Siemens Medical Solutions Usa, Inc.

Siemens Healthcare Gmbh

Andrzej Milkowski

Sasa Grbic

Yassin Labyed

John Benson

Dorin Comaniciu

Ali Kamen

Tommaso Mansi

Ankur Kapoor

Liexiang Fan

Paul Donald Freiburger

Dominik Neumann

Helene C Houle

Chi Hyung Seo

Mervin Mencias Smith-Casem

Awais Mansoor

Caroline Maleke

Richard Chiao

Vlad Comanelea-Serban

Yuehaw Khoo

Mallory Selzo

For robust view classification and measurement estimation in sequential ultrasound imaging, the classification and/or measurements for a given image or sequence of images are gated. To prevent oscillation in results, the gating provides consistent output.

Robust view classification and measurement in ultrasound imaging

For tissue property estimation with ultrasound, multiple different types of measurements are performed by an ultrasound system, including scatter measurements and shear wave propagation measurements. The tissue property, such as liver fat fraction, is estimated using a combination of these different types of measurements.

Tissue property estimation with ultrasound medical imaging

A system and method include determination of a value of a first biomarker, determination of a value of a first quantitative parameter of a first imaging modality corresponding to the determined value of the first biomarker, determination of a value of a second quantitative parameter of a second imaging modality corresponding to the determined value of the first biomarker, determination of physical characteristics of an imaging phantom associated with the value of the first biomarker, the value of the first quantitative parameter, and the value of the second quantitative parameter, and generation of an instruction to fabricate the imaging phantom based on the physical characteristics.

Biomarker-consistent phantom for multiple imaging modalities

A system and method for multi-modality fusion for 3D printing of a patient-specific organ model is disclosed. A plurality of medical images of a target organ of a patient from different medical imaging modalities are fused. A holistic mesh model of the target organ is generated by segmenting the target organ in the fused medical images from the different medical imaging modalities. One or more spatially varying physiological parameter is estimated from the fused medical images and the estimated one or more spatially varying physiological parameter is mapped to the holistic mesh model of the target organ. The holistic mesh model of the target organ is 3D printed including a representation of the estimated one or more spatially varying physiological parameter mapped to the holistic mesh model. The estimated one or more spatially varying physiological parameter can be represented in the 3D printed model using a spatially material property (e.g., stiffness), spatially varying material colors, and/or spatially varying material texture.

Multi-modality image fusion for 3D printing of organ morphology and physiology

Systems and methods are provided for utilizing an MRI image and real-time an ultrasound images to guide and/or restrict the movement of an ultrasound probe in position for collecting a biopsy core. A real-time ultrasound image is acquired and fused with pre-operative imaging modalities, such as an MRI image, to provide a three-dimensional model of the prostate. A multi-link robotic arm is provided with an end-effector and an ultrasound probe mounted thereto. Sensor information is used to track the ultrasound probe position with respect to the 3D model. The robotic arm allows for the implementation of a virtual remote center of motion (VRCM) about the transrectal probe tip, an adjustable compliant mode for the physician triggered movement of probe, a restrictive trajectory of joints of the robotic arm and active locking for stationary imaging of the prostate.

System and method for real-time ultrasound guided prostate needle biopsies using a compliant robotic arm

To accurately generate the three-dimensional ultrasound data and/or determine the position of the ultrasound scan relative to pre-operative data, a tracking sensor is releasably connected with the ultrasound probe. The connection positions the tracking sensor near a distal end of the probe for insertion into the patient. A needle guide may be similarly releasably connected with the probe and, at least in part, inserted into the patient.

Integrated tracking system for endocavity imaging

Separate renderings are performed for data of a same medical imaging mode. The data is processed differently prior to rendering and/or rendered differently to enhance desired image information. For example, a same set of ultrasound B-mode data is rendered with opacity rendering and with maximum intensity projection or surface rendering. The surface or maximum intensity projection highlights strong transitions associated with bones. The opacity rendering maintains tissue information. Different sets of B-mode data may be separately rendered, such as one set processed to emphasize contrast agent response and another set processed to emphasize tissue. The separate renderings are aligned and combined. The combined rendering is output as an image.

Multi-volume rendering of single mode data in medical diagnostic imaging

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Issaquah, WA, United States of America

Andrzej Milkowski