RT202 Digital Medical Imaging Fundamentals & Medical Image File Formats

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78 Terms

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DIGITAL IMAGE

  • A two-dimensional (2D) function

  • f(x,y)

  • Where x & y = plane coordinates

  • f= amplitude (brightness level)

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Plane Coordinates

  • f(x,y)

  • Where x & y = __________?

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Amplitude (Brightness level)

  • f(x,y) where f=__________?

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VOXEL

If the digital image f(x,y,z) is 3-D, then the picture element is called a ____________?

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Volume Element

VOXEL is also known as??

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4-D Image Set
(fourth dimension is t)

As f(x,y,z) is collected through time t, the collection becomes a ??

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p & f

Symbols _______ are used interchangeably

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Used when mathematics is presented

Symbol f is ??

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Picture or image is being emphasized

Symbol p is ??

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MATRIX

A rectangular arrangement of numbers into rows & columns

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matrix element or entry.

Each number in a matrix is referred to as a ??

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Digitized

if the image is obtained through a digitizer

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Digital Images

 if it is generated digitally

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  • 0-255 (8-bit)

  • 0-511 (9-bit)

  • 0-1023 (10-bit)

  • 0-2045 (11-bit)

  • 0-4095 (12-bit)

The pixel (voxel) value (gray level) can range from:

Depending on the digitization procedure or the medical image generation procedure used 

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0-255

(8-bit)

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0-511

(9-bit)

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0-1023

(10-bit)

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0-2045

(11-bit)

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0-4095

(12-bit)

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Grey Levels

Represent physical, chemical, & physiological properties of the state of anatomical structures or physiological processes when the image was captured

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Digitizer

Represents the optical density of the small square area of the film

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CT / COMPUTED TOMOGRAPHY

Represents the relative linear attenuation coefficient of the tissue

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Bone = 1000

Muscle = 50

Brain White = 45

Brain Gray = 40

Blood = 20

Water = 0

Fat = -100

Lung = -200

Air = -1000

Hounsfield Units

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MRI / Magnetic Resonance Imaging

Corresponds to the MR signal response of the tissue

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T1 Weighted Sequence

  • (Black)

  • Low SI

  • Intermediate SI

  • High SI

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UTZ / Ultrasound

Echo signal of the utz beam when it penetrates the tissues

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IMAGE SIZE

2D projection image is the ordered pair (M,N) signals

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IMAGE SIZE

Size of the image is the product of M x N bits where 2k represents the gray level range

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IMAGE SIZE

Sectional images of a 3D volume, most of the time M=N

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Image Display

Digital image can be printed on film or paper as hard copy or displayed on a CRT & LCD as a soft copy

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Image Display

To display a soft copy digital medical image, the pixel values are first converted to analog-signals, to digital-to-analog conversion

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Image Display

Current software display devices can display up to a 2K image on one screen

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Image Display

Up to date, no commercially available system can handle a 4K image

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  • Spatial Resolution

  • Density Resolution

  • Signal-to-Noise Ratio

Quality of a digital image, is measured by three parameters:

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SPATIAL RESOLUTION & DENSITY RESOLUTION

related to the number of pixels and the range of pixel values used to represent the object of interest in the image

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related to spatial resolution

In a square image,

N x N x k, where:


N is?
k is?

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density resolution

In a square image,

N x N x k, where:


k is?

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SIGNAL-TO-NOISE RATIO

A high signal-to-noise ratio means that the image has strong signal with little noise, as a result, the image would please the eyes as seeing a good quality image

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IMAGE FILE FORMAT

Provide a standardized way to store the information describing an image in a computer file

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  1. One or more images representing the projection of an anatomical volume onto an image plane (projection or planar imaging)

  1. A series of images representing thin slices through a volume (tomographic or multi-slice 2D imaging)

  1. A set of data from a volume (volume or 3D)

  1. Multiple acquisition of the same tomographic or volume image over time to produce a dynamic series of acquisitions (4D)

MEDICAL IMAGE DATA SET CONSISTS:

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FILE FORMAT

Describes how the image data are organized inside the image file and how the pixel data should be interpreted by a software for the correct loading and visualization.

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  • Analyze

  • Nifti

  • Minc

  • Dicom

4 MAJOR FILE FORMATS USED IN MEDICAL IMAGING:

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MEDICAL IMAGE

Representation of the internal structure or function of an anatomic region in the form of an array of picture elements called pixels or voxels.

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  • Imaging Modality

  • Acquisition Protocol

  • Reconstruction

  • Post-processing

NUMERICAL VALUE OF A PIXEL DEPENDS ON:

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PIXEL DEPTH

  • Number of bits used to encode the information of each pixel

  • Every image is stored in a file & kept in the memory of a computer as group of bytes(group of 8 bits)

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Color Depth

The amount of information per pixel is ??

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Monochrome

1 bit of information per pixel

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Grey Scale

8 bits of information per pixel

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Color (RGB)

8 or 16 bits of information per pixel

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True Color (RGB)

24 or 32 bits of information per pixel

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PHOTOMETRIC INTERPRETATION

  • Specific how the pixel data should be interpreted for the correct image display as a monochrome or color image

  • Each pixel of the image is associated with a color in a predefined color map

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Monochrome images

have one sample per pixel & no color information is stored in the image.

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X-ray, CT, MRI

gray scale photometric interpretation

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Nuclear Medicine, PET, SPECT

color map or color palette/LUT

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METADATA

  • Information that describes the image

  • Thanks to it, a software application is able to recognize & correctly open an image in a supported file format

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  • Matrix Dimensions

  • Spatial Resolutions

  • Pixel Depth

  • Photometric Interpretation

Metadata stored at the beginning of the file as a header & contains at least the image:

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PIXEL DATA

Numerical values of the pixels are stored

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  1. Analog Image

  2. Digital Sampling

  3. Pixel Quantization

Creation of a Digital Image:

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  • DICOM

  • Analyze, Nifti & Minc

2 CATEGORIES FOR MEDICAL IMAGE FILE FORMATS:

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DICOM

Formats intended to standardize the images generated by diagnostic modalities

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Analyze, Nifti & Minc

Formats born with the aim to facilitate & strengthen post-processing analysis

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1980’s | Mayo Clinic in Rochester, MN, USA

Analyze was founded? Year and Location?

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Analyze

  • Consists of two binary files: image file with extension:

.img | contains the voxel raw data 

.hdr | header file, contains metadata

Ex: brainct.img 

      brainct.hdr

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.img

contains the voxel raw data 

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.hdr

header file, contains metadata

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Neuroimaging Informatics Technology Initiative

meaning of NIFTI

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2000s | National Institute of Health

NIFTI was founded? year & location?

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NIFTI (Neuroimaging Informatics Technology Initiative)

  • With the intent to create a format for neuroimaging maintaining the advantages of the Analyze format 

  •  Can be thought as revised Analyze format

  • Almost identical to the Analyze format, but offers a few improvements:

    1. Merging of the header & image information into one file “.nii”

    2. Possibility of extending the header information

 Ex. brain.nii 

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1992 | Montreal Neurological Institute (MNI)

MINC was founded? year and location?

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MINC

  • To provide a flexible data format for medical imaging

  •  Based on the Network Common Data Format (NetCDF) Minc 1 to Hierarchical Data Format version 5  (HDF5) Minc 2

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1990s  

ACR - American College of Radiology

NEMA – National Electric Manufacturers Association

DICOM was founded? year and location?

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American College of Radiology

ACR

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National Electric Manufacturers Association

NEMA

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DICOM

  • Backbone of every medical imaging department

  • Pixel data cannot be separated from the description of the medical procedure which led to the formation in the image itself 

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.img & .hdr

Extension:

Analyze

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.nii

Extension:

Nifti

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.mnc

Extension:

Minc

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.dcm

Extension:

Dicom