[go: up one dir, main page]

Dobbins III, 2000 - Google Patents

Image quality metrics for digital systems

Dobbins III, 2000

Document ID
8387784465770334269
Author
Dobbins III J
Publication year
Publication venue
Handbook of medical imaging

External Links

Snippet

The last few years have seen a rapid increase in the number of digital imaging devices produced for radiographic applications. With digitized video/image intensifiers, computed radiography (CR), and more recently the advent of flat-panel imagers, an almost bewildering …
Continue reading at books.google.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/002—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/003—Deblurring; Sharpening
    • G06T5/004—Unsharp masking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10116—X-ray image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/58—Testing, adjusting or calibrating devices for radiation diagnosis
    • A61B6/582—Calibration
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/48—Diagnostic techniques
    • A61B6/482—Diagnostic techniques involving multiple energy imaging

Similar Documents

Publication Publication Date Title
Dobbins III Image quality metrics for digital systems
Wang et al. Acuros CTS: A fast, linear Boltzmann transport equation solver for computed tomography scatter–Part II: System modeling, scatter correction, and optimization
US11957501B2 (en) Methods and apparatus for extended low contrast detectability for radiographic imaging systems
Bochud et al. Estimation of the noisy component of anatomical backgrounds
US7480365B1 (en) Dose reduced digital medical image simulations
Seibert Tradeoffs between image quality and dose
JP5834129B2 (en) Enhanced low-contrast detection capability for radiographic imaging systems
Samei et al. Intercomparison of methods for image quality characterization. i. modulation transfer function a
Brady et al. Characterization of adaptive statistical iterative reconstruction algorithm for dose reduction in CT: a pediatric oncology perspective
Evans et al. Noise‐resolution tradeoffs in x‐ray CT imaging: a comparison of penalized alternating minimization and filtered backprojection algorithms
Alsleem et al. Quality parameters and assessment methods of digital radiography images
EP1892953B1 (en) X-Ray image processing system
Starman et al. Investigation into the optimal linear time‐invariant lag correction for radar artifact removal
US12437452B2 (en) Noise suppression using deep convolutional networks
Yang et al. Computer modeling of the spatial resolution properties of a dedicated breast CT system
Imai et al. Statistical characteristics of streak artifacts on CT images: relationship between streak artifacts and mA s values
Michail et al. Figure of image quality and information capacity in digital mammography
Van Metter et al. Enhanced latitude for digital projection radiography
Tunissen et al. Development, validation, and simplification of a scanner‐specific CT simulator
Wang et al. Locally linear transform based three‐dimensional gradient L 0‐norm minimization for spectral CT reconstruction
Sprawls Optimizing medical image contrast, detail and noise in the digital era
Gennaro et al. Grid removal and impact on population dose in full‐field digital mammography
Khobragade et al. CT automated exposure control using a generalized detectability index
Yu et al. A novel grid regression demodulation method for radiographic grid artifact correction
Keelan et al. Relative impact of detector noise and anatomical structure on lung nodule detection