Literature DB >> 34081821

Coronary vessel detection methods for organ-mounted robots.

Eric T Rasmussen1, Eric C Shiao1, Lee Zourelias2, Michael S Halbreiner2, Michael J Passineau2, Srinivas Murali2, Cameron N Riviere3.   

Abstract

BACKGROUND: HeartLander is a tethered robot walker that utilizes suction to adhere to the beating heart. HeartLander can be used for minimally invasive administration of cardiac medications or ablation of tissue. In order to administer injections safely, HeartLander must avoid coronary vasculature.
METHODS: Doppler ultrasound signals were recorded using a custom-made cardiac phantom and used to classify different coronary vessel properties. The classification was performed by two machine learning algorithms, the support vector machines and a deep convolutional neural network. These algorithms were then validated in animal trials.
RESULTS: Accuracy of identifying vessels above turbulent flow reached greater than 92% in phantom trials and greater than 98% in animal trials.
CONCLUSIONS: Through the use of two machine learning algorithms, HeartLander has shown the ability to identify different sized vasculature proximally above turbulent flow. These results indicate that it is feasible to use Doppler ultrasound to identify and avoid coronary vasculature during cardiac interventions using HeartLander.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  beating heart; cardiac; epicardial; heart; organ-mounted robots; sensors; ultrasound

Mesh:

Year:  2021        PMID: 34081821      PMCID: PMC8416707          DOI: 10.1002/rcs.2297

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.483


  35 in total

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Authors:  Antonis A Armoundas; Andrew B Feldman; Ramakrishna Mukkamala; Richard J Cohen
Journal:  Ann Biomed Eng       Date:  2003-05       Impact factor: 3.934

2.  Method for the calculation of velocity, rate of flow and viscous drag in arteries when the pressure gradient is known.

Authors:  J R WOMERSLEY
Journal:  J Physiol       Date:  1955-03-28       Impact factor: 5.182

3.  Catheter ablation of ventricular tachycardia.

Authors:  Roderick Tung; Noel G Boyle; Kalyanam Shivkumar
Journal:  Circulation       Date:  2010-07-20       Impact factor: 29.690

4.  Feature extraction from Doppler ultrasound signals for automated diagnostic systems.

Authors:  Elif Derya Ubeyli; Inan Güler
Journal:  Comput Biol Med       Date:  2005-11       Impact factor: 4.589

5.  Cardiac Arrhythmias: Diagnosis, Symptoms, and Treatments.

Authors:  Du-Guan Fu
Journal:  Cell Biochem Biophys       Date:  2015-11       Impact factor: 2.194

6.  Adaptive Kinematic Control of a Robotic Venipuncture Device Based on Stereo Vision, Ultrasound, and Force Guidance.

Authors:  Max L Balter; Alvin I Chen; Timothy J Maguire; Martin L Yarmush
Journal:  IEEE Trans Ind Electron       Date:  2016-04-21       Impact factor: 8.236

7.  5-ALA fluorescence and laser Doppler flowmetry for guidance in a stereotactic brain tumor biopsy.

Authors:  Neda Haj-Hosseini; Johan C O Richter; Peter Milos; Martin Hallbeck; Karin Wårdell
Journal:  Biomed Opt Express       Date:  2018-04-20       Impact factor: 3.732

8.  Lumen diameter of normal human coronary arteries. Influence of age, sex, anatomic variation, and left ventricular hypertrophy or dilation.

Authors:  J T Dodge; B G Brown; E L Bolson; H T Dodge
Journal:  Circulation       Date:  1992-07       Impact factor: 29.690

9.  Speed of sound in rubber-based materials for ultrasonic phantoms.

Authors:  A Cafarelli; P Miloro; A Verbeni; M Carbone; A Menciassi
Journal:  J Ultrasound       Date:  2016-04-21

10.  Morphologic expression of the left coronary artery in pigs. An approach in relation to human heart.

Authors:  Fabian Alejandro Gómez; Luis Ernesto Ballesteros
Journal:  Rev Bras Cir Cardiovasc       Date:  2014 Apr-Jun
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