scholarly journals Designing a Nasal Prosthesis using CAD-RP Technology

2012 ◽  
Vol 2 (3) ◽  
pp. 108-112
Author(s):  
R Vanitha ◽  
K Ramkumar ◽  
G Rajtilak ◽  
V Rajasekar
Keyword(s):  
Digital Data ◽  
3D Image ◽  
3 Dimensional ◽  
Digital Database ◽  
Nasal Prosthesis ◽  
Nasal Defect ◽  
Patient Reported ◽  
Defect Area ◽  
Computer Aided ◽  
Data Files

ABSTRACT A 37-year-old female patient reported to the hospital with a nasal defect due to carcinoma. She was previously restored with nasal prostheses, but was not satisfied with its cosmetic appeal. A computerized tomographic (CT) scan of the defect area was made and converted into 3- dimensional (3D) digital data using dedicated medical imaging software. From the 3D image, measurements of the defect were calculated and compared with various nasal fossa measurements available in the digital database. A 3D nose model which had measurements that closely matched the defect area was extracted and superimposed on the defect area and margins adjusted. The data files were then sent for rapid prototyping (RP). A RP model was fabricated which was duplicated in wax and processed. The final result was a nasal prosthesis that conformed well to the patients’ face and was also esthetically acceptable. The main advantage of computer-aided designing (CAD)-RP is that it allows trying various nasal forms on the patients face within few hours. This saves chair time, eliminates the impression step and provides patient and dentist an option of variety. How to cite this article Vanitha R, Ramkumar K, Rajtilak G, Rajasekar V. Designing a Nasal Prosthesis using CAD-RP Technology. Int J Prosthodont Restor Dent 2012;2(3):108-112.

Total nasal defect reconstruction with nasal prosthesis. Two case reports

Stomatologiya ◽  
2021 ◽  
Vol 100 (4) ◽  
pp. 98
Author(s):  
K.A. Veselova ◽  
I.N. Antonova ◽  
N.V. Gromova
Keyword(s):  
Case Reports ◽  
Defect Reconstruction ◽  
Nasal Prosthesis ◽  
Nasal Defect

scholarly journals A Novel approach of data deduplication for distributed storage

2018 ◽  
Vol 7 (2.4) ◽  
pp. 46 ◽  
Author(s):  
Shubhanshi Singhal ◽  
Akanksha Kaushik ◽  
Pooja Sharma
Keyword(s):  
Distributed Storage ◽  
Search Time ◽  
Search Tree ◽  
Digital Data ◽  
Binary Search Tree ◽  
Data Deduplication ◽  
Novel Approach ◽  
Best Value ◽  
Chunk Size ◽  
Data Files

Due to drastic growth of digital data, data deduplication has become a standard component of modern backup systems. It reduces data redundancy, saves storage space, and simplifies the management of data chunks. This process is performed in three steps: chunking, fingerprinting, and indexing of fingerprints. In chunking, data files are divided into the chunks and the chunk boundary is decided by the value of the divisor. For each chunk, a unique identifying value is computed using a hash signature (i.e. MD-5, SHA-1, SHA-256), known as fingerprint. At last, these fingerprints are stored in the index to detect redundant chunks means chunks having the same fingerprint values. In chunking, the chunk size is an important factor that should be optimal for better performance of deduplication system. Genetic algorithm (GA) is gaining much popularity and can be applied to find the best value of the divisor. Secondly, indexing also enhances the performance of the system by reducing the search time. Binary search tree (BST) based indexing has the time complexity of  which is minimum among the searching algorithm. A new model is proposed by associating GA to find the value of the divisor. It is the first attempt when GA is applied in the field of data deduplication. The second improvement in the proposed system is that BST index tree is applied to index the fingerprints. The performance of the proposed system is evaluated on VMDK, Linux, and Quanto datasets and a good improvement is achieved in deduplication ratio.

COMPUTER AIDED KNOT THEORY USING MATHEMATICA AND MATHLINK

2002 ◽  
Vol 11 (06) ◽  
pp. 945-954 ◽  
Author(s):  
NORIKO IMAFUJI ◽  
MITSUYUKI OCHIAI
Keyword(s):  
Knot Theory ◽  
Computer Tool ◽  
The Public ◽  
Computer Aided ◽  
Data Files

We introduce a computer tool called Knot2000(K2K) which was developed for the purpose of support for the research of knot theory. K2K is a package on Mathematica in which consists of 19 functions and it has already been opened to the public with other external programs and data files. In this paper, we will describe focusing on the usages of each functions and some examples of effective ways to use K2K, and show its availability.

scholarly journals Integrating layer by layer manufacturing for the realization of polymer complex geometries with scanning devices: re-building by digital data

2021 ◽  
Author(s):  
Carlo Bruni ◽  
Luciano Greco ◽  
Tommaso Mancia ◽  
Massimiliano Pieralisi
Keyword(s):  
Original Data ◽  
Digital Data ◽  
Complex Geometries ◽  
Polymer Complex ◽  
Layer By Layer ◽  
Input File ◽  
3D Scanner ◽  
Photo Polymerization ◽  
Layer Manufacturing ◽  
Computer Aided

The additive manufacturing technique represents a way to realize components or prototypes without the use of conventional tools.The research presented aims at proposing a methodology based on the use of three different techniques that are the poly-jet 3D using UV photo-polymerization, the FDM of polyamide materials and the FDM of PLA materials. The original data were used at the beginning with the first technique in order to detect the shape and the geometry by a 3D SCANNER. The objective was the re-building of a model shape made using a procedure in which the input file characteristics were updated starting from those got by the scanning device in order to respect the original requirements defined in the computer aided environment. It was found that the physical re-building of an object is depending the characteristics of the input file that needs to be digitally processed in order to get the desired shape and geometry. In that way also FDM using PLA and polyamide materials can be utilized to get components or prototypes from scanned digital data. The results are reported in details.

scholarly journals Renal Artery Perfusion Evaluation Before Transplantation via a 3-Dimensional Image Analysis System

2020 ◽  
Vol 104 (3-4) ◽  
pp. 188-193
Author(s):  
Koichi Tomita ◽  
Yuki Nakamura ◽  
Takayoshi Yokoyama ◽  
Naokazu Chiba ◽  
Yu Kihara ◽  
...  
Keyword(s):  
Image Analysis ◽  
Kidney Transplantation ◽  
Renal Artery ◽  
Image Analysis System ◽  
3D Image ◽  
3 Dimensional ◽  
3D Image Analysis ◽  
Reconstruction Methods ◽  
Analysis System ◽  
Artery Perfusion

Background: The perfusion areas of renal arteries in renal transplantation are assessed via subjective observations during perfusion in a bench surgery; however, this evaluation method lacks reliability and objectivity. In this study, we aimed to evaluate the perfusion area of each main and side artery kidney graft using a 3-dimensional (3D) image analysis system. Methods: We enrolled 50 patients who had undergone living kidney transplantation with multiple renal artery grafting at our center between 2005 and 2017. All computed tomography images from donors were retrospectively analyzed using a 3D image analysis system. We then calculated the artery perfusion areas associated with the artery reconstruction method used. Results: The perfusion areas of side arteries, which were evaluated after surgery, were statistically different among cases employing different reconstruction methods (P < 0.001). The perfusion area of the ligated side arteries (volume, 10 mL; proportion, 6.1%) was smaller than that of the ligated side arteries where different reconstruction methods were used. Conclusion: A 3D image analysis system could provide an accurate visual representation of the vasculature prior to living donor transplantation. It could also enable calculation of perfusion area for each artery and preoperative prediction of the need for arterial reconstruction, thereby promoting safe kidney transplantation surgery.

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