Abstract：
:An algorithm is developed that detects well-localized, unfragmented, thin edges in medical images based on optimization of edge configurations using a genetic algorithm (GA). Several enhancements were added to improve the performance of the algorithm over a traditional GA. The edge map is split into connected subregions to reduce the solution space and simplify the problem. The edge-map is then optimized in parallel using incorporated genetic operators that perform transforms on edge structures. Adaptation is used to control operator probabilities based on their participation. The GA was compared to the simulated annealing (SA) approach using ideal and actual medical images from different modalities including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound. Quantitative comparisons were provided based on the Pratt figure of merit and on the cost-function minimization. The detected edges were thin, continuous, and well localized. Most of the basic edge features were detected. Results for different medical image modalities are promising and encourage further investigation to improve the accuracy and experiment with different cost functions and genetic operators.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Gudmundsson M,El-Kwae EA,Kabuka MRdoi
10.1109/42.712136subject
Has Abstractpub_date
1998-06-01 00:00:00pages
469-74issue
3eissn
0278-0062issn
1558-254Xjournal_volume
17pub_type
信件abstract：:This paper presents a novel image-guided robot-based system to assist orthopedic surgeons in performing distal locking of long bone intramedullary nails. The system consists of a bone-mounted miniature robot fitted with a drill guide that provides rigid mechanical guidance for hand-held drilling of the distal screws' ...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2005.844922
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abstract：:Optical coherence tomography (OCT) uses retroreflected light to provide micrometer-resolution, cross-sectional scans of biological tissues. OCT's first application was in ophthalmic imaging where it has proven particularly useful in diagnosing, monitoring, and studying glaucoma. Diagnosing glaucoma is difficult and it...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2006.871417
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journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.746636
更新日期：1998-12-01 00:00:00
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journal_title：IEEE transactions on medical imaging
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journal_title：IEEE transactions on medical imaging
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更新日期：2017-10-01 00:00:00
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journal_title：IEEE transactions on medical imaging
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journal_title：IEEE transactions on medical imaging
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journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2014.2380993
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journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2011.2125980
更新日期：2011-08-01 00:00:00
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journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
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更新日期：2010-10-01 00:00:00
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journal_title：IEEE transactions on medical imaging
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更新日期：2018-01-01 00:00:00
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journal_title：IEEE transactions on medical imaging
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更新日期：2021-01-01 00:00:00
abstract：:X-ray computed tomography (CT) using sparse projection views is a recent approach to reduce the radiation dose. However, due to the insufficient projection views, an analytic reconstruction approach using the filtered back projection (FBP) produces severe streaking artifacts. Recently, deep learning approaches using l...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2018.2823768
更新日期：2018-06-01 00:00:00
abstract：:A novel splat feature classification method is presented with application to retinal hemorrhage detection in fundus images. Reliable detection of retinal hemorrhages is important in the development of automated screening systems which can be translated into practice. Under our supervised approach, retinal color images...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2012.2227119
更新日期：2013-02-01 00:00:00
abstract：:Anisotropic multi-slice Cardiac Magnetic Resonance (CMR) Images are conventionally acquired in patient-specific short-axis (SAX) orientation. In specific cardiovascular diseases that affect right ventricular (RV) morphology, acquisitions in standard axial (AX) orientation are preferred by some investigators, due to po...
journal_title：IEEE transactions on medical imaging
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更新日期：2021-01-20 00:00:00
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journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2019.2942194
更新日期：2020-04-01 00:00:00
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journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.764893
更新日期：1999-03-01 00:00:00
abstract：:New biopsy techniques, increased life expectancy, and prostate-specific antigen (PSA) screening have contributed to an increase in the reported incidence of prostate cancer. Among several treatment options available to the patients, transperineal prostate brachytherapy has emerged as a medically successful, cost-effec...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.736032
更新日期：1998-10-01 00:00:00
abstract：:The problem of automatic quantification of brain tissue by utilizing single-valued (single echo) magnetic resonance imaging (MRI) brain scans is addressed. It is shown that this problem can be solved without classification or segmentation, a method that may be particularly useful in quantifying white matter lesions wh...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.241885
更新日期：1993-01-01 00:00:00
abstract：:Maximization of mutual information (MMI) is a popular similarity measure for medical image registration. Although its accuracy and robustness has been demonstrated for rigid body image registration, extending MMI to nonrigid image registration is not trivial and an active field of research. We propose conditional mutu...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2009.2021843
更新日期：2010-01-01 00:00:00
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journal_title：IEEE transactions on medical imaging
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doi：10.1109/TMI.2015.2478880
更新日期：2016-02-01 00:00:00
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journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.650876
更新日期：1997-12-01 00:00:00
abstract：:A computationally efficient mixed feature based neural network (MFNN) is proposed for the detection of microcalcification clusters (MCCs) in digitized mammograms. The MFNN employs features computed in both the spatial and spectral domain and uses spectral entropy as a decision parameter. Backpropagation with Kalman fi...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.538936
更新日期：1996-01-01 00:00:00
abstract：:This paper introduces and evaluates a block-iterative Fisher scoring (BFS) algorithm. The algorithm provides regularized estimation in tomographic models of projection data with Poisson variability. Regularization is achieved by penalized likelihood with a general quadratic penalty. Local convergence of the block-iter...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2008.918355
更新日期：2008-08-01 00:00:00
abstract：:A common challenge when performing surface-based registration of images is ensuring that the surfaces accurately represent consistent anatomical boundaries. Image segmentation may be difficult in some regions due to either poor contrast, low slice resolution, or tissue ambiguities. To address this, we present a novel ...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2015.2443978
更新日期：2015-12-01 00:00:00
abstract：:This paper establishes for the first time that a coupled ultrasound (US) and electrical impedance tomography (EIT) system can serve as a non-invasive, spatially localized approach to extract clinically relevant muscle properties. The US/EIT system represents a potential enhancement to electrical impedance myography (E...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2018.2886152
更新日期：2019-06-01 00:00:00
abstract：:A new graph-based approach for segmentation of luminal and external elastic lamina (EEL) surface of coronary vessels in gated 20 MHz intravascular ultrasound (IVUS) image sequences (volumes) is presented. The approach consists of a fully automated segmentation stage ("new automated" or NA) and a user-guided computer-a...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2013.2260763
更新日期：2013-08-01 00:00:00
abstract：:Cell segmentation and tracking in time-lapse fluorescence microscopy images is a task of fundamental importance in many biological studies on cell migration and proliferation. In recent years, level sets have been shown to provide a very appropriate framework for this purpose, as they are well suited to capture topolo...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2009.2038693
更新日期：2010-03-01 00:00:00
abstract：:High-resolution X-ray computed tomography (CT) imaging is routinely used for clinical pulmonary applications. Since lung function varies regionally and because pulmonary disease is usually not uniformly distributed in the lungs, it is useful to study the lungs on a lobe-by-lobe basis. Thus, it is important to segment ...
journal_title：IEEE transactions on medical imaging
pub_type： 临床试验,杂志文章
doi：10.1109/TMI.2005.859209
更新日期：2006-01-01 00:00:00
abstract：:This paper presents a fully automated algorithm for segmentation of multiple sclerosis (MS) lesions from multispectral magnetic resonance (MR) images. The method performs intensity-based tissue classification using a stochastic model for normal brain images and simultaneously detects MS lesions as outliers that are no...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.938237
更新日期：2001-08-01 00:00:00
