Medical Imaging Introduction to Medical Imaging
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1 Micha Strzelecki Institute of Electronics Medical Imaging Biomedical Engineering, IFE, 2013
2 Medical Imaging Introduction Image quality Imaging technology: Radiography Computed Tomography Magnetic Resonance Imaging Ultrsonography Nuclear Medicine Endoscopy Thermography Processing & analysis of medical images The future of Medical Imaging 2
3 Learning outcomes By the end of this subject student should be able to: - Presentation - Written test 1. explain the basic principles of the major medical imaging techniques; 2. explain the mode of operation and medical applications of the major medical imaging techniques; 3. understand the advantages and disadvantages of the major imaging techniques, including potential hazards for patiens; 4. make use of sample software (or implement simple algorithm) for displaying and basic processing of biomedical images or. - Lab report 3
4 References Lecture notes (.pdf files) W. R. Hendee, E.R. Ritenour, Medical Imaging Physics, Wiley-Liss, 2002 C. Guy, D. ffytche, An Introduction to The Principles of Medical Imaging, Imperial College Press, 2008 R. Tadeusiewicz, J. Śmietański, Pozyskiwanie obrazów medycznych oraz ich przetwarzanie, analiza, automatyczne rozpoznawanie i diagnostyczna interpretacja, Wydawnictwo Studenckiego Towarzystwa Naukowego, Kraków 2011 (PL) 4
5 Rewolution in medical diagnosis Advances in microeletronics and computer science Development of tissue imaging technology Qualitative diagnosis -> quantitave diagnosis 5
6 Medical Diagnosis - determination of the identity of a possible disease or disorder consultation (information obtained from the patient ) medical diagnosis physical examination (inspection, auscultation, measurements, ) medical tests laboratory analysis biosignal analysis (ECG, EEG, ) Image analysis 6
7 Monochrome image as a 2D function f(x,y) y x y ( x,y) " f ( x, y) 7
8 Image brightness profile Distance along profile 8
9 RGB color image Medical Imaging Biomedical Engineering R B 9
10 RGB color image color components profiles Distance along profile RGB image and colour components profiles 10
11 Digital image discretisation + quantization pixel (picture element) 11
12 Digital image as pixel array (0,0) X f(x,y) Y 12
13 Digital image as pixel array Digital image f(x,y): 2D array (M,N), ie. of M rows and N columns, of nonnegative elements assuming a limited number of levels f ( x, y) = 0,1,..., L 1 x = 0,1,..., N 1 (e.g. L=256) y = 0,1,..., M 1 Color digital image? 13
14 Color digital RGB image If each of the color component is 8 bit coded then 2 24 different colors can be obtained f ( x, y) = ( f, f, f ) R G B 14
15 Color indexed image f=25 R G B Monochrome image... Colour palette (look-up table) Color image 15
16 3D images (0,0,0) Medical Imaging Biomedical Engineering x f(x,y,z) y z 3D images can evolve in time 4D images 16
17 Electromagnetic spectrum frequency [Hz] gamma rays X rays microwaves radio waves ultraviolet Visible light infrared waves [nm]
18 Medical Imaging Biomedical Engineering Computer vision system Image Acquisition Image Processing Segmentation Feature Estimation features: geometrical, topological, texture Computer + software + knowlegde database Data Analysis (recognition, classification, interpretaction) healthy tissue 18
19 The History of Medical Imaging CT+MRI, PET+MRI CT tomography (Gen. Electric, 2010) (A. Cormack, G. Hounsfield, 1972) radiography (J. Hall-Edwards, 1896) angiography (E. Moniz, 1927) ultrasonography since 80ties) (I. Edler, C. Hertz, 1953) PET tomography (M. Ter-Pogossian et.al., 1973) Termography (since 60thies, XX c.) MRI tomography (P. Lauterbur, P. Mansfield, 1973 endoscopy (B. Hirschowitz, since 70ties) Endoscopic capsule (Given Imaging, 2001) 19
20 Medical Imaging Biomedical Engineering Why so many imaging modalities? Sonography (53%-77% lesions) CT (l. vasculature gold standard) MRI (91% benign malignant discrimination) PET (highest sensitivity in tumor detection) MRI CT USG PET 20
21 Radiography Roentgen radiation (X-ray radiation), discovered and described by Wilhelm Röntgen in 1895, Nobel prize in physics in Gamma radiation ultraviolet Visible light X-rays 5pm-100pm (hard) 100pm-10nm (soft) Ms. Röntgen hand x-ray 21
22 Radiography film images, digital images, invasive examination, limited quality, low equipment price, mobility 22
23 Radiography Applications: orthopedics pulmunology dentistry Diagnosis: breast cancer (mammography) osteoporosis dr Piotr Cichy Gendex 23
24 Analysis of wrist radiograms Markov Random Field model Control (1) Osteoporosis (3) Osteopenia (2) Liniear Discriminant Analysis Classsifcation error: 9% Classification error: 0% 24
25 Ultrasonography low image quality, difficult for interpretation, blood flow examination (Doppler effect USG), non-invasive examination, low equipment price, mobility 25
26 Medical Imaging Biomedical Engineering Ultrasonography Applications: cardiology ginecology&obstetrics urology gastrology... Diagnosis: prostate, urinary bladder uterus 26
27 Analysis of heart echo images (classification) trombi (1) malignant (2) NDA: f 1 f 2 Classification error: 10% (55 images) Statistical features benign(3) g 1 g 2 g 3 27
28 Analysis of heart echo images (segmentation) Ststistical features Feature map Multilayer perceptron Oscillator network 28
29 Computed Tomography (CT) cross-section images (not a projections) not applicable for soft tissues, very good image quality, invasive examination, high equipment price biomech.pwr.wroc.pl/ konferencja/cierniak.pdf 29
30 Computed Tomography (CT) Applications: neurology cardiology pulmunology gastroenterology... Diagnosis: brain tumors kidney, liver lung diseases 30
31 Magnetic Resonance Imaging (MRI) effective for soft tissues, functional tomography (BOLD), MR angiography, very good image quality, non-invasive examination, high equipment price 31
32 Magnetic Resonance Imaging (MRI) Applications: neurology angiography gastroenterology... Diagnosis: brain tumors abdomen organs osteoporosis 32
33 Functional Magnetic Resonance Imaging (fmri) Measured brain signal Visual stimulus Brain activation map 33
34 Medical Imaging Biomedical Engineering Functional Magnetic Resonance Imaging (fmri) Reconstructing visual experiences from brain activity evoked by natural movies (The Gallant Lab, UC Berkeley) Some movie [1] Record brain activity while the subject watches several hours of movie trailers. [2] Build dictionaries (i.e., regression models) that translate between the shapes, edges and motion in the movies and measured brain activity. A separate dictionary is constructed for each of several thousand points at which brain activity was measured. SHAPE MOTION TEXTURE EDGE Dictionary 34
35 Functional Magnetic Resonance Imaging (fmri) [3] Record brain activity to a new set of movie trailers that will be used to test the quality of the dictionaries and reconstructions. Arvid Ludervold, Arvid Ludervold,
36 Functional Magnetic Resonance Imaging (fmri) [4] Build a random library of ~18,000,000 seconds (5000 hours) of video downloaded at random from YouTube. (Note these videos have no overlap with the movies that subjects saw in the magnet). Put each of these clips through the dictionaries to generate predictions of brain activity. Select the 100 clips whose predicted activity is most similar to the observed brain activity. Average these clips together. This is the reconstruction. Arvid Ludervold,
37 Medical Termography low image quality complementary procedure to other diagnostic modalities non-invasive examination low equipment price, mobility 37
38 Nuclear Medicine different approaches (PET, SPECT, Scintigraphy) analysis of molecular changes, often together with CT, short examination time (limited by half-life disintegration of radioisotope), invasive examination, high equipment price 38
39 Nuclear Medicine Applications: almost all medical specialties Diagnosis: Huntington, Alzheimer, Parkinson diseases early stage tumor detection 39
40 Endoscopy optical images of internal organs, additional surgical intervention (laparoscopy), endoscopic capsules, image processing is necessary, invasive examination, high equipment price 40
41 Medical Imaging Biomedical Engineering Endoscopy Applications: gastrointestinal tract (stomach, intestine, colon) respiratory tract urinary tract Laparoscopy: removal of the gallbladder, polyp, 41
42 Endoscopic capsule dr Piotr Szczypiński, IE 42
43 Recent advances: PET + MRI Imaging device that simultaneously performs positron-emission tomography (PET) and magnetic resonance imaging (MRI) scans, producing more detailed images than either technique alone and thus providing extended diagnostic information. 43
44 References W. R. Hendee, E.R. Ritenour, Medical Imaging Physics, Wiley-Liss, 2002 C. Guy, D. ffytche, An Introduction to The Principles of Medical Imaging, Imperial College Press,
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