Diagnostic Radiology Physics with MATLAB (R)
-10%
portes grátis
Diagnostic Radiology Physics with MATLAB (R)
A Problem-Solving Approach
Bujila, Robert; Poludniowski, Gavin; Helmenkamp, Johan
Taylor & Francis Inc
11/2020
292
Dura
Inglês
9780815393658
15 a 20 dias
875
Descrição não disponível.
1. The role of programming in healthcare. 2. MATLAB fundamentals. 3. Data Sources in Medical Imaging. 4. Importing, manipulating, and displaying DICOM data in MATLAB. 5. Creating automated Creating automated. 6. Integration with other programming languages and environments. 7. Good programming practices. 8. Sharing software. 9. Regulatory considerations when deploying your software in a clinical environment. 10. Applying good software development processes in practice. 11. Automating quality control tests and evaluating ATCM in computed tomography. 12. Parsing and analyzing Radiation Dose Structured Reports. 13. Method of determining patient size surrogates using CT images. 14. Reconstructing the exposure geometry in x-ray angiography and interventional radiology. 15. Simulation of anatomical structure in mammography and breast tomosynthesis using Perlin noise. 16. xrTk: a MATLAB toolkit for x-ray physics calculations. 17. Automating daily QC for an MRI scanner. 18. Image processing at scale by containerizing MATLAB. 19. Estimation of arterial wall movements. 20. Importation and visualisation of ultrasound data.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
DICOM Image;Medical Imaging;DICOM File;Medical Image Processing;DICOM;Image Processing;MATLAB Code;DICOM Standard;Computation in Medical Imaging;Data Sets;Medical Physics MATLAB;DICOM Data;MATLAB;DICOM Object;Diagnostic radiology;Perlin Noise;Interventional radiology;CT Number;Imaging modalities;Air Kerma;MATLAB Compiler;Software Validation;DRLs;DICOM Server;Breast Tomosynthesis;Medical Device;MATLAB's Image Processing Toolbox;Common Carotid;CTDI;Image Processing Toolbox;Computational Phantom;Irradiation Event;CT Axial Image;Image Analysis Tasks
1. The role of programming in healthcare. 2. MATLAB fundamentals. 3. Data Sources in Medical Imaging. 4. Importing, manipulating, and displaying DICOM data in MATLAB. 5. Creating automated Creating automated. 6. Integration with other programming languages and environments. 7. Good programming practices. 8. Sharing software. 9. Regulatory considerations when deploying your software in a clinical environment. 10. Applying good software development processes in practice. 11. Automating quality control tests and evaluating ATCM in computed tomography. 12. Parsing and analyzing Radiation Dose Structured Reports. 13. Method of determining patient size surrogates using CT images. 14. Reconstructing the exposure geometry in x-ray angiography and interventional radiology. 15. Simulation of anatomical structure in mammography and breast tomosynthesis using Perlin noise. 16. xrTk: a MATLAB toolkit for x-ray physics calculations. 17. Automating daily QC for an MRI scanner. 18. Image processing at scale by containerizing MATLAB. 19. Estimation of arterial wall movements. 20. Importation and visualisation of ultrasound data.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
DICOM Image;Medical Imaging;DICOM File;Medical Image Processing;DICOM;Image Processing;MATLAB Code;DICOM Standard;Computation in Medical Imaging;Data Sets;Medical Physics MATLAB;DICOM Data;MATLAB;DICOM Object;Diagnostic radiology;Perlin Noise;Interventional radiology;CT Number;Imaging modalities;Air Kerma;MATLAB Compiler;Software Validation;DRLs;DICOM Server;Breast Tomosynthesis;Medical Device;MATLAB's Image Processing Toolbox;Common Carotid;CTDI;Image Processing Toolbox;Computational Phantom;Irradiation Event;CT Axial Image;Image Analysis Tasks
