Sti Medical Systems, Inc.

Other

Kineticor, Inc.

Ulf Peter Gustafsson

Wenjing Li

John Taylor Hargrove

Holger Lange

Sankar Venkataraman

Marcelo Esteban Soto-Thompson

Andrew Beaumont Whitesell

Andreas Wilhelm Dreher

Sun Young Park

Dustin Michael Sargent

Rolf Holger Wolters

Richard W Lieberman

Michael Paul Eldred

Jody C Oyama

Sara Maria Bergsten

In some embodiments, a motion detection and correction system and/or device for tracking and compensating for patient motion during a medical imaging scan can be adapted to be integrated into a medical imaging scanner, such as an MRI scanner, or be adapted to retrofit a pre-existing medical imaging scanner. In certain embodiments, the motion detection system and/or device can comprise one or more mounting brackets and a motion correction device housing, which can further comprise one or more detector modules and a power unit. In further embodiments, the collected motion data can be further analyzed by an image processing unit of the motion tracking and/or correction system.

Systems, devices, and methods for tracking and compensating for patient motion during a medical imaging scan

A process for determining whether tissue is precancer, in which tests discriminating between precancer and benign tissue and between precancer and normal tissue are combined, and tissue that is classified as precancer in both tests is determined to be precancer, in which neither of the tests to be combined is the most selective. Further, a process and device in which certain optimal wavelengths of glycogen, phosphate and lipid, but not protein, discriminate between normal and precancer tissues.

Process and device for detection of precancer tissues with infrared spectroscopy

The present invention is an automated image analysis framework for cervical cancerous lesion detection. The present invention uses domain-specific diagnostic features in a probabilistic manner using conditional random fields. In addition, the present invention discloses a novel window-based performance assessment scheme for two-dimensional image analysis, which addresses the intrinsic problem of image misalignment. As a domain-specific anatomical feature, image regions corresponding to different tissue types are extracted from cervical images taken before and after the application of acetic acid during a clinical exam. The unique optical properties of each tissue type and the diagnostic relationships between neighboring regions are incorporated in the conditional random field model. The output provides information about both the tissue severity and the location of cancerous tissue in an image.

Image analysis for cervical neoplasia detection and diagnosis

A process for maintaining 3 dimensional orientation between a tissue specimen and images of the area of investigation, to register histopathologic diagnoses of multiple locations within the specimen with corresponding locations on the surface of said area of investigation.

Process for preserving three dimensional orientation to allow registering histopathological diagnoses of tissue to images of that tissue

A method of contrast enhancement for improved visualization of diagnostically important tissue structures, such as blood vessels. A texture analysis algorithm is applied to identify regions with a high likelihood of disease. Mathematical morphology operations are applied to identify areas of high and low brightness (intensity). The low intensity areas are then subtracted, and controllably variable amounts of the high intensity areas are added, controlled by a selectable tuning parameter, to produce an image with controllably variable visualization enhancement.

Methods of contrast enhancement for images having blood vessel structures

This invention uses LEDs and cross-polarization to produce bright, high-resolution digital images, both with and without glint (which adversely affects the clarity of standard colposcopic images), as well as streaming video at lower resolution. The invention allows for deeper layers of the tissue to be more efficiently visualized at multiple magnifications, thereby enhancing the invention's diagnostic capabilities, and it includes a focusing subsystem and a computerized data management system to archive and annotate still image data.

High resolution digital video colposcope with built-in polarized LED illumination and computerized clinical data management system

The present invention discloses a method for the detection of atypical vessels in digital cervical imagery. A pre-processing stage is applied to enhance the contrast of blood vessel features compared to the surrounding tissue. Next, a segmentation stage is applied to identify regions of interest for atypical vessels using texture and gradient information. Finally, a post-processing stage (1) identifies other clinically relevant features in the cervical imager, and removes these features from the region of interest; and (2) uses color, size, and shape information to further refine the region of interest to eliminate false positives and determine a final region of interest. This automated method of atypical vessel detection is especially useful for diagnostic purposes such as cervical cancer detection.

Methods for detection and characterization of atypical vessels in cervical imagery

A method of automated image calibration that corrects for non-uniform illumination and calibrates color that is simple, fast, automated, accurate and reliable. A gray balance algorithm is applied to correct for non-uniform illumination and a color calibration algorithm is then applied to calibrate the human subject data. The system has been applied in multiple clinical sites with different instruments.

Method of automated image color calibration

The present invention discloses methods and systems for improved focusing of imaging systems for the acquisition of high-quality focused tissue image data. A light emitter (L) aims a focusing light beam (FLB) towards an object of interest (O) so that the focusing light beam (FLB) is at an angle relative to the optical axis (OA) of the imager (I). If the object of interest (O) is out of focus, the focusing light spot (FLS) will appear above or below the focal point in the image (I). The pixel difference between the center of the focusing light spot (FLS) and the focal point indicates the range adjustment value. The range between the imager (I) and the object of interest (O) can then be adjusted according to the range adjustment value using a lookup table or calculations.

Single spot focus control

The image registration systems and methods according to this invention register reflectance and fluorescence hyperspectral imagery and provide the spatial image transformation between the reflectance and fluorescence hyperspectral imagery. A reflectance image is embedded into the fluorescence hyperspectral imagery and thereby resolves the resemblance problem of reflectance and fluorescence hyperspectral imagery. The reflectance image is embedded into the fluorescence hyperspectral imagery using (1) light from a narrow-band source embedded in Ultraviolet (UV) excitation light, (2) second order diffracted light, and/or (3) Ultraviolet (UV) excitation light reflectance. Resembling reflectance images are calculated from the reflectance hyperspectral imagery and the embedded reflectance image in the fluorescence hyperspectral imagery. The two respective reflectance images are pre-processed to maximize the resemblance between them. Image registration algorithms use the two pre-processed reflectance images and calculate the spatial image transformation that allows to map the spatial coordinates from the reflectance to the fluorescence hyperspectral imagery (and vice versa).

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Honolulu, HI, United States of America

Ulf Peter Gustafsson