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Computed Tomography Computed Tomography

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Page 1: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Computed TomographyComputed Tomography

Page 2: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Computed TomographyComputed Tomography

• Introduced in 70’s• Principle: Internal structures of an

object can be reconstructed from multiple projections of the object

Page 3: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Philips CTVision Philips CTVision SecuraSecura

Page 4: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Mechanism of CTMechanism of CT

• X-ray tube is rotated around the patient

• Radiation transmitted through the patient is absorbed by a ring of detectors

• Absorbed radiation is converted to an image

Detectors

Page 5: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

DetectorsDetectors

• Scintillation crystals• Xenon-gas ionization chamber

Page 6: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Scintillation CrystalsScintillation Crystals

• Materials that produce light (scintillate) when x-rays interact

• Similar to intensifying screen• Number of light photons produced

energy ofincident x-ray beam• Light photons need to be

converted to electrical signal

Page 7: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Ionization ChamberIonization Chamber

• X-ray ionizes xenon gas

• Electrons move towards anode

• Generates small current

• Converted to electrical signal

Page 8: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

AttenuationAttenuation

• Reduction in the intensity of an x-ray beam as it traverses matter, by either the absorption or deflection of photons from the beam

Page 9: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Pixel - VoxelPixel - Voxel

• Pixel - picture element

• Voxel - volume element

Page 10: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

CT NumberCT Number

Typical CT values

Tissues Range (Hounsfield unit)

Air -1000

Lung -200 to –500

Fat -50 to –200

Water 0

Muscle +25 to +45

Bone +200 to +1000

Page 11: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Image Display: WindowingImage Display: Windowing

• Usual CRT can display ~256 gray levels

• 2000 CT numbers• Select the CT

number of the tissue of interest, then range of ±128 shades

Page 12: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Cone Beam CTCone Beam CT

• Uses cone shaped x-ray beam.

• Beam scans the head in 360 degrees.

• Raw data are reformatted to make images

Page 13: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object
Page 14: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object
Page 15: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Benefits of Cone Beam Benefits of Cone Beam ImagingImaging

• Less radiation than multi-detector CT due to focused X-rays (less scatter)

• Fast and comfortable for the patient (9 to 60s)

• Procedure specific to head and neck applications

• One scan yields multiple 2D and 3D images

Page 16: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Anatomic Landmarks on Anatomic Landmarks on CTCT

Page 17: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object
Page 18: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Axial CT SectionsAxial CT Sections

Page 19: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object
Page 20: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object
Page 21: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object
Page 22: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

1. Zygomatic Arch2. Lat. Pterygoid plate3. Optic canal4. Sphenoid sinus5. Soft tissues of

nasopharynx

Coronal Coronal SectionsSections

Page 23: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

1. Frontal bone (orbital plate)

2. Ethmoid air cells3. Middle concha4. Maxillary sinus5. Inferior concha

Page 24: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

1. Vomer2. Ramus3. Follicle of molar4. Gr. wing of

Sphenoid5. Tongue6. Mylohyoid m

Page 25: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Magnetic Resonance Magnetic Resonance ImagingImaging

Page 26: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Magnetic Resonance Magnetic Resonance ImagingImaging• Three steps of MRI• MRR

– Magnetic Field– Radio-frequency Pulse– Relaxation

Page 27: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Magnetic Moment Magnetic Moment DirectionDirection

Page 28: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Application of RF PulseApplication of RF Pulse

Relaxation

Page 29: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Spin or Angular MomentSpin or Angular Moment

• 1H, 14N, 31P, 13C, and 23Na has nuclear spin

• They spin around their axes similar to earth spinning around its axis

• Elements with nuclear spin has odd number of protons, neutrons

Page 30: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Magnetic MomentMagnetic Moment

• When a nucleus spins, it has angular momentum

• When the spinning nucleus has a charge, it has magnetic dipole moment

• Moving charges produce magnetic fields

Page 31: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Hydrogen NucleusHydrogen Nucleus

• Most abundant• Yields strongest MR signal

Page 32: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Radiofrequency PulseRadiofrequency Pulse

• RF pulse is an electromagnetic wave

• Caused by a brief application of an alternating electric current

Page 33: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Receiver CoilsReceiver Coils

• Send or “broadcast” the RF pulse• Receive or “pick up” the MR

signals• Types: Body coils, head coils, and

a variety of surface coils

Page 34: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Philips Gyroscan InteraPhilips Gyroscan Intera

Page 35: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

RelaxationRelaxation

• This is the process that occurs after terminating the RF pulse

• The physical changes caused by the RF pulse revert back to original state

Page 36: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

T1- Spin Lattice RelaxationT1- Spin Lattice Relaxation

• At the end of RF pulse, transversely aligned nuclei tend to return back to equilibrium

• This return to equilibrium results in the transfer of energy

Page 37: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

T2- Spin-spin RelaxationT2- Spin-spin Relaxation

• While the nuclei are in transverse phase, their magnetization interfere with each other.

• This interference leads to the loss of transverse magnetization.

Page 38: Computed Tomography. Introduced in 70’s Principle: Internal structures of an object can be reconstructed from multiple projections of the object

Magnetic Field StrengthsMagnetic Field Strengths

• Measured in Tesla or Gauss• Usual MRI field strength ranges

from 0.5 to 2.0 Tesla• Earth’s magnetic field is about

0.00005 Tesla (0.5 Gauss)