Computer Vision, Pattern Recognition and Image Processing in Left Ventricle Segmentation: The Last 50 Years

  • Suri J
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Abstract

In the last decade, computer vision, pattern recognition, image processing and cardiac researchers have given immense attention to cardiac image analysis and modelling. This paper survets state-of-the-art computer vision and pattern recognition techniques for Left Ventricle ({LV}) segmentation and modelling during the second half of the twentieth century. The paper presents the key charateristics of successful model-based segmentation and modelling during the second half of the twentieth century. The paper presents the key characteristics of successful model-based segmentation techniques for {LV} modelling. This survey paper concludes the following: (1) any one pattern recognition or computer vision technique is not sufficient for accurate 2D, 3D or 4D modelling of {LV}; (2) fitting mathematical models for {LV} modelling have dominated in the last 15 tears; (3) knowledge extrated from the ground truth has lead to very successful attempts for {LV} modelling have dominated in the last 15 uears; (3) knowledge extracted from the ground truth has lead to very successful attempts at {LV} modelling;(4) spatial and temporal behaviour of {LV} through different imaging modalities has yielded information which has led to accurate {LV} modelling; and (5) not much attention has been paid to {LC} modelling validation.

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Authors

  • Jasjit S Suri

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