37 results about "Anatomical atlas" patented technology

The present invention provides video and audio assisted surgical techniques and methods. Novel features of the techniques and methods provided by the present invention include presenting a surgeon with a video compilation that displays an endoscopic-camera derived image, a reconstructed view of the surgical field (including fiducial markers indicative of anatomical locations on or in the patient), and/or a real-time video image of the patient. The real-time image can be obtained either with the video camera that is part of the image localized endoscope or with an image localized video camera without an endoscope, or both. In certain other embodiments, the methods of the present invention include the use of anatomical atlases related to pre-operative generated images derived from three-dimensional reconstructed CT, MRI, x-ray, or fluoroscopy. Images can furthermore be obtained from pre-operative imaging and spacial shifting of anatomical structures may be identified by intraoperative imaging and appropriate correction performed.

A method that includes receiving an input image of a region of interest (ROI) of an individual. The input image is a medical image acquired by a first imaging modality. The method also includes generating a first feature image based on the input image. The first feature image includes a designated anatomical feature of the ROI. The method also includes obtaining an anatomical atlas. The atlas has a reference image of the ROI of at least one other individual and an organ model. The reference image is a medical image that is acquired by a second imaging modality that is different from the first imaging modality. The method also includes determining a transformation function by registering the first feature image with a second feature image that is based on the reference image and includes the designated anatomical feature.

A system and method of identifying anatomical structures in a patient. The method includes the acts of acquiring an image of the patient, the image including a set of image elements; segmenting the image to categorize each image elements according to its substance; computing the probability that the categorization of each image element is correct; resegmenting the image starting with image elements that have a high probability and progressing to image elements with lower probabilities; aligning at least one of the image elements with an anatomical atlas; and fitting the anatomical atlas to the segmented image.

A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one substructure; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores an anatomical atlas comprising data encoding spatial information of the at least one substructure in the tissue region, and a pathological atlas corresponding to an abnormality of the tissue region, wherein the signal processing system is adapted to automatically identify, using the imaging signal, the anatomical atlas, and the pathological atlas, a presence of the abnormality or a precursor abnormality in the subject under observation.

A method is provided for visualizing a surgical trajectory (32, 101, 42, 46, 47). The method comprises steps of receiving (71) 3D imaging information (31) of a region to undergo surgery and combining (72) the received 3D imaging information (31) with data from a digitized anatomical atlas. As a result, a combined map of the region to undergo surgery is obtained. The combined map comprises expected positions of anatomical structures (102, 103, 104) in the region to undergo surgery. The method further comprises steps of receiving (73) the surgical trajectory (32, 101, 42, 46, 47) for the surgery, determining (74) positions of intersections (43, 44) of the surgical trajectory (32, 101, 42, 46, 47) with the anatomical structures (102, 103, 104) and providing (75) the positions of the intersections (43, 44) in a coordinate system aligned with the surgical trajectory (32, 101, 42, 46, 47).

The invention relates to a physical specimen 3D printing method which comprises the following steps: (1) preservative treatment: carrying out preservative treatment on a selected physical specimen; (2) anatomy and manufacturing: manufacturing a required specimen according to an anatomical atlas; (3) bleaching and swashing: carrying out bleaching treatment on the specimen, and then swashing with tap water; (4) trimming: trimming and cleaning the anatomical specimen; (5) scanning: scanning the specimen by using a 3D scanning tool; (6) processing of a specimen image: trimming and synthesizing thescanned image by using a computer; and (7) printing: printing the specimen by using a 3D printer. The real biological specimen is used as a raw material to print the specimen, the shape structure iscomplete and unchanged, the sense of reality is strong, the process is simple, and the time is short; massive different materials can be used for preparation, and inconvenience brought to experiment teaching due to shortage of physical specimens is solved.

Imaging mass spectrometry (IMS) has become a prime tool for studying the distribution of biomolecules in tissue. Although IMS data sets can become very large, computational methods have made it practically feasible to search these experiments for relevant findings. However, these methods lack access to an important source of information that many human interpretations rely upon: anatomical insight. In this work, this need is addressed by (1) integrating a curated anatomical data source with an empirically acquired IMS data source, establishing an algorithm-accessible link between them; and (2) demonstrating the potential of such an IMS-anatomical atlas link by applying it toward automated anatomical interpretation of ion distributions in tissue.

A method comprises selecting, via a computer, an intensity threshold value. The method also comprises defining, via the computer, a plurality of hyperintensities on imaging data based on the intensity threshold value. The method further comprises extracting, via the computer, a plurality of voxels from the imaging data based on the defining. The method additionally comprises determining, via the computer, a total volume of the voxels based on the extracting. The method also comprises determining, via the computer, a regional distribution of WMH based on an anatomical atlas and the total volume.

Medical radiography requires specialist control of radiography equipment to achieve good imaging results. Typical errors that can occur consist of an inappropriate field of view being accidentally applied. This results in a “cropping effect” in which portions of the region of interest of a patient which would be of clinical use are omitted from the image. Conventionally, the only solution is to re-take the entire image with a more appropriate (and inevitably larger) field of view selected. This is undesirable, because it might require recall of the patient from another location, and the patient will be subject to two exposures, thus undesirably increasing their X-ray dosage. The present application proposes to use an anatomical atlas to analyse an X-ray image output from an initial exposure, in particular to assess whether significant anatomical elements are missing from the image. If elements are missing, the field of view of the X-ray imager is recalibrated, using collimation or pan/tilt adjustments, for example. A subsequent X-ray image is obtained, and combined with the initial image, to provide an output image. Because only a small area of the region of interest may subsequently need to be exposed, a smaller additional dose results.

A radiology viewer includes at least one electronic processor (10, 20), at least one display (12), and at least one user input device (14, 16, 18). The display shows at least a portion of a radiologyimage (30) in an image window (40), and at least a portion of a radiology report (32) in a report window (42). A selection is received of an anatomical feature shown in the image window, and a corresponding passage of the radiology report is identified and highlighted in the report window. A selection is received of a passage of the radiology report shown in the report window, and a correspondinganatomical feature of the at least one radiology image is identified and highlighted in the image window. The highlighting operations use image anatomical feature tags and report clinical concept tagsgenerated using a medical ontology (56) and an anatomical atlas (62).