A presentation explaining medical imaging, its benefits, and algorithms

1. Medical Imaging
School Of Engineering and Applied Sciences Electric And Computer
Information Technology Division
Stu Name : Esraa Ahmed Al-arbed
Dr. Bahlol Fgee

2. Contents
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4
Introduction
Definition of Medical Imaging
Benefits of Medical Imaging
Types of Medical Imaging:
5 Modern Techniques in Medical
Imaging
6
7
Challenges and Future
Conclusion

3. 1
Introduction

4. Medical Imaging is the science of generating medical images of tissues, organs,
and biological systems inside the body. This includes the use of modalities such
as X-rays, MRI, ultrasound imaging, and others. Medical imaging specialists
analyze these images, diagnose medical conditions, and guide appropriate
treatments.
Radiologic Technology is considered one of the essential components in the
healthcare team, responsible for performing diagnostic procedures using various
techniques. Radiologic technologists prepare patients, perform imaging
procedures, and ensure their safety during the process.
As for Medical Imaging Processing, it refers to the processes and techniques
used to enhance and analyze medical images obtained from various modalities.
This includes improving image quality, enhancing contrast, removing noise, image
analysis, and extracting important information to facilitate diagnosis and treatment
decisions.
Radiologic Technology contributes to executing diagnostic procedures, Medical
Imaging generates medical images, and Medical Imaging Processing improves
and analyzes these images, all working together to achieve accurate and effective
diagnosis in the field of healthcare.
Introduction

5. 2
Definition of Medical Imaging

6. Definition of Medical Imaging
Medical imaging refers to the use
of various techniques and
technologies to create visual
representations of the internal
structures and functions of the
human body. It plays a crucial
role in diagnosing and
monitoring diseases, as well as
guiding medical interventions
and treatments.

7. 3
Benefits of Medical Imaging

8. Benefits of Medical Imaging
1.Disease diagnosis: Enables accurate identification and diagnosis of
diseases using techniques like X-rays, MRI, ultrasound, and nuclear
imaging.
Staging of diseases: Helps determine disease stages and assess
their spread, aiding in developing appropriate treatment plans.
Monitoring treatment effects: Allows monitoring of treatment impact
on diseases, such as evaluating tumor changes after chemotherapy or
radiation therapy.
Guiding surgical procedures: Assists in planning surgical interventions
by visualizing internal structures, improving accuracy and preparedness.
Reducing invasive surgery: Can minimize the need for invasive
procedures by using techniques like ultrasound to guide less invasive
interventions.
Improving patient care: Early and precise diagnosis leads to better
treatment planning and enhanced overall patient care.
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Benefits of
Medical
Imaging

9. 4
Types of Medical Imaging
And Their Algorithms

10. Types of Medical Imaging
X-ray
Imaging
Ultrasound
Imaging
Computed
Tomography
(CT) Scan
Magnetic Resonance
Imaging (MRI)
Some Of
Types
This technique uses ionizing
radiation to produce images of
bones, organs, and tissues. X-rays
are commonly used for detecting
fractures, lung conditions, and
identifying abnormalities.
CT scans utilize a combination of X-rays and
computer processing to create cross-sectional
images of the body. It provides detailed
information about internal structures, aiding in the
diagnosis of conditions such as tumors, injuries,
MRI uses a powerful magnetic field and
radio waves to generate detailed images of
organs and tissues. It is particularly useful
in visualizing soft tissues, such as the brain,
spinal cord, and joints. MRI is often
employed to diagnose conditions like brain
tumors, musculoskeletal disorders, and
Ultrasound imaging uses high-frequency
sound waves to produce real-time
images of organs, blood flow, and fetal
development. It is commonly used in
obstetrics, as well as for evaluating the
heart, abdomen, and other internal
organs
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11. X-ray Imaging

12. X-ray Imaging
X-ray image capture: An X-ray image is
captured using an appropriate X-ray
device.
Digital representation: The X-ray image
is converted into a digital representation
using digital imaging devices.
Spectrum analysis and Processing
operations
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Approximate
Differentiation Algorithm
Fourier Transform
Algorithm.
3
Fast Fourier Transform (FFT) application: The
digital image undergoes the Fast Fourier
Transform to obtain the frequency spectrum
of the image.
in X-ray imaging, X-ray radiation is used
to penetrate tissues and internal
structures. The radiation is directed
towards the specific area of the body,
and X-rays interact with tissues in
different ways. The reflected or absorbed
radiation is received by sensors or
sensitive films and converted into
electrical signals or digital images.
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Image reconstruction , Analysis and
interpretation: The reconstructed image is
analyzed and interpreted for disease
diagnosis or tissue and organ changes.

13. Computed Tomography (CT) Scan

14. Computed Tomography (CT) Scan
Matrix-Based
Reconstruction Algorithm.
Direct Processing
Algorithm
The algorithm receives X-ray
data collected from various
angles around the body.
The reconstruction algorithm is
applied to convert that data
into a three-dimensional cross-
sectional image of the body.
The algorithm relies on
mathematical and computational
processing techniques to enhance
quality, accuracy, and provide a
clear and detailed image.
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15. Magnetic Resonance Imaging (MRI):

16. Magnetic Resonance Imaging (MRI):
Cartesian Transformation
Algorithm.
Riemann-Fourier
Transformation Algorithm
The algorithm begins by
acquiring magnetic
resonance data from the
patient's body using changes
in magnetic signals
The collected signals in the
spatial domain are transformed
into the temporal domain using
the Cartesian transformation
algorithm.
Digital processing techniques
such as noise filtering and
contrast enhancement are applied
to improve image quality.
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17. Ultrasound Imaging

18. Ultrasound Imaging
Image Enhancement
Algorithm
Noise-to-Signal Conversion
Algorithm
The algorithm relies on
analyzing the transmitted
and received sound signals
to create an image
The received sound signals are
converted into a set of digital
data.
Image processing techniques such
as noise filtering and clarity
enhancement are applied to
improve the quality of the
generated image.
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19. 5
Modern Techniques in
Medical Imaging

20. Modern Techniques in Medical Imaging
Using higher magnetic field strength and
improved MRI imaging techniques to obtain
higher-resolution images and enhance tissue
contrast.
High-field Magnetic Resonance Imaging
(MRI):
01
A novel technique that allows for the creation
of three-dimensional images of tissues and
organs using ultrasound waves, aiding in
improved disease diagnosis and surgical
guidance.
3/4-Dimensional Ultrasound Imaging 02
A technique that utilizes visible light and
optical technologies to image organs and
tissues at the molecular level, providing
precise information about structure and
biological function.
Biphotonic Imaging 03
AI
One of the important and recent advancements in medical imaging is the role of
artificial intelligence (AI) and deep learning in improving diagnostic processes and
analyzing medical images. Algorithms and deep models are used to develop
medical imaging systems that learn and adapt from medical data to enhance
disease detection and diagnosis.
The benefit of multimedia in medical imaging lies in providing three-dimensional
images and additional information to physicians. Tissues and organs can be
analyzed and visualized in more detail and accuracy, allowing for more precise
diagnosis and more effective treatment decisions.

21. 6
Challenges and Future

22. Challenges and Future
Challenges Future
Challenges in medical imaging: Image quality
improvement is crucial for better diagnostic accuracy
and detailed information. Reducing radiation dosage is
essential to minimize risks to patients. Improving
accessibility ensures that medical imaging is available
to all patients. Keeping up with technological
advancements requires updating equipment and
continuous training.
Future of medical imaging: Advancements in 3D imaging
provide clearer and more realistic representations of internal
structures. Improvements in MRI technology enhance imaging
speed, accuracy, and expand medical applications. Utilizing AI
enables faster and more accurate analysis of medical images.
Innovative X-ray imaging techniques offer more accurate and
detailed images. Microscopic imaging visualizes intricate
structures at a microscopic level. Virtual and augmented
reality imaging enhances interaction and collaboration in
diagnosis and treatment.
Continuous technological advancements and research investment are pivotal in addressing challenges and shaping the
future of medical imaging for improved diagnosis and patient care.

23. 7
Conclusion

24. Add the title text
Medical imaging is a set of diagnostic
techniques that allow doctors to visualize
and study the structures, organs, and
tissues inside the body. Medical imaging
relies on the use of specialized devices to
produce detailed and accurate images
that aid in the diagnosis of diseases and
the evaluation of patients' health.
In general, medical imaging plays a crucial
role in diagnosing diseases and evaluating
patients' health, helping doctors make
treatment decisions based on accurate
and reliable information about the human
body.
Conclusion
The importance of medical imaging lies in its ability to
diagnose diseases and evaluate patients' health.
Medical imaging helps locate tumors, abnormalities,
and injuries, assess their size and severity, and
determine the appropriate treatment. With advanced
imaging technologies, it has become possible to
detect diseases in their early stages and guide
treatment more accurately and effectively.

25. Thank you for your attention