University System of Maryland

The Cleveland Clinic Foundation

Children's National Medical Center

Igi Technologies

Raj Shekhar

Vivek Walimbe

Omkar S Dandekar

Carlos R Castro-Pareja

Xinyang Liu

Sukryool Kang

Jon D Klingensmith

David Geoffrey Vince

Jogikal M Jagadeesh

Craig Peters

Shilpa Patel

Timothy Kane

Dinesh Pillai

William Plishker

Stephen Teach

James McConnaughey

Xin Kang

Robin Doroshow

Mahdi Azizian

Vladimir Zagrodsky

The present disclosure relates to a tracking system for augmented reality in a clinical setting. Specifically, the present disclosure relates to an approach for combining hardware-based tracking and computer vision-based tracking in order to accurately overlay a projected image onto a video image.

Hybrid hardware and computer vision-based tracking system and method

Described herein are a computer enhanced medical method and device for generating an asthmatic condition indication. The apparatus receives a lung signal from a stethoscope, the lung signal having been converted from an analog signal to a digital signal. Furthermore, circuitry included in the apparatus performs, inter alia, the following: displays a patient recording canvas corresponding to physical locations on a body of the patient, the canvas including an anterior patient orientation and a posterior patient orientation, generates a recording process, the recording process including recording, for a predetermined period of time, the detected lung signal, and associates the recording with a marked location. Furthermore, the circuitry merges the recorded lung signal from each marked location on the patent recording canvas as merged information, and applies processing to the merged information to generate the asthmatic condition indication.

Apparatus and method for identification of wheezing in ausculated lung sounds

The present disclosure relates to an apparatus and method for correcting rotational error during use of an oblique-viewing endoscope. Specifically, the present disclosure relates to a fast calibration process wherein a new approach is employed in estimating a center of rotation of a plane of an image. Moreover, the approach, allows for updating of a camera matrix during use.

System, apparatus, and method for calibrating oblique-viewing rigid endoscope

A device for generating composite images of dynamically changing surgical anatomy includes circuitry configured to receive, from an endoscopic imaging device, endoscopic image data. The circuitry is configured to receive, from a tomographic imaging device, intra-operative tomographic image data. The circuitry is configured to receive, from a tracking device, spatial tracking data corresponding to the endoscopic imaging device and the tomographic imaging device. The circuitry is configured to generate real-time dynamically changing composite image data by overlaying, based on the spatial tracking data, the intra-operative tomographic image data on the endoscopic image data. The circuitry is configured to output the composite image data to a display.

System for generating composite images for endoscopic surgery of moving and deformable anatomy

Discussed herein are an apparatus and a corresponding method for classifying a murmur detected in a heart signal as a Still's murmur. Circuitry included in the apparatus segments a heart signal to detect a first lobe (S1) and a second lobe (S2) of the heart signal. Further, the circuitry computes a spectral width of an extracted feature of the heart signal that lies in a portion of a time interval between the S1 lobe and the S2 lobe based on an estimated power spectral density. Additionally, a peak frequency of the extracted feature of the heart signal and a shape of an envelope of the extracted feature of the heart signal are computed. The extracted feature of the heart signal is classified as the Still's murmur based on the spectral width, the peak frequency, the shape of the envelop, and additional murmur discriminant features.

Apparatus and method for detecting heart murmurs

Techniques for accelerated elastic registration include receiving reference scan data and floating scan data, and a first transformation for mapping coordinates of scan elements from the first scan to coordinates of scan elements in the second scan. A subset of contiguous scan elements is determined. At least one of several enhancements is implemented. In one enhancement cubic spline interpolation is nested by dimensions within a subset. In another enhancement, a local joint histogram of mutual information based on the reference scan data and the floating scan data for the subset is determined and subtracted from an overall joint histogram to determine a remainder joint histogram. Each subset is then transformed, used to compute an updated local histogram, and added to the remainder joint histogram to produce an updated joint histogram. In another enhancement, a measure of similarity other than non-normalized mutual information is derived from the updated joint histogram.

Method and apparatus for accelerated elastic registration of multiple scans of internal properties of a body

Medical imaging often involves the collective use of information presented in multiple images of an individual, such as images generated through different imaging modalities (X-ray, CT, PET, etc.) The use of a composite of these images may involve image registration to adjust for the variable position and orientation discrepancies of the individual during imaging. However, registration may be complicated by soft tissue deformation between images, and implementations (particularly pure software implementations) of the mathematical models used in image registration may be computationally complex and may require up to several hours. Hardware architectures are presented that apply the mathematical techniques in an accelerated manner, thereby providing near-realtime image registration that may be of particular use for the short timeframe requirements of surgical environments. The composite image generated thereby may be used to target anatomic features of interest during various medical procedures, including surgical procedures. Moreover, such techniques may be applied to computationally difficult image processing techniques, such as the display of a composite image based at least in part on a PET image, which may otherwise be difficult to utilize in a time-sensitive manner such as a surgical setting.

Composite images for medical procedures

Techniques for registration of multiple measurement modes of a body include receiving first and second data from different modes. Each includes measured values with coordinate values. For two mechanically aligned modes, any non-rigid registration is performed. For some modes, the non-rigid registration includes a coarse transformation and multiple fine scale transformations. The coarse transformation maximizes a coarse similarity measure. The second data is sub-divided into contiguous sub-regions. Fine transformations are determined between the sub-regions and corresponding portions of the first data to maximize a fine similarity measure. Sub-dividing and determining fine transformations repeats until stop conditions are satisfied. Transformations between the last-divided sub-regions are interpolated. Any of the fine similarity measure, a search region, interpolation method, sub-division location, and the use of rigid or non-rigid fine transformations are adaptive to properties of the first or second data so that the registration is automatic without human intervention.

Techniques for 3-D elastic spatial registration of multiple modes of measuring a body

Stress test analysis is facilitated through the acquired and manipulated use of a sequence of volumetric data regarding the heart (and may particularly comprise the left ventricle) for the assessment of the health state of the heart. Several provided and illustrated examples specifically relate to ultrasound volumetric data, but the volumetric data may be obtained through the use of any imaging modality (e.g., CT, MRI, X-ray, PET, SPECT, etc.) or combination thereof, and may be used to compute one or more functional quantitative metrics (e.g., ejection fraction.) The volumetric data may also be used to render one or more views of the heart, and particularly of the left ventricle. This disclosure relates to these and other uses of such volumetric data, and to some various implementations thereof, such as methods, systems, and graphical user interfaces.

Quantitative real-time 4D stress test analysis

Techniques for registration of multiple measurement modes of a body include receiving first and second data from different modes. Each includes measured values with coordinate values. For two mechanically aligned modes, any nonrigid registration is performed. For some modes, the nonrigid registration includes a coarse transformation and multiple fine scale transformations. The coarse transformation maximizes a coarse similarity measure. The second data is subdivided into contiguous subregions. Fine transformations are determined between the subregions and corresponding portions of the first data to maximize a fine similarity measure. Subdividing and determining fine transformations repeats until stop conditions are satisfied. Transformations between the last divided subregions are interpolated. Any of the fine similarity measure, a search region, interpolation method, sub-division location, and the use of rigid or non-rigid fine transformations are adaptive to properties of the first or second data so that the registration is automatic without human intervention.

Techniques for segmenting data include receiving reference segmentation data and target data. The reference segmentation data defines a mesh indicating a boundary of a physical component in a reference body. The target data includes measured values at coordinates within a target body. Coordinates for vertices of the mesh are moved toward nearby edges in values of the target data. The adjustment also may be based on deviations from adjacent vertices or from a three dimensional generalized gradient vector field. The mesh may be initially transformed by a particular transformation that automatically maximizes a similarity measure between the target data and reference data. The reference data includes measured values within the reference body. The reference segmentation also may define a second mesh that indicates a second boundary in the reference body, and the adjustment is also based on an adjusted distance between the mesh and the second mesh.

Segmentation of regions in measurements of a body based on a deformable model

A system architecture is disclosed that facilitates rapid execution of 3D registration or alignment algorithms. A first image module (e.g., RAM) is included to store data corresponding to images to be registered. A processor coupled to the first storage module accesses the data and determined mutual histogram (MH) values which are then used to compute mutual information (MI) between the images. The processor accumulates the MH values in a second image module. The second storage module is accessible so that registered images can be displayed. The architecture is scalable facilitating distributed calculations to speed-up the registration process.

Architecture for real-time 3D image registration

An intravascular ultrasound (IVUS) analysis system and method is provided which determines luminal and medial-adventitial boundaries of a blood vessel. Ultrasonic data is acquired by a rotating transducer mounted to a tip of a catheter which is inserted into the blood vessel. An intravascular image is reconstructed from the ultrasound data. To determine the luminal boundary of a vessel, a user selects boundary points on the image believed to be locations of the luminal boundary. A boundary contour is generated based on the boundary points. The boundary contour is then optimized by adjusting the boundary points based on a radially determined edge of the luminal boundary performed on the image in polar format. Once the final luminal boundary contour is generated, the process is repeated to determine the medial-adventitial boundary contour. With the contour data, properties of the blood vessel are analyzed including determining the area of the lumen and percent of occlusion caused by plaque.

Growing community of inventors

Elkridge, MD, United States of America

Raj Shekhar