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VOICE ACTIVATION VISUALIZATION FOR ECHOCARDIOGRAPH AND 3D ANGIOGRAPHIC IMAGES IN SURGERY
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In some cases, surgeons need to navigate through the computer system for reconfirmation patients’ details and unfortunately surgeons unable to manage both computer system and operation at the same time. In this paper we propose a solution for this problem especially designed for heart surgeon, by introducing voice activation system with 3D visualization of Angiographic images, 2D visualization of Echocardiography processed video and selected patient’s details. In this study, the processing, approximation of the 3D angiography and the visualization of the 2D echocardiography video with voice recognition control are the most challenging work. The work involve with predicting 3D coronary three from 2D angiography image and also image enhancement which utilize the median filtering, morphological opening and contrast improvement and heart boundaries detection. With 3D reconstruction of 2D angiography images, the system was able to display 3D coronary tree, with voice activation. The system was able to rotate, zoom in and out the 3D image, the 2D echocardiography video and display patient’s information that needed by the surgeon while doing heart surgery. Development of this system is useful for surgeons, where they can navigate the system using voice commands instead of keyboard and mouse. Medical practitioners also can facilitate more the angiogram and echocardiograph images. With this system, it can help and ease the work of surgeons in analyzing and processing the medical images especially in-vivo procedure.

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Publication Date
Sun Apr 01 2018
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Laparoscopic colorectal surgery in Baghdad teaching hospital A review of 12 patients
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Background: colonic resections by laparoscopy are being performed with increasing frequency worldwide.
Objective: The aim of this study is to evaluate our experience in the laparoscopic management of colorectal disease and to compare our results with other institutes.
Patients and Methods: This is a prospective study conducted during the period from 1st of January 2017 till the 15th of November 2017, 12 patients underwent laparoscopic colectomy in in Baghdad Teaching Hospital and followed up for 30 days postoperatively.
Results: 12 patients were included in this study, 83.3% of them were male, majority of patients (41.7%) were between 60 – 69 years, most of th

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Publication Date
Sat Jul 01 2017
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Prevalence, risk factors and association of renal artery stenosis with coronary artery disease in patients undergoing coronary angiography in Ibn-Al Bitar center for cardiac surgery
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Background:-Atherosclerosis is a systemic disease that often affects multiple vascular distributions in a single patient. The increased prevalence of renal artery stenosis in association with coronary artery disease has been well documented.
Objectives:-To examine in detail the prevalence of renal artery stenosis in patients undergoing cardiac catheterization for suspected coronary artery disease.
Patients &methods:-Between April 2010 and February 2011, two hundred patients underwent coronary and renal angiography at the same session in Ibn Al-bitar Hospital for Cardiac Surgery. Clinical and procedural data for patients undergoing renal angiography were prospectively collected and entered into database specially designed for th

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Publication Date
Thu Aug 17 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Application of Kass' Snake in Medical Images Segmentation
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A   snake   is   an   energy-minimizing   spline   guided   by   external

constraint forces and influenced by image forces that pull it toward features such as lines and edges. Snakes are active contour models: they lock onto nearby edges, localizing them accurately. Snakes provide a unified account of a number of visual problems, including detection of edges, lines, and motion tracking. We have used snakes successfully for segmentation, in  which  user-imposed  constraint forces guide the snake near features of interest (anatomical structures). Magnetic Resonance Image (MRI) data set and Ultrasound images are used for our experiments.

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Publication Date
Sun Jan 12 2025
Journal Name
Al–bahith Al–a'alami
QUALITY STANDARDS OF PRESS IMAGES IN NEWS WEBSITES
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This research aims to reveal the quality standards available in press images published in the news sites, the Iraqi News Agency and Al-Mada Press for the period from: 1/9/2019, to: 30/9/2019. The research is a descriptive research, in which the researcher relied on the survey methodology to achieve its objectives. The research reached a number of results, most notably the weak role of photojournalists in the websites and the adoption of those the Internet as a source for obtaining press images published with news and reports through its pages, as well as the neglect of the standard Description/Comment below the press images, which plays an important function in explaining and interpreting them for users.

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Publication Date
Sat Apr 15 2023
Journal Name
Iraqi Journal Of Science
Building A 3D Geological model Using Petrel Software for Asmari Reservoir, South Eastern Iraq
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Building a 3D geological model from field and subsurface data is a typical task in
geological studies involving natural resource evaluation and hazard assessment. In
this paper a 3D geological model for Asmari Reservoir in Fauqi oil field has been
built using petrel software. Asmari Reservoir belongs to (Oligocene- Lower
Miocene), it represents the second reservoir products after Mishrif Reservoir in Fauqi
field. Five wells namely FQ6, FQ7, FQ15, FQ20, FQ21 have been selected lying in
Missan governorate in order to build Structural and petrophysical (porosity and water
saturation) models represented by a 3D static geological model in three directions
.Structural model shows that Fauqi oil field represents un cylin

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Publication Date
Fri Jul 19 2024
Journal Name
An International Journal Of Optimization And Control: Theories & Applications (ijocta)
Design optimal neural network based on new LM training algorithm for solving 3D - PDEs
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In this article, we design an optimal neural network based on new LM training algorithm. The traditional algorithm of LM required high memory, storage and computational overhead because of it required the updated of Hessian approximations in each iteration. The suggested design implemented to converts the original problem into a minimization problem using feed forward type to solve non-linear 3D - PDEs. Also, optimal design is obtained by computing the parameters of learning with highly precise. Examples are provided to portray the efficiency and applicability of this technique. Comparisons with other designs are also conducted to demonstrate the accuracy of the proposed design.

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Publication Date
Sun Jan 12 2025
Journal Name
Iraqi Journal Of Community Medicine
Awareness and Expectation of Breast Reconstruction Surgery among Female with Breast Cancer in Baghdad Governorate 2022
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Abstract Background:Breast cancer is the most common female cancer worldwide. Although mastectomy is considered the treatment of choice for the majority of cases of breast cancer; a noticeable percentage of breast cancer survivors claim they were never advised about reconstruction. It has been proven that breast reconstruction helps breast cancer survivors to overcome the trauma of their diagnosis and improve their psychological well-being.Objectives: To assess the level of awareness and expectations regarding breast reconstruction surgery among female with breast cancer survivors in Baghdad, and to find if there is association between sociodemographic data and expectations of breast reconstruction.Methodology: This is a cross sectional stu

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Publication Date
Sat Mar 03 2012
Journal Name
International Urology And Nephrology
GFR estimation in the morbidly obese pre- and postbariatric surgery: one size does not fit all
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Publication Date
Thu May 30 2024
Journal Name
Iraqi Journal Of Science
A Review Study on Forgery and Tamper Detection Techniques in Digital Images
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Digital tampering identification, which detects picture modification, is a significant area of image analysis studies. This area has grown with time with exceptional precision employing machine learning and deep learning-based strategies during the last five years. Synthesis and reinforcement-based learning techniques must now evolve to keep with the research. However, before doing any experimentation, a scientist must first comprehend the current state of the art in that domain. Diverse paths, associated outcomes, and analysis lay the groundwork for successful experimentation and superior results. Before starting with experiments, universal image forensics approaches must be thoroughly researched. As a result, this review of variou

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Publication Date
Sat Jan 30 2021
Journal Name
Iraqi Journal Of Science
3D Facies Modeling of Mishrif Reservoir in Halfaya Oil Field
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     This research deals with the study of the types and distribution of petrographic microfacies and Paleoenvironments of Mishrif Formation in Halfaya oil field, to define specific sedimentary environments. These environments were identified by microscopic examination of 35 thin sections of cutting samples for well HF-9H as well as 150 thin sections of core and cutting samples for well HF-I. Depending on log interpretation of wells HF-1, HF-316, HF-109, IIF-115, and IIF-272, the sedimentary facies were traced vertically through the use of various logs by Petrel 2013 software in addition to previous studies. Microfacies analysis showed the occurrence of six main Paleoenvironments within Mishrif succession, represented

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