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Medical Imaging: Techniques and Applications Amy Schnelle Computer Science University of Wisconsin-Platteville Why Medical Imaging is an Important Field of Study • • • • Earlier Diagnosis Easier Diagnosis More Accurate Diagnosis Less Invasive Diagnosis and Treatments • Greater Sharing of Knowledge A Very Brief History of Medical Imaging • 1895 - Professor Roentgen accidentally discovers x-rays while experimenting with Crookes tubes • 1946 - Felix Bloch and Edward Purcell discover the presence of magnetic resonance in solids and liquids • 1960’s - The ultrasound is developed thanks to sonar development during World War II • 1972 – The computed tomography scan becomes a reality due to breakthroughs in digital computers Image Capturing Techniques • Radiography • Magnetic Resonance Imaging • Computed Tomography • Ultrasound • Nuclear Imaging Radiography • Radiography is the process of creating an image by passing x-rays through a patient to a receptor. • Traditional -converting to digital +scanning +sampling +conversion • Digital Radiography © EarthOps.org © Radiology Centennial, Inc “So excited was the public that each newly radiographed organ or system brought headlines. With everything about the rays so novel, it is easy to understand the frequent appearance of falsified images, such as this much-admired "first radiograph of the human brain," in reality a pan of cat intestines photographed by H.A. Falk in 1896.” -Penn State University College of Medicine Magnetic Resonance Imaging • Magnetic Resonance Imaging (MRI) uses magnetic energy and radio waves that have varying sensitivity to the presence of water within tissues. • The magnet • The magnetic Field • Image Capture – Acquisition – Reconstruction Magnetic Resonance Imaging In this photograph, you can see a fully loaded pallet jack that has been sucked into the bore of an MRI system. © How Stuff Works, Inc. Computed Tomography • Computed Tomography (CT) imaging involves taking a series of x-ray images and combining them to form a 2D or 3D cross-sectional image. • Components of the CT • Image capture • CT variables Computed Tomography © Imaginis © Imaginis Ultrasound • Ultrasound uses high frequency sound waves and their corresponding echoes to create images of the internal structures of patients. • How the image formed • Why ultrasound is popular Ultrasound © Radiology Info © Photo Dynamic Imaging Limited Nuclear Imaging • Nuclear Imaging involves detecting radiopharmaceuticals given to a patient for diagnostic purposes and then creating images of the collected data. • Types – PET: positron emission tomography – SPECT: single photon emission computed tomography • Combined Systems Nuclear Imaging PET scans. Uptake of tracer in the lymph nodes involved with lymphoma in the groin, both axilla, and neck (red areas). Image coutesy of Dr. Jorge Carrasquillo, Nuclear Medicine Department, Clinical Center, National Institutes of Health. Image Capturing Review • Radiography – X-rays pass through patient to receptor • Magnetic Resonance Imaging – uses magnetic energy and radio waves that have varying sensitivity to the presence of water within tissues • Computed Tomography – taking a series of x-ray images and combining them to form a 2D or 3D cross-sectional image • Ultrasound – uses high frequency sound waves and their corresponding echoes • Nuclear Imaging – detecting radiopharmaceuticals given to a patient for diagnostic purposes and then creating images of the collected data Techniques for Visual Rendering of Captured Images • Real-time Volume Rendering • Finite-element modeling Real-time Volume Rendering • Volumetric rendering allows for the visualization of the internal structure of objects, making it a highly important contribution to medicine. • Very computationally expensive • “rendering a dataset of 2563 16-bit voxels at 30 Hz requires 32 MBytes of storage, a memory transfer rate of 1 GByte per second, and approximately 5 billion instructions per second. This problem is aggravated by the continuing trend towards larger datasets. Highresolution sampling devices, faster supercomputers, and more accurate modeling techniques will make 10243 and larger datasets the norm” • Process of creating 2D images from a collection of voxels. Real-time Volume Rendering • Rendering methods: – Indirect – Direct • Image Order • Object Order • Hybrid Real-time Volume Rendering VolumePro Hardware acceleration card © TeraRecon Inc. “VolumePro uses a distributed interleaved memory, several parallel processing pipelines, and an Innovative parallel dataflow scheme that requires no global communication, except at the pixel level.” Segmented volume rendering of Cardiac CTA Plate transfixing tibial metaphysis. Screw transfixing tibial plateau. Proximal tibial diaphysis. Colon Polyp Deformable Models with Finiteelement Modeling • Needed to realistically model moving tissues • Allows for a quick and accurate representation of the volume as well as the surface of soft tissues • Model is made up of layers of nodes • Each Node has properties that determine its deformability • The nodes are overlaid by a mesh that models the surface of a specific layer Specialized Applications of Medical Imaging Technology • Surgery Simulation • Computer-aided Diagnosis • Drug Development Surgery Simulation • Used to train surgeons • Need to have a good UI, preferably force feedback • Very computationally expensive -Precompute -Limit deformable area Computer-aided Diagnosis • Has been shown to greatly improve diagnostic accuracy of doctors • Methods – Neural Networks – Expert Systems Neural Networks • Modeled after human brain • Contains a set of Nodes (artificial neurons) • Each node has a set of inputs and an output • Nodes fire output depending on the inputs • The connections between the nodes have weights, and these weights can be adjusted to receive a known output from a known input. Expert Systems • Emulates the decision making of a human expert • Composed of: If It’s raining and It’s cold, then Amy is not happy antecedent consequent – Set of Rules – Inference Engine • Forward and backward chaining Drug Development • Spatial properties of organs and organ systems • Testing with computerized models • Clearer understanding of drug effects • Easier to share findings with other researchers References [1] Balázs, C. (2001, May). Interactive Volume-Rendering Techniques for Medical Data Visualization. Institut f¨ur Computergraphik und Algorithmen. [2] Bro-Nielsen, M. (1997, October 28). Finite Element Modeling in Surgery Simulation. HT Medical, Inc., [3] CAD software helps distinguish benign, malignant nodules seen on CT scans. (2004, Dec 21). Cancer Weekly, 115. [4] Dellingette, H., Ayache, N. (2005). Hepatic Surgery Simulation Communications of the ACM, 48 (2) 31-36. [5] Hadjiyski, L. Ph.D., Sahiner, B. Ph.D., Chan, H. Ph.D., Bogot, N. M.D., Cascade, P. M.D., Kazerooni, E. M.D. (2004, November 29). New computer-aided diagnosis (CAD) methods for cancer. News-Medical.Net. Retrieved Feb. 22, 2005, from http://www.news-medical.net/?id=6495 [6] Hibbs, C., Vance, G. (2005). The Effects of Combined Imaging Technology on Healthcare Planning and Design. Continuum Solutions Consulting. Retrieved Feb. 22, 2005, from http://www.aia.org/aah_a_jrnl_0401_article5&grandCh=yes [7] Huang C.R., Sheu B.S., Chung P.C., Yang H.B. (2004). Computerized diagnosis of Helicobacter pylori infection and associated gastric inflammation from endoscopic images by refined feature selection using a neural network. Retrieved Feb. 22, 2005, from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&listuids=15243882&dopt=Abstract. [8] Imaginis Corporation. (2005). Computed Tomography Imaging. Retrieved Feb. 22, 2005, from http://imaginis.com/ct-scan/ [9] Imaginis Corporation. (2005). History of Medical Diagnosis and Diagnostic Imaging. Retrieved Feb. 22, 2005, from http://imaginis.com/faq/history.asp [10] Kaufman, A., Brady, M., Lorensen, B., Kitson, F., Pfister, H. (1998). Why is Real-Time Volume Rendering No Longer a Year Away?. State University of New York at Stony Brook. Retrieved Feb. 22, 2005, from http://64.233.167.104/search?q=cache:1z8yxW-Om8cJ:csdl.computer.org/comp/proceedings/vis/1998/9176/00/91760497.pdf [11] Kaufman, A., Lakare, S., Kreeger, K., Bitter, I. (2005). Virtual Colonoscopy. Communications of the ACM, 48 (2) 37-41 [12] Lin, Q., (2003, April). Enhancement, Extraction, and Visualization of 3D Volume Data. Department of Electrical Engineering, Link¨oping University, SE-581 83 Link¨oping, Sweden [13] McRobbie, D., Moore, E., Graves, M., Prince, M. (2003). MRI: from Picture to Proton. Cambridge University Press 2003 [14] National Cancer Institute. (2005). Nuclear Imaging (PET and SPECT). Retrieved Feb. 22, 2005, from http://imaging.cancer.gov/imaginginformation/cancerimaging/page5 [15] Nondestructive Testing Resource Center. (2005). Computed Tomography. Retrieved Feb. 22, 2005, from http://www.ndted.org/EducationResources/CommunityCollege/Radiography/Adv ancedTechniques/computedtomography.htm [16] Park, K., Montillo, A., Metaxas, D., Axel, L. (2005). Volumetric Heart Modeling and Analysis. Communications of the ACM, 48 (2) 43-48. [17] Radiological Society of North America, Inc. (RSNA). (2005). Ultrasound – General. Retrieved Feb. 22, 2005, from http://www.radiologyinfo.org/content/ultrasound-general.htm [18] Dr. Saini, S., Dr. Digumarthy, S. R., Dr. Sobrino, H., Dame, M. (2002). Drug Development and Medical Imaging Technology. Pharamatech. [19] Sprawls, P. Jr. (1995). Physical Principles of Medical Imaging. Perry Sprawls and Associates [20] TeraRecon, Inc. (2004). VolumePro™ - Volume Rendering Hardware Solutions. Retrieved Feb. 22, 2005, from http://www.terarecon.com/products/volumepro_prod.html [21] Vilanova Bartroli, A. (2001, September). Visualization Techniques for Virtual Endoscopy. . [22] Webb, S. (1998). The Physics of Medical Imaging. IOP Publishing Any Questions?