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Register a new userOptimization of image quality and radiation does using mammography
أمثلة جودة الصورة والجرعة الإشعاعية باستخدام جهاز تصوير الثدي
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Aِl-Baath University رسالة ماجستير
Publication date
2015
fields
Life Science
and research's language is
العربية
Created by
Shamra Editor
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تم في هذا البحث دراسة العوامل المؤثرة على كل من جودة الصورة الناتجة عن تصوير الثدي بالأشعة السينية وعلى الجرعة الإشعاعية التي تلقاها الثدي وذلك من خلال غجراء التجاري والقياسات الخاصة باختبارات ضبط جودة عملية تصوير الثدي المتبعة بشكل دوري في المراكز الطبية الإشاعية والمشافي المزودة بأجهزة تصوير الثدي .
In this research, the factors affecting both the quality of the image resulting from mammograms and the radiation dose received by the breast were studied through the commercial procedures and measurements of the tests for quality control of the breast imaging process used periodically in radiological medical centers and hospitals equipped with breast imaging devices.
References used
الكتاب الطبي , اورام الثدي , دار الهلال , الطبعة الأولى , القاهرة , مصر
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The measurements carried out in many medical centers in the
middle region) Homs and Hama ( to estimate medical radiation
dose which patient received it resulting from some radiation
radiographic devices.
112 patients with suspected breast lesions were investigated using Scintimammography with 99mTc-MIBI, mammography and magnetic resonance to compare the diagnostic accuracy of Scintimammography with that of mammography and magnetic resonance in the d
etecting of primary breast cancer. Excisional biopsy was taken after 7-10 days of Scintimammography. 70 patients were diagnosed with breast cancer; 55 palpable and 15 non-palpable lesions, while 42, 30 palpable and 12 non-palpable were diagnosed as benign lesions. The sensitivity of the three methods were high and approximate (89% by Scintimammography, 90% by mammography and 94% by magnetic resonance), while Scintimammography showed higher specificity (86%) versus 21% for mammography and 50% for magnetic resonance. The high specificity in addition to high positive (91%) and negative (82%) predictive values of Scintimammography resulted in a highly accurate diagnostic (87%) method compared to mammography (64%) and magnetic resonance (78%) procedures. Through the complementary use of Scintimammography it is possible to increase the sensitivity for the detection of breast cancer. In patients in whom the status of a palpable breast mass remains unclear, Scintimammography may help to reduce the amount of unnecessary biopsies.
Writing mammography reports can be error-prone and time-consuming for radiologists. In this paper we propose a method to generate mammography reports given four images, corresponding to the four views used in screening mammography. To the best of our
knowledge our work represents the first attempt to generate the mammography report using deep-learning. We propose an encoder-decoder model that includes an EfficientNet-based encoder and a Transformer-based decoder. We demonstrate that the Transformer-based attention mechanism can combine visual and semantic information to localize salient regions on the input mammograms and generate a visually interpretable report. The conducted experiments, including an evaluation by a certified radiologist, show the effectiveness of the proposed method.
The aim of the study is repairing some partially damaged
archeological wood and restoration it before being completely
damaged. For achieving this aim, the radiation technology was used in preparing some polymer blends such as Poly (vinyl alcohol)
(PVA), Poly ethylene glycol (PEG), acrylic acid (AAC), and Acryl amid (AAm) to improving adhesion forces of polymer with wood and protecting it. The results show that the best mechanical
properties was achieved by using Poly(vinyl) alcohol (PVA), acrylic
acid (AAC), and acryl amid (AAm). Also, results show that by
increasing the ratio of acrylic acid (AAC), the tensile strength,
adhesion force, hardness, transparency, are increasing. The best
tensile strength obtained was 4.79 MPa for polymer blends contains 18/% acrylic acid, 6% acryl amid, 12% poly (vinyl alcohol) when exposing to Ultra-Violet ray dose of 210 . Results, also showed that the exposing of wood to Ultra-Violet ray dose of 250 [Gry] was enough for doing sterilization, purification.
This research aims to developing new method for breast tumors extraction and
features detection in breast magnetic resonance images by depending on clusteringand
image processing algorithms. At the beginning, one of clustering algorithms was used f
or
image segmentation and grouping pixels by their gray scale values. Then morphological
operations were implemented in order to remove noise and undesired regions, after that
suspected areas were extracted. Finally some shape features for extracted area were
detected, this features could be very useful for tumors diagnosis. A database consisted of
96breast magnetic resonance images were used and proposed approach was appliedby
MATLAB program, and we obtainedbreast tumors extraction and its features and
compared them with the doctor's opinion .
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