MEDICAL IMAGE PROCESSING Flashcards

1
Q

What are the things included in a medical diagnosis?

A

Consultation,
Physical Examination
Medical Tests

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2
Q

Importance of medical image

A
  • diagnose, treat and cure px w/o causing any harmful side effects
  • see a px w/o having to cut them open
  • benefit px w/o adding to the already high medical costs
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3
Q

Give 5 imaging modalities

A
xray
computed tomography
magnetic resonance imaging
single-photon emission computed tomography
Positron emission tomography
ultrasound
nuclear magnetic resonance
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4
Q

What can be combined with either CT/MRI?

A

PET

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5
Q

What is f on fMRI? what does it do?

A

F-functional

conducts functional exams

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6
Q

Why is there a specific modality for a specific disease/disease process?

A

Because of the difference in atomic no. of the body

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7
Q

Give all 5 processes of the computer vision system

A
Image Acquisition
Image Processing
Segmentation
Feature Estimation
Data Analysis
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8
Q

What is included in feature estimation?

A

geometrical, topological, texture

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9
Q

What is included in data analysis?

A

recognition, classification, interpretation

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10
Q

Give 3 levels of processing

A

Low-level
Intermediate-level
High-level

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11
Q

What are under the LL, IL, and HL?

A

LL - Image Acquisition & Preprocessing
IL - Segmentation & Representation and Description
HL - Recognition and Interpretation

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12
Q

Differentiate LL, IL, HL

A

LL - standard procedures are applied & no intelligent capabilities are required

IL - extract and characterize components in the image and require some intelligent capabilities

HL - recognition and interpretation & require high intelligent capabilities

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13
Q

Give the 5 sections of the architecture module

A
Formation
Enhancement/Preprocessing
Visualization
Analysis
Management
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14
Q

Includes all the steps from capturing the image to forming a digital image matrix

A

IMAGE FORMATION

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15
Q

2 sections of image formation

A

Image acquisition and digitization

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16
Q

Difference between image acqui. and digitization

A

IA - done by the equipment; produces binary codes

D - Implies a discrete nature of the image

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17
Q

2 steps of digitization and define

A

Sampling Rate - determines the spatial resolution of the digitized image

Quantization Level - determines the number of grey levels in the DI

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18
Q

What does pre-processing include?

A

noise suppression, contrast enhancement, intensity equalization

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19
Q

What are the 5 processes under pre-processing?

A
enhancement
filtering
smoothing
registration
transformation
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20
Q

It processes an image so that the result is more suitable than the original image

A

enhancement

21
Q

2 kinds of enhancement and define

A

SPATIAL DOMAIN METHODS - point processing, histogram equalization, image subtraction

FREQUENCY DOMAIN METHODS - fourier transform

22
Q

what does filtering do?

A

remove noise

23
Q

What are the techniques under filtering?

A

Averaging filter
median filter
max/min filter

24
Q

What does smoothing do?

A

diminish the effects of camera noise, spurious pixel values

25
2 methods of smoothing
neighborhood averaging | edge-preserving smoothing
26
what does registration do?
register exams done under the same patient
27
2 kinds of registration and define
UNIMODAL -same modality used | MULTI-MODAL - different modalities used
28
It can be simple arithmetic operations on images or complex mathematical operations w/c convert images from one representation to another
transformation
29
3 techniques under transformation
Discrete Fourier Transfer Discrete Cosine Transfer Discrete Wavelet Transfer
30
Image analysis includes all steps of what?
processing
31
3 parts of image analysis
segmentation, feature extraction, classification
32
3 kinds of segmentation
pixel-based, edge-based, region based
33
what are the 3 types of pixel-based
thresholding, adaptive thresholding, clustering
34
what are the 3 types of edge-based
live wire segmentation, snake algorithm, active contour algorithm
35
what are the 3 types of region based
agglomerative algo. divisive algo. hybrid algo.
36
it is defined as the first step of high level intelligent image analysis
feature extraction
37
levels of FE
``` data region texture edge pixel ```
38
2 kinds of classification
static and synthatic
39
refers to all types of manipulation of the matrix resulting in an optimized output of the image
image visualization
40
sums up all techniques that provide efficient storage, communication etc
Image management
41
IM includes
compression archive retrieval communication
42
When is a general performance true positive and false positive
TP - object is present and observed | FP - object isn't present but observed
43
When is GP false negative and true negative?
FN - object is present but not observed | TN - object is not present and not observed
44
it is melting together images from different modalities
fusion imaging
45
4 types of list of applications
diagnosis studying disease progression image guided surgery patient comparison/atlas construction
46
it is combining into form multiple imaging modalities
diagnosis
47
monitoring changes in size, shape, position etc
studying disease progression
48
relating pre-operative images
image-guided surgery
49
relating one's individual anatomy to a standardized atlas
patient comparison/atlas construction