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Introduction to IDL

Introduction to IDL. Dr James Scuffham. What is IDL?. I nteractive D ata L anguage. “Procedural” programming language Compiled functions and procedures OR run-time interpreter Enormous library of pre-written and validated routines Widely used in the medical imaging community.

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Introduction to IDL

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  1. Introduction to IDL Dr James Scuffham

  2. What is IDL? Interactive DataLanguage • “Procedural” programming language • Compiled functions and procedures OR run-time interpreter • Enormous library of pre-written and validated routines • Widely used in the medical imaging community

  3. What can it do? • Data Visualisation: • Plot graphs and display images • Animate dynamic data • Volume rendered surface plots • Vector field visualisation • Application development: • ‘Widgets’ • Cross-platform capability: “Virtual Machine” • Data Analysis and modelling: • Maths: calculus, solve equations, FFT, DWT, optimisation • Statistics: regression, hypothesis testing, curve fitting • Image Processing: • Translate, transpose, rotate, zoom, resample, extract, warp • Regions of interest, profiles, histograms • Filtering, edge enhancement, 2D-FFT • Convolution, correlation, feature extraction

  4. Applications in Nuclear Medicine • Supports DICOM and Interfile formats • Displaying static images, drawing ROIs, obtaining statistics • Displaying dynamic images, plotting time-activity curves, processing results • Performing advanced image processing

  5. Basic Image Processing READ_INTERFILE, ‘muga.HDR’, X frame0=ROTATE(X,7) frame0 = CONGRID(frame0,512,512) XROI, BYTSCL(frame0), STATISTICS=stats

  6. Dynamic Images PRO cine_muga, data, repeats data = BYTSCL(ROTATE(data,7)) data = CONGRID(data, 512, 512) howbig = SIZE(data) FOR c = 0, howbig[3]*repeats DO BEGIN display_image = data[*,*,(c MOD howbig[3]-1)] TV, display_image ENDFOR END

  7. Curve Processing left_area = INT_TABULATED(time, left_kid) right_area = INT_TABULATED(time, right_kid) left_div_func = 100.0*left_area/(left_area+right_area) right_div_func = 100.0*right_area/(left_area+right_area) Left = 56% Right = 44%

  8. 3D Data Visualisation • slices • isosurfaces • contours

  9. Application Development

  10. Advanced Image Processing

  11. Summary IDL is really useful….. ……and not just for image processing

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