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Automated path correction during multi-modal fusion targeted biopsy

A biopsy, targeting technology, applied in the field of ultrasound systems, can solve the problem of inaccurate transformation

Pending Publication Date: 2020-11-27
KONINKLJIJKE PHILIPS NV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the transformation resulting from the registration of mpMRI-TRUS data may not be accurate at the time of biopsy

Method used

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  • Automated path correction during multi-modal fusion targeted biopsy
  • Automated path correction during multi-modal fusion targeted biopsy
  • Automated path correction during multi-modal fusion targeted biopsy

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Embodiment Construction

[0015] The following descriptions of specific embodiments are merely exemplary in nature and are in no way intended to limit the invention or its application or uses. In the following detailed description of embodiments of the present systems and methods, reference is made to the accompanying drawings, which form a part hereof, and are shown by way of illustrations of specific embodiments in which the described systems and methods may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the presently disclosed systems and methods, and it is to be understood that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present system. on the change. Also, for the sake of clarity, detailed descriptions of certain features will not be discussed where they would be obvious to those skilled in the art so as not to obscure the description of th...

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Abstract

The present disclosure describes ultrasound imaging systems and methods configured to delineate sub-regions of bodily tissue within a target region and determine a biopsy path for sampling the tissue.Systems may include an ultrasound transducer configured to image a biopsy plane within a target region. A processor communicating with the transducer can obtain a time series of sequential data frames associated with echo signals acquired by the transducer and apply a neural network to the data frames. The neural network can determine spatial locations and identities of various tissue types in the data frames. A spatial distribution map labeling the coordinates of the tissue types identified within the target region can also be generated and displayed on a user interface. The processor can also receive user input, via the user interface, indicating a targeted biopsy sample to be collected, which can be used to determine a corrected biopsy path.

Description

technical field [0001] The present disclosure relates to ultrasound systems and methods for using a neural network to identify different regions of cancerous tissue and determine a customized biopsy path for sampling the tissue. Particular embodiments also relate to a system configured to generate a tissue map marking different types and spatial locations of cancerous tissue present along a biopsy path during an ultrasound scan of the tissue. Background technique [0002] Prostate cancer is the most common cancer in men and the third leading cause of cancer-related death in the United States. Each year, more than 230,000 American men are diagnosed with prostate cancer and nearly 30,000 die from the disease. Urologists have used transrectal ultrasound imaging (TRUS) to image the prostate, guide biopsies and even dispose of cancerous tissue. The prostate is heterogeneously echogenic, but cancerous tissue is indistinguishable from healthy tissue on ultrasound images. As a re...

Claims

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Application Information

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IPC IPC(8): A61B8/08A61B10/02G06T7/00A61B8/12A61B8/00
CPCA61B8/0841A61B8/085A61B8/12A61B8/5223A61B10/0241G06T7/0016G06T2207/10016G06T2207/10132G06T2207/20084G06T2207/30081G06T2207/30096G16H50/30A61B8/461A61B8/5246A61B2560/0487G06N3/08
Inventor A·M·塔赫玛塞比马拉古奥施P·阿博尔马苏米P·穆萨维
Owner KONINKLJIJKE PHILIPS NV