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DECONVOLUTION ANALYSIS OF
 RENOGRAPHIC CURVES AND
 TRANSIT TIME ASSESSMENT
     Dr V Sivasubramaniyan
    Dept. of Nuclear Medicine
             SSSIHMS
                *
       Dr G Venkataraman
      Mr Hari Nanda Kumar
              SSSIHL
                *
AIMS
 REPORT INDIGENOUS SOFTWARE

 CREATED BY OUR OWN STUDENTS

 Renal Parenchymal Transit Time Analysis

 UTILITY & CLINICAL SIGNIFICANCE
DECONVOLUTION ANALYSIS
     OF RENOGRAM.
Kenny et al  BMJ 1975.
Diffey et al  JNM 1976.
Piepsy et al  BJR 1982.
Lupton et al  NMC 1984
Britton et al  BJU 1987.
CONVOLUTION & DECONVOLUTION

 f (x) = A* exp (-a1*x) + B* exp (-a2*x)
 g (x) = 500./1 + exp {(x-xg) / x01}

Convolution = Viewing g(x) via the lens
 f(x) or vice versa.

Deconvolution = Deriving g(x) from
 known h(x) and f(x).
METHODOLOGY
        Platform : MATLAB Ver 5.0

 Simulation studies.
 Deconvolution with discrete data
  sets.
 Randomness checking.
 Smoothing procedures.
 Check out analysis from literature.
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ANALYTICAL STEPS

 Greaderauto

 Enter the file name of the curve

 H: 55470_k2  20021209  savescreen.2.jpg

 Enter the name of the patient

 Anushree sahoo
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RESULTS
 OBSTRUCTIVE       70 8 to 15 min

 NON-OBSTRUCTIVE 60 1.8 to 2.8 min

 TOTAL CASES      130
MERITS
 INDIGENOUSLY MADE

 BASED ON NATIVE PATIENT DATA

 WORKS ON P. C PLATFORM

 EASY & EFFECTIVE
DEMERITS
 MULTIPLE STEPS INVOLVED

 OPERATOR DEPENDANT

 REPRODUCIBILITY DIFFICULT

 REQUIRES PATIENCE & TRAINING
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  • 2. DECONVOLUTION ANALYSIS OF RENOGRAPHIC CURVES AND TRANSIT TIME ASSESSMENT Dr V Sivasubramaniyan Dept. of Nuclear Medicine SSSIHMS * Dr G Venkataraman Mr Hari Nanda Kumar SSSIHL *
  • 3. AIMS REPORT INDIGENOUS SOFTWARE CREATED BY OUR OWN STUDENTS Renal Parenchymal Transit Time Analysis UTILITY & CLINICAL SIGNIFICANCE
  • 4. DECONVOLUTION ANALYSIS OF RENOGRAM. Kenny et al BMJ 1975. Diffey et al JNM 1976. Piepsy et al BJR 1982. Lupton et al NMC 1984 Britton et al BJU 1987.
  • 5. CONVOLUTION & DECONVOLUTION f (x) = A* exp (-a1*x) + B* exp (-a2*x) g (x) = 500./1 + exp {(x-xg) / x01} Convolution = Viewing g(x) via the lens f(x) or vice versa. Deconvolution = Deriving g(x) from known h(x) and f(x).
  • 6. METHODOLOGY Platform : MATLAB Ver 5.0 Simulation studies. Deconvolution with discrete data sets. Randomness checking. Smoothing procedures. Check out analysis from literature.
  • 12. ANALYTICAL STEPS Greaderauto Enter the file name of the curve H: 55470_k2 20021209 savescreen.2.jpg Enter the name of the patient Anushree sahoo
  • 29. RESULTS OBSTRUCTIVE 70 8 to 15 min NON-OBSTRUCTIVE 60 1.8 to 2.8 min TOTAL CASES 130
  • 30. MERITS INDIGENOUSLY MADE BASED ON NATIVE PATIENT DATA WORKS ON P. C PLATFORM EASY & EFFECTIVE
  • 31. DEMERITS MULTIPLE STEPS INVOLVED OPERATOR DEPENDANT REPRODUCIBILITY DIFFICULT REQUIRES PATIENCE & TRAINING