![]() XNAT: ORCHESTRATING THE IMAGE ANALYSIS OF LARGE PATIENT COHORTS 18.6. EXAMPLE PROBLEM FOR CONTAINERIZATION 18.5. IMPROVED DICOM SUPPORT BY MATLAB-JAVA INTEGRATION 18.3. CONCLUSION CHAPTER 18: Image processing at scale by containerizing’ MATLAB 18.1. AUTOMATIC ANALYSIS OF QUALITY CONTROL IMAGES 17.3. CONCLUSIONS CHAPTER 17: Automating daily QC for an MRI scanner 17.1. CONCLUSION: GENERATING BREAST TISSUE CHAPTER 16: xrTk: a MATLAB toolkit for x-ray physics calculations 16.1. CONCLUSION CHAPTER 15: Mammography and breast tomosynthesis simulation using Perlin noise 15.1. RECONSTRUCTING THE SOURCE-TO-SURFACE DISTANCE 14.5. RECONSTRUCTING THE PATIENT-BEAM ALIGNMENT 14.4. CONCLUSION CHAPTER 14: Reconstructing the geometry of x-ray interventions 14.1. CALCULATING THE SIZE-SPECIFIC DOSE ESIMATE 13.5. CALCULATING SIZE METRICS FROM CT AXIAL IMAGES 13.4. CONCLUSIONS CHAPTER 13: Methods of determining patient size surrogates using CT images 13.1. CONCLUSIONS CHAPTER 12: Parsing and analyzing Radiation Dose Structured Reports 12.1. APPLICATIONS IN AUTOMATIC TUBE CURRENT MODULATION 11.5. CONCLUSION CHAPTER 11: Automating quality control tests and evaluating ATCM in computed tomography 11.1. SUMMARY OF VALIDATION PROCESS AND OUTCOMES 10.8. AN IN-HOUSE SOFTWARE VALIDATION CHECKLIST 10.4. THE TRENCH IN QUESTION: RADIOCHROMIC FILM DOSIMETRY 10.3. HEALTH INFORMATION PRIVACY SECTION II: Problem-solving: examples from the trenches CHAPTER 10: Applying good software development processes in practice 10.1. CONCLUSION CHAPTER 9: Regulatory considerations when deploying your software in a clinical environment 9.1. CREATING EXECUTABLES WITH THE MATLAB COMPILER 8.7. CHOOSING THE OPTIMAL APPROACH: GUI OR NOT? 8.5. SHARE CODE USING OTHER SOURCE-CODE HOSTING SITES 8.4. SHARE CODE USING MATLAB FILE EXCHANGE 8.3. CONCLUSION CHAPTER 8: Sharing software 8.1. CONCLUSION CHAPTER 7: Good programming practices 7.1. WHEN TO USE OTHER PROGRAMMING LANGUAGES AND ENVIRONMENTS 6.3. CONCLUSION CHAPTER 6: Integration with other programming languages and environments 6.1. AUTOMATING THE SNR CALCULATION USING MATLAB 5.4. CONCLUSION CHAPTER 5: Creating automated workfows using MATLAB 5.1. CONCLUSION CHAPTER 4: Importing, manipulating and displaying DICOM data in MATLAB 4.1. CONCLUSION CHAPTER 3: Data sources in medical imaging 3.1. CONDITIONAL OPERATORS AND LOGICAL INDEXING 2.6. CONCLUSION CHAPTER 2: MATLAB fundamentals 2.1. WITH GREAT POWER COMES GREAT RESPONSIBILITY 1.5. WHAT PROGRAMMING CAN DO FOR YOUR CLINIC: ENABLE RESEARCH AND INNOVATION 1.4. WHAT PROGRAMMING CAN DO FOR YOUR CLINIC: CHANGE THE NATURE OF ROUTINE WORK 1.3. Just a word of warning though… obviously if you use different conversions for your different images, the intensities will not be cross comparable between images.Table of contents : Cover Half Title Series Page Title Page Copyright Page Dedication Contents SECTION I: General topics CHAPTER 1: The role of programming in healthcare 1.1. Run("Enhance Contrast.", "saturated=0 normalize use") Or tell the enhance contrast command (as Johannes recommended) to use the stack statistics. Stack.getStatistics(voxelCount, mean, min, max, stdDev) In answer to your other question, if you want the stack statistics to manually set your display range, you can use this command to get statistics for the entire stack: Or you can add the command to switch it off: You can switch on or off ‘scale when converting’ in the menu: Edit ▷Options ▷ Conversions Your top example probably isn’t behaving as you expect because of this. ![]() I haven’t run your code, but here are a couple of things I think might help.Īs default ImageJ scales the conversion based on the display range for lossy down conversions. When I apply the converting code, I see in different images, different background values whereas when I do it by opening all the images in imageJ, I have only one background value.Ĭ = round(65535*(getPixel(x,y)-(5987.0))/(125083.0)) My 32 bits images background has only one value. I have an issue with a macro which converts 32 bit images in 16 bit images in headless mode.
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