6720 Lecture 1_overview

6720 Lecture 1_overview - PHYS 6720 Lecture I 1. 2. 3. 4....

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1 PHYS 6720 - Lecture I 1 PHYS 6720 Physics of Medical Imaging Xin-Hua Hu Office: Howell C206 Tel: 328-1864 hux@ecu.edu PHYS 6720 - Lecture I 2 Lecture I Overview 1. Introduction to imaging 2. Imaging approach 3. Noncoherent imaging 4. Waves or particles? 5. Imaging quality assessment PHYS 6720 - Lecture I 3 I-1 Introduction Applications of medical imaging : (i) diagnosis of lesions and disease - radiology (ii) image-guided therapy – radiation oncology 4 I-1 Introduction What will you learn? • Medical imaging can claims its start from the first x-ray image by German physicist Wilhelm Conrad Röntgen on November 8, 1895 • What we are concerned here is the mathematics and physics foundation underlying medical imaging • We will, however, discuss clinical applications whenever feasible PHYS 6720 - Lecture I 5 I-1 Introduction What will you learn? • Basic imaging concepts • physics of radiation production • physics of radiation-matter interaction • physics of various signal detection schemes • mathematical tools for evaluation of imaging systems • algorithms for image reconstruction and analysis • image based diagnosis is NOT a major topic • clinical application is NOT a major topic PHYS 6720 - Lecture I 6 I-1 Introduction Elements of an imaging process • Imaging provides the most important venue for probing an object of interest • An imaging process consists of excitation of an object , detection of its response and display as a function of spatial coordinates • The response detection and display is achieved with an imaging system to yield an image image object response excitation imaging system
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2 PHYS 6720 - Lecture I 7 I-1 Introduction Elements of an imaging process • Medical imaging process: source Æ propagation/conditioning Æ interaction Æ detection Æ reconstruction Æ (inversion) Æ diagnosis Examples: x-ray imaging: x-ray generation in x-ray tube Æ propagating and/or collimating Æ interaction with subject Æ detection Æ data processing and/or reconstruction Æ display PHYS 6720 - Lecture I 8 I-1 Introduction Image analysis • Analysis of images for diagnosis purpose can be pursued in two different approaches: Image data diagnosis Inverted to obtain the 2D/3D distribution of object’s properties Pattern/statistical analysis PHYS 6720 - Lecture I 9 I-1 Introduction Inverse imaging problem • An inverse problem is defined as the problem to solve the property of the object from the measured image data • To solve an inverse problem, a forward model is needed for predicting the response (image data/signals) of the system from the given system property. •PH Y S I C S knowledge is required for acquiring image data and abstracting practical problems into mathematical problems Æ math and computer skills are needed.
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This note was uploaded on 04/25/2010 for the course PHYS 6720 taught by Professor Hu during the Spring '10 term at East Carolina University .

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6720 Lecture 1_overview - PHYS 6720 Lecture I 1. 2. 3. 4....

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