- •Preface
- •Acknowledgments
- •Introduction
- •Diagnostic Imaging of the Eye
- •Anatomy and physiology of the eye
- •Diseases and conditions that affect the retina
- •Imaging of the retina
- •Interpretation of Images of the Retina
- •Scope and Organization of the Book
- •Detection of Anatomical Features of the Retina
- •Detection of the optic nerve head
- •Detection of the macula
- •Detection of blood vessels
- •Detection of Abnormal Features
- •Longitudinal Analysis of Images
- •Remarks
- •Filters for Preprocessing Images
- •Detection of Edges
- •Prewitt and Sobel operators
- •The Canny method
- •Detection of Oriented Structures
- •The matched filter
- •The Gabor filter
- •Detection of Geometrical Patterns
- •The Hough transform
- •Phase portraits
- •Remarks
- •The DRIVE Dataset
- •The STARE Dataset
- •Scale Factor for Converting Between the Two Datasets
- •Annotation of Images of the Retina
- •Evaluation of the Results of Detection
- •Measures of distance and overlap
- •Remarks
- •Derivation of the Edge Map
- •Analysis of the Hough Space
- •Procedure for the detection of the ONH
- •Selection of the circle using the reference intensity
- •Results of Detection of the Optic Nerve Head
- •Discussion
- •Remarks
- •Derivation of the Orientation Field
- •Analysis of the Node Map
- •Results of Detection of the Optic Nerve Head
- •Discussion
- •Comparative analysis
- •Remarks
- •Concluding Remarks
- •References
- •Index
89
Index
camera noise, 65 closing, 16
computer-aided analysis, 4, 6 computer-aided diagnosis, 4, 9
detection
abnormal features, 9, 12 anatomical features, 9 blood vessels, 12, 21, 52, 59 circles, 9, 24, 27, 43
edges, 17, 43, 53 lines, 22, 25
dilation, 15, 16
DRIVE, 24, 37, 40, 41, 46, 49 drusen, 6
edge detection
Canny, 19–21, 43, 44, 53 Prewitt, 17, 19
Sobel, 17, 19–21, 28, 29, 33, 43, 44, 53 edge map, 10, 19, 20, 24, 27–29, 43, 44, 46, 48,
53 eigenvalues, 32, 34 erosion, 15–18
Euclidean distance, 39, 64, 65
evaluation of results, 39, 51, 52, 54, 56, 64, 65 eye
anatomy, 1
false positive, 40
field of view (FOV), 2, 37–39 filter
Gabor, 12, 22–25, 27, 59, 61, 62, 64 matched, 10, 12, 21, 22
mean, 15 median, 15
morphological, 10, 12, 15–18 fovea, 3, 4, 12
free-response receiver operating characteristics (FROC), 40, 51, 53, 55, 64, 67, 68
fundus image, 2–4, 9
Gabor filter, 22–25, 27, 33, 35, 59 gradient magnitude, 19, 21
Hough accumulator, 44, 46 Hough space, 46, 48, 49, 51, 52, 55
Hough transform, 24, 43, 44, 53, 69, 71, 72
landmark, 5, 9
luminance component, 15, 21
macula, 3, 4, 11
magnitude response, 59, 61, 62, 64 mask, 15, 17, 18, 39, 40
node map, 25, 27, 35, 60, 62, 64, 65, 68–72
opening, 15–18 optic cup, 39, 56 optic disc, 1
optic nerve head (ONH), 1, 3, 4, 9, 39, 43 orientation field, 24, 25, 27, 31, 33–35, 59, 61,
62, 64, 75
overlap, 39–41, 49, 51, 52, 55, 56, 72
90 INDEX
peripapillary atrophy, 39
phase portraits, 29, 33, 59, 69, 71, 72 Prewitt operators, 17, 19
retina, 1
disorders, 1, 4–6, 37, 38, 56, 65 imaging, 2
vascular architecture, 4
vein and artery, 1, 39, 59, 69 retinopathy of prematurity (ROP), 1
scale factor, 38, 40, 41, 46
sclera, 39
scleral cresent, 39, 56 sensitivity, 40, 41
sobel operators, 17, 19, 20, 28, 29, 43, 46, 48, 53 spatial resolution, 23, 37, 38, 46
STARE, 37, 39, 40, 43, 46, 51
threshold, 43, 46, 48, 53–55, 62 tortuosity, 2, 4, 5, 12
true negatives, 40
vascular arcades, 5
