Computer Assisted Analysis of Echocardiographic Image Sequences

نویسندگان

  • Andrea Giachetti
  • Guido Gigli
  • Vincent Torre
چکیده

In this paper we present a semi-automatic system for the analysis of echocardiographic image sequences, able to provide useful information to cardiologists. The proposed approach combines well known techniques for the detection of left ventricular boundaries with the computation of optical ow. The initial detection of the cavity contour is based on an improved balloon model, the computation of optical ow is performed with a correlation technique and the contour tracking is obtained combining motion information provided by the optical ow with a snake-based regularization. The system is able to follow precisely the cavities motion, to provide several quantitative features of the heart beat and a dynamic representation of systolic and diastolic motion. Preliminary experimental results are presented and commented.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

P-106: The Computer-Assisted Vacuolated Sperm Analysis and Zygote Quality

Background: Digital image processing and analysis are used for computer assisted evaluation of sperm morphology. Sperm head morphology has been identified as a characteristic that can be used to predict a male’s semen quality. On the other hand, zygote competence analysis is an importance tool to select embryo(s) for transfer. The aim of the present study is to determine zygote quality resulted...

متن کامل

Phase-Based Registration of Multi-view Real-Time Three-Dimensional Echocardiographic Sequences

Real time three-dimensional echocardiography opens the possibility of interactive, fast three-dimensional analysis of cardiac anatomy and function. However, at the present time these capabilities cannot be fully exploited due to the low image quality associated to this modality. We propose to increase image quality and information content by combining images acquired from different echocardiogr...

متن کامل

Segmentation of the Left Atrial Appendage in the Echocardiographic Images of the Heart Using a Deep Neural Network

Introduction: Cardiovascular diseases are one of the leading causes of mortality in today’s industrial world. Occlusion of left atrial appendage (LAA) using the manufactured devices is a growing trend. The objective of this study was to develop a computer-aided diagnosis system for the identification of LAA in echocardiographic images. Method: The data used in this descriptive analytical study ...

متن کامل

Segmentation of the Left Atrial Appendage in the Echocardiographic Images of the Heart Using a Deep Neural Network

Introduction: Cardiovascular diseases are one of the leading causes of mortality in today’s industrial world. Occlusion of left atrial appendage (LAA) using the manufactured devices is a growing trend. The objective of this study was to develop a computer-aided diagnosis system for the identification of LAA in echocardiographic images. Method: The data used in this descriptive analytical study ...

متن کامل

A Semi-Automated Algorithm for Segmentation of the Left Atrial Appendage Landing Zone: Application in Left Atrial Appendage Occlusion Procedures

Background: Mechanical occlusion of the Left atrial appendage (LAA) using a purpose-built device has emerged as an effective prophylactic treatment in patients with atrial fibrillation at risk of stroke and a contraindication for anticoagulation. A crucial step in procedural planning is the choice of the device size. This is currently based on the manual analysis of the “Device Landing Zone” fr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1995