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Normal Brain Parameters Hand Morphology Electron Density Map Image Equalization 3D,4D Reconstructions. Dual Enery Reconstr. Normal Brain Parameters Hand.

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Presentation on theme: "Normal Brain Parameters Hand Morphology Electron Density Map Image Equalization 3D,4D Reconstructions. Dual Enery Reconstr. Normal Brain Parameters Hand."— Presentation transcript:

1 Normal Brain Parameters Hand Morphology Electron Density Map Image Equalization 3D,4D Reconstructions. Dual Enery Reconstr. Normal Brain Parameters Hand Morphology Electron Density Map Image Equalization 3D,4D Reconstructions. Dual Enery Reconstr. Patient Description Clinical History Clinical Lab Reports Insurance Information Hospital Service Admission Information Patient Description Clinical History Clinical Lab Reports Insurance Information Hospital Service Admission Information Study Request Info Study Scheduling Procedure Description Text Reports Study Request Info Study Scheduling Procedure Description Text Reports Desired: logically integrated view of patient and related data (for healthcare provider, patient, insurance, etc) Desired: logically integrated view of patient and related data (for healthcare provider, patient, insurance, etc) CLINICAL MODELS/RECONSTR. IMAGE VIEWS Radiology Images: Computed Tomography Magnetic Resonance Computed Radiography Digital Angiography Ultrasound Radiology Images: Computed Tomography Magnetic Resonance Computed Radiography Digital Angiography Ultrasound IMAGE DATA Diagnostic Reports Impressions Diagnostic Reports Impressions VOICE DBMS HOSPITAL INFORMATION SYSTEM (HIS) Patient Demographics Network Image Dir. Study Description Image Description Technique Parameters Diagnostic Reports Patient Demographics Network Image Dir. Study Description Image Description Technique Parameters Diagnostic Reports PICTURE ARCHIVING AND COMMUNICATION SYSTEM (PACS) RADIOLOGY INFORMATION SYSTEM (RIS) Disease Classes Patient Classes Bone Age Table Bone Density Table Heart Size Table Clinical Protocols Disease Classes Patient Classes Bone Age Table Bone Density Table Heart Size Table Clinical Protocols CLINICAL DATA X-ray Spectra Film Characteristics Screen Characteristics Dual Energy Cal. Data Monitor Characteristics Tissue Composition X-ray Spectra Film Characteristics Screen Characteristics Dual Energy Cal. Data Monitor Characteristics Tissue Composition SCIENTIFIC DATA Blood Flow Physiological Processes X-ray Scatter X-ray Absorption Tumor Characteristics Blood Flow Physiological Processes X-ray Scatter X-ray Absorption Tumor Characteristics SIMULATION MODELS Typical medical center multimedia patient data dispersion. Data systems have been usually implemented independently – distributed and heterogeneous

2 Patient Medical Record Timeline Desired (Source: UCLA radiologist, doctors, computer scientists)

3 What is coming: patient monitoring In the next 10 to 20 years (8 to 12?) medical patients should be living in a better world –Real-time monitoring any time, any place, by light-weight non- intrusive intelligent body sensors and processors –Smaller, highly mobile, low-cost image scanning for related body objects of concern (e.g., malignant tumors) –On-board alphanumeric data and related image object data transmitted not only to the traditional large medical centers of today, but also directly to the mobile and roaming physician or others most concerned (e.g., family members) –More rapid diagnosis and detection of complications so that early treatment can be initiated with improved health care

4 Multisensor Systems Example: The LifeShirt (From VivoMetrics Inc) What is it? –The LifeShirt System is an example of an innovative ambulatory multi-sensor continuous monitoring system for collecting, analyzing and reporting health data –Captures an ongoing "movie" of physiologic data rather than episodic "snapshots" collected during periodic office visits

5 Requirements and Expectations

6 Pocket TimeLine Enables physicians to visualize a subset of the data available to the desktop version of TimeLine Implemented as a Java Servlet Demo at Current implementation includes: –Timeline visualization –Image visualization –Graph visualization

7 Medical Patient Record Integration Challenges Alfonso F. Cardenas UCLA 2005


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