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Prostate Boundary Detection From Ultrasonographic Images
Author(s) -
Shao Fan,
Ling Keck Voon,
Ng Wan Sing,
Wu Ruo Yun
Publication year - 2003
Publication title -
journal of ultrasound in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 91
eISSN - 1550-9613
pISSN - 0278-4297
DOI - 10.7863/jum.2003.22.6.605
Subject(s) - medicine , prostate , boundary (topology) , task (project management) , scope (computer science) , focus (optics) , process (computing) , artificial intelligence , key (lock) , medical physics , computer science , radiology , computer vision , systems engineering , mathematical analysis , physics , mathematics , computer security , optics , cancer , engineering , programming language , operating system
Objective . Prostate diseases are very common in adult and elderly men, and prostate boundary detection from ultrasonographic images plays a key role in prostate disease diagnosis and treatment. However, because of the poor quality of ultrasonographic images, prostate boundary detection still remains a challenging task. Currently, this task is performed manually, which is arduous and heavily user dependent. To improve the efficiency by automating the boundary detection process, numerous methods have been proposed. We present a review of these methods, aiming to find a good solution that could efficiently detect the prostate boundary on ultrasonographic images. Methods . A full description of various methods is beyond the scope of this article; instead, we focus on providing an introduction to the different methods with a discussion of their advantages and disadvantages. Moreover, verification methods for estimating the accuracies of the algorithms reported in the literature are discussed as well. Results . From the investigation, we summarize several key issues that might be confronted and project possible future research. Conclusions . Those model‐based methods that minimize user involvement but allow for interactive guidance of experts will likely be most immediately successful.