Multimodality medical image fusion plays a vital role in diagnosis, treatment planning, and follow-up studies of various diseases. It provides a composite image containing critical information of source images required for better localization and definition of different organs and lesions. In the state-of-the-art image fusion methods based on nonsubsampled shearlet transform (NSST) and pulse-coupled neural network (PCNN), authors have used normalized coefficient value to motivate the PCNN-processing both low-frequency (LF) and high-frequency (HF) sub-bands. This makes the fused image blurred and decreases its contrast. The main objective of this work is to design an image fusion method that gives the fused image with better contrast, more detail information, and suitable for clinical use. We propose a novel image fusion method utilizing feature-motivated adaptive PCNN in NSST domain for fusion of anatomical images. The basic PCNN model is simplified, and adaptive-linking strength is used. Different features are used to motivate the PCNN-processing LF and HF sub-bands. The proposed method is extended for fusion of functional image with an anatomical image in improved nonlinear intensity hue and saturation (INIHS) color model. Extensive fusion experiments have been performed on CT-MRI and SPECT-MRI datasets. Visual and quantitative analysis of experimental results proved that the proposed method provides satisfactory fusion outcome compared to other image fusion methods.

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Feature-Motivated Simplified Adaptive PCNN-Based Medical Image Fusion Algorithm in NSST Domain

Application of comments to a variety of application functionality content is provided. Comments may be entered and displayed in a comments user interface component directly in line in the text or other objects of a document or other content item. Displayed comments may be collapsed to a simplified comments tab that may remain displayed in the associated document or content item. Selection of the comments tab may allow for expansion of the comments user interface component to full size. The comments tab may likewise be collapsed to an icon or other image displayed next to the associated content, and the icon or other image may be configured to provide an indication of the length of an associated comments conversation thread. One or more social feedback mechanisms may be employed to show feedback on a given component or portion of a document or content item.

Application of comments in multiple application functionality content

A system and method of providing dynamic and customizable medical forms is disclosed. In certain specific embodiments, these dynamic and customizable medical forms may be automatically presented to users based on a predefined series of rules which allow multiple users having different roles in the clinical process to collaborate and contribute to a medical examination report, while at the same time maintaining an independent record of what was contributed and by whom it was contributed.

System and method of providing dynamic and customizable medical examination forms

A system and method for transmitting medical data. In one embodiment, a computer system receives filter criteria from a user of a first computer. Furthermore, the computer system may receive schedule information defining a schedule for checking for medical data. Depending on the embodiment, either the computer system or a remote server periodically selects, based upon the received schedule, medical data satisfying the received user-specific rules. The selected medical data is then transmitted to the computer system.

Systems and methods for retrieval of medical data

After selecting two or more image series for comparison, images of the image series are interleaved so that they are alternatively displayed in a comparison pane on a display device. In one embodiment, after one or more image series are selected for comparison, an interleaved image series is created containing each of the images of the one or more selected image series, or, alternatively, the interleaved image series comprises links to the images arranged in the interleaved pattern. If differences exist in the images of the multiple image series, these differences may be more easily detectable as the display device cycles between the images. Comparison of images in an interleaved image series may be more advantageous if the images of each selected image series are of a common anatomical area, common image size, and the images are in the same order.

Systems and methods for interleaving series of medical images

A medical imaging system (10) comprises one or more displays (66). A viewer device (86) generates an interactive user interface screen (80) on the display (66), which viewer device (86) enables a user to simultaneously inspect selected image data of multiple patients or multiple images.

Multi-modality medical image viewing

A medical imaging system comprises one or more displays. A viewer device generates an interactive user interface screen on the display, which viewer device enables a user to simultaneously inspect selected image data of multiple patients or multiple images. A layout editor generates a layout editor user interface in the user interface screen, which layout editor device enables the user to create and/or modify a layout of the selected image data on the display.

Multi-modality medical image layout editor

An image display method comprises: color coding a second image respective to an intensity spectrum with a portion or portions (72, 82, 92) of the intensity spectrum set to be transparent to generate a color coded second image; combining a first image and the color coded second image to generate a fused image; and displaying the fused image. An image display system comprises: an image generating module (50) configured to generate an image by color coding an input image in accordance with a colormap (52) assigning colors to intensities of an intensity spectrum; a colormap modifying module (56) configured to select a portion (72, 82, 92) of the intensity spectrum to be transparent; and a display (42) configured to display the generated image.

Pixel-feature hybrid fusion for pet/ct images

A method and system for image acquisition workflow are provided. The imaging acquisition system is configured to implement an imaging acquisition protocol. Then imaging data is acquired according to the protocol. At least some identification information is entered during the imaging data acquisition. The entered identification information may be checked for errors during the imaging acquisition. The imaging data and identification information are then stored together. Identification information may include, for example, a patient's name and/or identification number, date of birth, sex, height, weight, race or ethnicity, and perhaps yet other information.

Method and system for image acquisition workflow.

A quantitative imaging system ( 100 ) for automating delivery of a radiopharmaceutical and imaging a patient. The system ( 100 ) includes a QI controller ( 102 ) that controls the operation of the system. The system ( 100 ) includes a producer ( 104 ) for creating a radiopharmaceutical and a synthesizer ( 106 ) to synthesize the radioisotope with a biologically compatible material to form the radiopharmaceutical. The system ( 100 ) includes a dosimeter ( 110 ) to measure and timestamp the concentration measurement of the radiopharmaceutical and an injector ( 112 ) to deliver the radiopharmaceutical into the patient. The system ( 100 ) includes an imaging apparatus ( 114 ) to image the patient. The QI controller ( 102 ) uses the timestamp of the concentration and decay characteristics to adjust imaging data. The system includes aquantitative analyzer ( 116 ) to calculate parametric images and quantitative values from the collected data.

Charles Nortmann

Papers

Multi-modality medical image viewing

Multi-modality medical image layout editor

Pixel-feature hybrid fusion for pet/ct images

Method and system for image acquisition workflow.

Automated quantitative imaging system