Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Coronary flow velocity reserve is obtained by manual tracings of transthoracic coronary Doppler flow velocity profiles as the ratio of stress versus baseline dia- stolic peak velocities. This approach introduces subjectiv- ity in the measurements and limits the information which could be exploited from the Doppler velocity profile. Accordingly, our goals re to develop a technique for nearly automated detection of Doppler coronary flow velocity profile, and automatically compute both conven- tional and additional amplitude, derivative and temporal parameters, and validate it with manual tracings. A total of 100 patients (17 normals, 15 patients with severe coronary stenosis, 41 with connective tissue disease and 27 with diabetes mellitus) re studied. Linear correlation and Bland-Altman analyses shod that the proposed method was highly accurate and repeatable compared to the manual measurements. Comparison beten groups evidenced significant differences in some of the automated parame- ters, thus representing potentially additional indices useful for the noninvasive diagnosis of microcirculatory or coro- nary artery disease.
['V. Magagnin', 'Luigi Delfino', 'Sergio Cerutti', 'Maurizio Turiel', 'Enrico G. Caiani']
I am writing a research paper on a idea Nearly automated analysis of coronary Doppler flow velocity from transthoracic ultrasound images: validation with manual tracings
[{"from": "human", "value": "I am writing a research paper on a idea Nearly automated analysis of coronary Doppler flow velocity from transthoracic ultrasound images: validation with manual tracings"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Coronary flow velocity reserve is obtained by manual tracings of transthoracic coronary Doppler flow velocity profiles as the ratio of stress versus baseline dia- stolic peak velocities. This approach introduces subjectiv- ity in the measurements and limits the information which could be exploited from the Doppler velocity profile. Accordingly, our goals re to develop a technique for nearly automated detection of Doppler coronary flow velocity profile, and automatically compute both conven- tional and additional amplitude, derivative and temporal parameters, and validate it with manual tracings. A total of 100 patients (17 normals, 15 patients with severe coronary stenosis, 41 with connective tissue disease and 27 with diabetes mellitus) re studied. Linear correlation and Bland-Altman analyses shod that the proposed method was highly accurate and repeatable compared to the manual measurements. Comparison beten groups evidenced significant differences in some of the automated parame- ters, thus representing potentially additional indices useful for the noninvasive diagnosis of microcirculatory or coro- nary artery disease."}]