Electronic techniques for radiological image processing

1969 ◽  
Vol 7 (4) ◽  
pp. 393-399 ◽  
Author(s):  
G. Revesz ◽  
H. Kundel ◽  
C. Haas
Keyword(s):  
Image Processing ◽  
Radiological Image

Implications of Digital Image Processing in the Paraclinical Assessment of the Partially Edentated Patient

2018 ◽  
Vol 69 (2) ◽  
pp. 521-524
Author(s):  
Magda Ecaterina Antohe ◽  
Doriana Agop Forna ◽  
Cristina Gena Dascalu ◽  
Norina Consuela Forna
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Treatment Plan ◽  
Digital Processing ◽  
Contour Detection ◽  
Anatomical Structures ◽  
Imaging Processing ◽  
Point To Point ◽  
Radiological Image ◽  
Processing Techniques

The application of certain digital processing techniques offers the possibility of extra accuracy in the interpretation of paraclinical examinations of this type, with profound implications in the diagnosis as well as in the hierarchy of the treatment plan. The purpose of this study is to identify the type of imaging processing for the identification of pathological elements from orthopantomographies and articular tomographies. A number of 20 orthopantomographies and 15 temporo-mandibular joint tomography have undergone through various image enhancement techniques. Various methods of image enhancement (enhancement) have been used for those procedures whereby it becomes more useful in the following aspects: specific details are highlighted; noise is eliminated; the image becomes more visually attractive. The workings were done in Corel PhotoPaint 7.0, using the automatic procedures available.The choice of a particular type of image enhancement technique has been selected for each type of pathology found in orthopantomographies or articular tomography, providing the best accuracy for an optimal imaging interpretation that underpins a precision diagnosis.Of the most useful imaging processing in the optimization of the orthopantomographic image accuracy the point-to-point transformations are to be noted. The image processing proposed in this article focused primarily on improving the radiological image attributes to highlight specific anatomical structures, and secondly, the contour detection, where it was necessary for the diagnostic purposes as well.

The Measurement Of Relative Blood Flow: An Example Of Centralized Radiological Image Processing

1984 ◽  
Author(s):  
Nicholas J. Mankovich ◽  
Patrick J. Papin ◽  
Keh -Shih Chuang ◽  
Shih-Chung B. Lo ◽  
H K. Huang ◽  
...  
Keyword(s):  
Image Processing ◽  
Blood Flow ◽  
Radiological Image

Radiological image processing advantages applied to human age estimation based on dental parameters

2019 ◽  
Vol 17 ◽  
pp. 12-17 ◽  
Author(s):  
Luiz Eugenio Nigro Mazzilli ◽  
Rodolfo Francisco Haltenhoff Melani ◽  
Cesar Angelo Lascala ◽  
Gabriel Gonçalves Mariano ◽  
Nelson M. Sakaguti ◽  
...  
Keyword(s):  
Image Processing ◽  
Age Estimation ◽  
Human Age Estimation ◽  
Radiological Image

Multimodality radiological image processing system

1992 ◽  
Author(s):  
Ronald L. Levin ◽  
Mary A. Douglas ◽  
Joseph A. Frank ◽  
R. Gladish
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Image Processing System ◽  
Radiological Image

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

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