yet been investigated and is therefore the objective of this study.METHODSPatients were retrospectively included if a thoracolumbar 3D scan was performed intraoperatively between 2016 and 2019 using a 3D C-arm with a large 30 × 30–cm flat-panel detector (3D scan volume 4096 cm3) or a 3D C-arm with a smaller 20 × 20–cm flat-panel detector (3D scan volume 2097 cm3), and the dose area product was available for the 3D scan. Additionally, the fluoroscopy time and the number of fluoroscopic images per 3D scan, as well as the BMI of the patients, were recorded.RESULTSThe authors compared 62 intraoperative thoracolumbar 3D scans using the 3D C-arm with a large flat-panel detector and 12 3D scans using the 3D C-arm with a small flat-panel detector. Overall, the 3D C-arm with a large flat-panel detector required more fluoroscopic images per scan (mean 389.0 ± 8.4 vs 117.0 ± 4.6, p < 0.0001), leading to a significantly higher dose area product (mean 1028.6 ± 767.9 vs 457.1 ± 118.9 cGy × cm2, p = 0.0044).CONCLUSIONSThe novel, noninvasive patient tracker mask facilitates intraoperative 3D navigation while eliminating the need for an additional skin incision with detachment of the autochthonous muscles. However, the use of this patient tracker mask requires a larger intraoperative 3D image data set for accurate registration, resulting in a 2.25 times higher radiation exposure to the patient. The use of the patient tracker mask should thus be based on an individual decision, especially taking into considering the radiation exposure and extent of instrumentation.

scholarly journals On a pluri-Gaussian model for three-phase microstructures, with applications to 3D image data of gas-diffusion electrodes

2019 ◽  
Vol 156 ◽  
pp. 325-331 ◽  
Author(s):  
Matthias Neumann ◽  
Markus Osenberg ◽  
André Hilger ◽  
David Franzen ◽  
Thomas Turek ◽  
...  
Keyword(s):  
Gaussian Model ◽  
Image Data ◽  
Gas Diffusion ◽  
3D Image ◽  
Gas Diffusion Electrodes ◽  
Three Phase

scholarly journals Performance of Polar-Coded 3D Image Transmission over Fading Channel

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jianjun Hao ◽  
Luyao Liu ◽  
Wei Chen
Keyword(s):  
White Noise ◽  
Data Transmission ◽  
Fading Channel ◽  
Point Cloud ◽  
Gaussian White Noise ◽  
Image Data ◽  
Image Transmission ◽  
Transmission System ◽  
3D Point Cloud ◽  
3D Image

Any signal transmitted over an air-to-ground channel is corrupted by fading, noise, and interference. In this paper, a Polar-coded 3D point cloud image transmission system with fading channel is modeled, and also the simulation is performed to verify its performance in terms of 3D point cloud image data transmission over Rician channel with Gaussian white noise and overlap of Gaussian white noise + periodic pulse jamming separately. The comparison of Polar-coded scheme with RS-coded scheme in the same scenario indicates that Polar-coded system gives far better performance against AWGN noise and fading than the RS-coded system does in the case of short block length. But RS-coded scheme shows better performance on antipulse jamming than that of Polar-coded scheme, while there is no interleaving between codewords.

scholarly journals Model of Multilevel Sub-Image to Find the Position of Region of Interest

2016 ◽  
Vol 3 (2) ◽  
pp. 189-196
Author(s):  
Budi Hartono ◽  
Veronica Lusiana
Keyword(s):  
Euclidean Distance ◽  
Region Of Interest ◽  
Image Data ◽  
Image Feature ◽  
Experimental Result ◽  
Main Attention ◽  
Image Content ◽  
Query Image ◽  
Image Object

Searching image is based on the image content, which is often called with searching of image object. If the image data has similarity object with query image then it is expected the searching process can recognize it. The position of the image object that contains an object, which is similar to the query image, is possible can be found at any positionon image data so that will become main attention or the region of interest (ROI). This image object can has different wide image, which is wider or smaller than the object on the query image. This research uses two kinds of image data sizes that are in size of 512X512 and in size of 256X256 pixels.Through experimental result is obtained that preparing model of multilevel sub-image and resize that has same size with query image that is in size of 128X128 pixels can help to find ROI position on image data. In order to find the image data that is similar to the query image then it is done by calculating Euclidean distance between query image feature and image data feature.

Runway Groove Identification and Evaluation Using 1 mm 3D Image Data

2013 ◽  
Author(s):  
Kelvin Wang ◽  
Li Lin ◽  
Qiang Joshua Li ◽  
Vu Nguyen ◽  
Gordon Hayhoe ◽  
...  
Keyword(s):  
Image Data ◽  
3D Image

Adaptive Fuzzy Segmentation of Tumors in Three-Dimensional Computed Tomography (CT) Image Data

2007 ◽  
Author(s):  
Jung Leng Foo ◽  
Go Miyano ◽  
Thom Lobe ◽  
Eliot Winer
Keyword(s):  
Computed Tomography ◽  
Fuzzy Inference ◽  
Three Dimensional ◽  
Fuzzy Rule ◽  
Region Of Interest ◽  
Image Data ◽  
Ct Image ◽  
Inference System ◽  
Ct Data ◽  
Fuzzy Segmentation

The continuing advancement of computed tomography (CT) technology has improved the analysis and visualization of tumor data. As imaging technology continues to accommodate the need for high quality medical image data, this encourages the research for more efficient ways of extracting crucial information from these vast amounts of data. A new segmentation method using a fuzzy rule based system to segment tumors in a three-dimensional CT data has been developed. To initialize the segmentation process, the user selects the region of interest (ROI) within the tumor in the first image of the CT study set. Using the ROI’s spatial and intensity properties, fuzzy inputs are generated for use in the fuzzy inference system. From a set of predefined fuzzy rules, the system generates a defuzzified output for every pixel in terms of similarity to the object. Pixels with the highest similarity values are selected to be the tumor. This process is repeated for every subsequent slice in the CT set, and the segmented region from the previous slice is used as the ROI for the current slice. This creates a propagation of information from the previous slices, to be used to segment the current slice. The membership functions used during the fuzzification and defuzzification processes are adaptive to the changes in the size and pixel intensities of the current ROI. The proposed method is highly customizable to suit different needs of a user, requiring information from only a single two-dimensional image. Implementing the fuzzy segmentation on two distinct CT sets, the fuzzy segmentation algorithm was able to successfully extract the tumor from the CT image data. Based on the results statistics, the developed segmentation technique is approximately 96% accurate when compared to the results of manual segmentations performed.

scholarly journals Microstructure reconstruction of battery polymer separators by fusing 2D and 3D image data for transport property analysis

2020 ◽  
Vol 480 ◽  
pp. 229101
Author(s):  
Hongyi Xu ◽  
Francois Usseglio-Viretta ◽  
Steven Kench ◽  
Samuel J. Cooper ◽  
Donal P. Finegan
Keyword(s):  
Transport Property ◽  
Image Data ◽  
3D Image ◽  
Property Analysis ◽  
Microstructure Reconstruction ◽  
2D And 3D
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