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Thermal Therapy Ablation Detection With Ultrasound

A technology of ultrasound and ultrasound data, applied in ultrasound/sonic/infrasonic diagnosis, application, sound wave diagnosis, etc., can solve the problems of expensive, MRI method does not provide real-time feedback, etc.

Inactive Publication Date: 2016-08-24
SIEMENS MEDICAL SOLUTIONS USA INC
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Problems solved by technology

MRI methods do not provide real-time feedback and / or are expensive

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  • Thermal Therapy Ablation Detection With Ultrasound
  • Thermal Therapy Ablation Detection With Ultrasound
  • Thermal Therapy Ablation Detection With Ultrasound

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[0014] Acoustic signals derived from multiple imaging modalities (eg, stress, displacement, backscattered power, etc.) are monitored during treatment. Tissue temperature surrounding a therapeutic target can be monitored using a recurrent neural network applied to these signals. At reproducible absolute temperatures, the acoustic signal input to the classifier varies dramatically. Repeatable or reproducible changes in signature are used as acoustic signatures of tissue changes associated with cell death.

[0015] Acoustic thermometry is a relative (as opposed to absolute) temperature assessment scheme and is believed to be more accurate at low time increments (delta T) (approximately 15-20 degrees Celsius time delta). Using neural network-based techniques, this range increases. However, the temperature error increases with time increments, and thus the thermal dose also increases. This means that precise thermal dosing as a time-temperature integral is prone to error. Machi...

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Abstract

Thermal therapy ablation detection uses medical diagnostic ultrasound. Since acoustically measured information becomes unreliable for temperature estimation at a temperature close the time at which treatment is complete, the information is instead or additionally used to detect a tissue condition indicating sufficient treatment, such as detecting cell death. Using multiple different types of parameters as input and / or a machine-learnt classifier, the completion of treatment from a tissue alteration perspective is detected using the transition that makes temperature estimation less reliable.

Description

technical field [0001] This patent document claims the benefit of the filing date of Provisional US Patent Application Serial No. 61 / 973,668 filed April 1, 2014 under 35 U.S.C. §119(e), which is hereby incorporated by reference. Background technique [0002] The present invention relates to hyperthermia using ultrasound monitoring. Thermal energy based therapy applies heat within the patient. Energy is delivered by various modalities such as RF ablation, microwaves, laser radiation, or high intensity focused ultrasound (HIFU). The safety and efficacy of these treatments are closely related to the end-of-dose tissue temperature as well as the time-temperature history of the treated tissue. The time-temperature history is quantified as a "thermal dose". [0003] Monitor temperature and dose using intrusion sensors such as needle probes. Intrusive programs are not desired. Magnetic resonance imaging (MRI) monitoring non-invasively measures tissue treatment temperature. MR...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B8/00
CPCA61B8/485A61B8/5223A61B18/04A61B2018/00577A61B2018/00791A61B2018/00898A61B2018/00982A61B2090/378G16H50/30
Inventor S·布伦克S·苏
Owner SIEMENS MEDICAL SOLUTIONS USA INC
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