ct

Cards (102)

  • Computed Tomography (CT) scan technology evolution:
    • 1973: Computerized Transverse Axial Scanning introduced in the British Journal of Radiology
    • Radiological Society of North America later accepted the term Computed Tomography
    • Godfrey Newbold Hounsfield developed the first clinical prototype CT Brain scanner (EMI Mark 1) in 1971
    • Allan MacLeod Cormack developed a solution to the mathematical problem in CT in 1963-1964 and later shared the Nobel Prize with Hounsfield
  • Types of CT Scanners:
    • First-generation scanner: one or two detectors, 4½-minute scan
    • Second-generation scanner: 30 or more detectors, 40 slices in 10 minutes
    • Third-generation scanner: bank of up to 960 detectors, detectors and x-ray tube rotate 360°
    • Fourth-generation scanner: up to 4800 or more detectors on a fixed ring, only x-ray tube rotates, shorter scan times
  • Volume Scanning in CT:
    • Introduced by Dr. Willi Kalender in 1989 with slip-ring technology for continuous 360° rotation
    • Evolution from 1 slice per revolution in 1989 to 320 Slice in 2006-2007
    • Dual Source CT-Scanner introduced in 2006 with 256 slices
  • Digital Image Processing in CT:
    • Image digitization involves scanning, sampling, and quantization
    • Analog-to-Digital Conversion improves representation accuracy
    • Image-Processing Techniques include point operations, local operations, and global operations
    • Point Operations involve gray-level mapping, contrast enhancement, and histogram modification
    • Local Operations include spatial location filtering (convolution) and spatial frequency filtering (high-pass and low-pass filtering)
    • Global Operations like Fourier domain processing offer edge enhancement, image sharpening, and restoration
  • Radiation Dose Studies in CT:
    • Radiation dose optimization follows the ALARA philosophy for dose reduction
    • Various methods like ionization chambers and thermoluminescent dosimeters are used to measure and describe doses
    • Quality control procedures ensure optimal image quality and minimize artifacts in CT scanners
  • Applications of CT Technology:
    • CT fluoroscopy, CT angiography, 3D imaging, virtual reality imaging, and cardiac CT imaging
    • In nuclear medicine, CT scanners are combined with Positron Emission Tomography (PET) and Single-photon Emission Tomography (SPECT) scanners to form PET/CT and SPECT/CT scanners
    • Portable CT scanners are available for remote imaging in operating rooms, intensive care units, and emergency trauma units
  • Major Technology Trends in CT:
    • Iterative Reconstruction Algorithms aim to reduce image noise and radiation dose
    • Detector Technologies like solid-state detectors and gas-ionization detectors are crucial for image conversion
    • Spectral CT Imaging uses dual-energy CT for optimal visualization and demonstration of structures
  • Characteristics of Digital Images in CT:
    • Digital images are composed of a 2D matrix of numbers representing pixel regions
    • Pixels are square elements with discrete brightness levels
    • Voxels represent tissue volume in digital images
    • Bit Depth determines the color representation accuracy in digital imaging
  • Image Digitization Process in CT:
    • Involves scanning, sampling, and quantization for accurate representation
    • Analog-to-Digital Conversion improves signal representation accuracy
    • Image-Processing Techniques include point operations, local operations, and global operations
  • Image-Processing Techniques in CT:
    • Point Operations involve gray-level mapping, contrast enhancement, and histogram modification
    • Local Operations include spatial location filtering (convolution) and spatial frequency filtering (high-pass and low-pass filtering)
    • Global Operations like Fourier domain processing offer edge enhancement, image sharpening, and restoration
  • Why Digitize Images in CT:
    • Image enhancement, restoration, analysis, compression, and synthesis
    • Image-Processing Techniques include point operations, local operations, and global operations
  • Geometric Operations in CT:
    • Modify spatial position or orientation of pixels without affecting pixel intensity
    • Include scaling, sizing, rotation, and translation operations
  • Tomos is a Greek/Latin word meaning "section of larger work"
  • Radon, an Australian mathematician, probed the possibility to reconstruct a 2D or 3D image from a large number of projections
  • Types of CT systems:
    • Emission CT (Nuclear Medicine)
    • Transmission CT (X-ray imaging)
  • In 1973, Computerized Transverse Axial Scanning was introduced in the British Journal of Radiology
  • Godfrey Newbold Hounsfield, an inventor of computed tomography, was from Nottinghamshire, England
  • Dr. Robert Ledley developed the first whole-body CT scanner
  • Evolution of terms and how CT scan works
  • Dynamic Special Reconstructor was first installed in Mayo Clinic for dynamic function of organs in the Cardiovascular and Pulmonary System
  • Dr. Willi Kalender introduced and developed volume spiral CT Scanning in 1989
  • Comparison of single and multislice scanners
  • Dual-energy CT uses two different x-ray spectra to acquire two image datasets for the same region
  • Applications of volume scanning include CT fluoroscopy, CT angiography, 3D imaging, virtual reality imaging, and improved cardiac CT imaging
  • CT scanners are combined with Positron Emission Tomography (PET) Scanner and Single-photon Emission Tomography (SPECT) to form PET/CT and SPECT/CT scanners
  • CT is effective in diagnosing central nervous system diseases, detecting disorders like gliomas, metastases, and atrophy
  • High-speed CT scanners were introduced in 1975
  • CT scanners undergo quality control procedures and tests to ensure optimal image quality and minimize image artifacts
  • Other uses of CT include internal log defect detection, paleontology, and poultry meat inspection
  • Image processing techniques, characteristics of digital images, and image digitization
  • Image enhancement, restoration, analysis, compression, and synthesis are reasons for digitizing images
  • Image-processing techniques include point operations, local operations, and global operations
  • Geometric operations modify the spatial position or orientation of pixels in images
  • Analog-to-digital conversion involves dividing a picture into small regions, sampling, and quantization to assign brightness values to gray levels
  • Data Acquisition involves collecting patient information, such as electron density and linear attenuation coefficient, for imaging modalities like projection digital radiography and CT, using x-ray tubes and digital image detectors
  • Image Processing involves a digital computer processing an input image to produce an output image using the binary number system
  • Analog Images are continuous light intensity distributions on radiographs formed when light is focused on film or x-rays are projected onto x-ray film, or through photoelectronic means
  • Digital Images are numerical representations of objects created by converting information into digital form using an ADC. The computer processes the data, resulting in digital images that can be displayed
  • Digital images are composed of a 2D matrix of numbers, with columns (M) and rows (N) defining pixel regions. The dimension of the image is M, N, and its size is given by the relationship
  • Pixels are square elements with discrete brightness levels representing tissue characteristics being imaged