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IMAGE RECONSTRUCTION. ALGORITHM -A SET OF RULES OR DIRECTIONS FOR GETTING SPECIFIC OUTPUT FROM SPECIFIC INPUT. ALGORITHM MUST TERMINATE AFTER FINATE NUMBER OF STEPS . DETECTORS. PRE-PROCESING. REFORMATTED RAW DATA. CONVOLUTION WITH FILTER. IMAGE RECONSTRUCTION ALGORITHM. IMAGE: STORAGE
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ALGORITHM-A SET OF RULES OR DIRECTIONS FOR GETTING SPECIFIC OUTPUT FROM SPECIFIC INPUT
DETECTORS PRE-PROCESING REFORMATTED RAW DATA CONVOLUTION WITH FILTER IMAGE RECONSTRUCTION ALGORITHM IMAGE: STORAGE DISPLAY RECORDING ARCHIVING RECONSTRUCTED IMAGE
HISTORY OF IMAGE RECONSTRUCTION • 1917 RADON DEVELOPED MATHEMATICALSOLUTIONS TO THE PROBLEM OF IMAGE RECONSTRUCTION FROM A SET OF PROJECTIONS. UTILIZED IN SOLVING PROBLEMS IN ASTRONOMY AND OPTICS. • 1961 FINALLY THESE TECHNIQUES WERE USED IN MEDICINE.
HOUNSFIELD’S IMAGES—NOISY BECAUSE OF HIS RECONSTRUCTION METHOD. CONVOLUTION BACK PROJECTION USED TO IMPROVE IMAGE QUALITY AND SHORTEN PROCESSING TIME.( USED BY Shepp & Logan)
ORIGINAL DATA FILTERED DATA
CONVOLUTION BACK PROJECTION DEVELOPED BY: • RAMCHANDRAN • LAKSHMINARAYANAN
BEAM GEOMETRIES AND DATA ACQUSITION • PARALLEL –SLOW • FAN -FASTER
Algorithms applicable to CT Back projection Iterative methods Analytic methods
BACK PROJECTION • ALSO CALLED SUMMATION METHOD OR LINEAR SUPERPOSITION METHOD
Example image of how a cube generates different projections depending on the angle of projection
ITERATIVE ALGORITHMS • SIMULTANEOUS ITERATIVE RECONSTRUCTION TECHNIQUE • ITERATIVE LEAST SQUARES TECHNIQUE • ALGEBRAIC RECONSTRUCTION TECHNIQUE
ITERATIVE TECHNIQUES ARE NOT USED IN TODAY’S COMMERCIAL SCANNERS
ANALYTIC RECONSTRUCTION ALGORITHMS • FOURIER RECONSTRUCTION • FILTERED BACK PROJECTION USED IN MODERN CT SCANNERS
FILTERED BACK-PROJECTIONCONVOLUTION METHOD • PROJECTION PROFILE IS FILTERED OR CONVOLVED TO REMOVE THE TYPICAL STAR LIKE BLURRING THAT IS CHARACTERISTIC OF THE SIMPLE BACK PROJECTION.
STEPS IN FILTERED BACK PROJECTION • ALL PROJECTION PROFILES ARE OBTAINED • THE LOGARITHM OF DATA IS OBTAINED • LOGARITHMIC VALUES ARE MULTIPLIED BY DIGITAL FILTER • FILTERED PROFILES ARE BACKPROJECTED • THE FILTERED PROJECTIONS ARE SUMMED AND THE NEGATIVE AND POSITIVE COMPONENTS ARE CANCELLED
FOURIER RECONSTRUCTION • USED IN MRI • NOT USED IN CT BECAUSE OF COMPLICATED MATHEMATICS
FOURIER TRANSFORM • RADIOGRAPH –AN IMAGE IN SPATIAL DOMAIN • IN FOURIER TRANSFORM IMAGE IN FREQUENCY DOMAIN • CAN BE RETRANSFORMED BACK TO SPATIAL DOMAIN BY WITH THE INVERSE FOURIER
TYPES OF DATA • MEASUREMENT DATA • RAW DATA • CONVOLVED DATA • IMAGE DATA
MEASUREMENT DATA(SCAN DATA) • DATA THAT ARISES FROM DETECTORS. IT NEEDS TO BE PREPROCESSED TO ELIMINATE ARTIFACTS.
RAW DATA • IT’S THE RESULT OF SCAN DATA BEING PRE-PROCESSED
CONVOLVED DATA • FILTERED BACKPROJECTION IS THE ALGORITHM USED BY MODERN CT. • IT REQUIRES FILTERING AND THEN BACKPROJECTION. RAW DATA IS FILTERED USING MATHEMATICAL FILTER OR KERNEL (CONVOLUTION) • IT REMOVES BLURR. CONVOLUTION CAN ONLY BE APPLIED TO RAW DATA.
IMAGE DATA(RECONSTRUCTED DATA) • CONVOLVED DATA THAT HAVE BEEN BACKPROJECTED INTO THE IMAGE MATRIX TO CREATE CT IMAGES DISPLAYED ON THE MONITOR.
DETECTORS PREPROCESSING SCAN DATA RAW DATA CONVOLUTION CONVOLVED DATA DATA BACK PROJECTION
ALGORITHM vs NOISE DETAIL EDGE-ENHANCEMENT STANDARD SMOOTHING NOISE
RECONSTRUCTION IN SPIRAL CT • FILTERED BACK PROJECTION USED + INTERPOLATION BACAUSE OF THE CONTINUOUS MOVEMENT OF THE PATIENT IN THE Z-DIRECTION. ( TO ELIMINATE MOTION BLURR)
RECONSTRUCTION IN MULTISLICE SPIRAL CT • INTERLACED SAMPLING • LONGITUDINAL INTERPOLATION • FAN BEAM RECONSTRUCTION
RECONSTRUCTION ALGORITHM COMPARISON • ANALYTIC METHODS ARE FASTER THAN ITERATIVE ALGORITHMS. • FILTERED BACK PROJECTION IS USED IN MODERN CT SCANNERS