Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images

Wang, Xingwei; Li, Shibo; Liu, Hong; Wood, Marc C.; Chen, Wei R.; Zheng, Bin

doi:10.1016/j.jbi.2007.06.008

Cited by 34 publications

(35 citation statements)

References 28 publications

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“…Through our previous studies [11][12][13][14][15] and this study, we have developed and tested a new integrated microscopic image scanning system that has realized the following functions to scan the specimen slides with highspeed, capture the high-resolution analyzable metaphase chromosome images, and select the sharpest images by deleting blurred images. No similar study has been previously conducted.…”

Section: Discussionmentioning

confidence: 99%

“…The various computing algorithms including a rule-based approach [6], a knowledgebased chromosome contour searching method [7], a novel recursive algorithm [8], a minimum entropy segmentation method [9], and an artificial neural network (ANN) [10], have been tested and implemented in different automated metaphase-finding schemes. Currently, several commercialized microscopic image scanning systems (i.e., MetaSystems, Altlussheim, Germany [11]) have been developed and installed in some genetic laboratories. However, none of these systems have been routinely used in the clinical practice to date since much manual intervention is needed during the scanning period.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of a CAD scheme in selecting the optimal focused microscopic scanning images of the metaphase chromosomes

et al. 2011

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Visually searching for analyzable metaphase chromosome cells under microscopes is a routine and timeconsuming task in genetic laboratories to diagnose cancer and genetic disorders. To improve detection efficiency, consistency, and accuracy, we developed an automated microscopic image scanning system using a 100X oil immersion objective lens to acquire images that has sufficient spatial resolution allowing clinicians to do diagnosis. Due to the highresolution, the field of image depth is very limited and multiple scans up to seven layers are required. Thus, a metaphase cell can spread over multiple images at different focal levels. Among them only one or two are adequate for the diagnosis and the others are typically fuzzy images. In this study, we developed and tested a computer-aided detection (CAD) scheme to automatically select one image with the sharpest image quality and discard all of the other fuzzy images based on the computed sharpness index. From three scanned bone marrow specimen slides, the on-line and offline metaphase finding modules automatically selected 100 chromosome cells with 534 images. These images were selected to build a testing dataset. For each cell, the CAD scheme selects one image with the maximum sharpness index. Three observers also independently visually selected one best image for diagnosis from each cell. The agreement rate between CAD and visually selected images ranges from 89% to 96%, which is also very comparable to the agreement rate between the two observers. This experiment demonstrated the feasibility of applying a CAD scheme to select the images with sharpest high-resolution metaphase chromosome cell and potentially improve diagnostic efficiency and accuracy in the future clinical practice.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of a CAD scheme in selecting the optimal focused microscopic scanning images of the metaphase chromosomes

et al. 2011

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“…37 In brief, a median filter is first used to reduce the noise and artifact background in the digital microscopic chromosome images. Second, an adjustable threshold is applied to obtain binary images from the original microscopic images.…”

Section: Methodsmentioning

confidence: 99%

“…37, 38 This study aims to (1) integrate these two computerized algorithms (modules) into one computer-aided detection (CAD) scheme and (2) test performance and robustness of the scheme. This integrated CAD scheme automatically detects analyzable metaphase cells depicted on the digital microscopic images acquired by an optical microscope with high magnification objective (e.g., 100X) and directly classifies individual chromosomes of the identified analyzable cells.…”

Section: Introductionmentioning

confidence: 99%

Development and assessment of an integrated computer-aided detection scheme for digital microscopic images of metaphase chromosomes

Wang

Mulvihill

et al. 2008

J. Electron. Imaging

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The authors developed an integrated computer-aided detection (CAD) scheme for detecting and classifying metaphase chromosomes as well as assessing its performance and robustness. This scheme includes an automatic metaphase-finding module and a karyotyping module and it was applied to a testing database with 200 digital microscopic images. The automatic metaphase-finding module detects analyzable metaphase cells using a feature-based artificial neural network (ANN). The ANN-generated outputs are analyzed by a receiver operating characteristics (ROC) method and an area under the ROC curve is 0.966. Then, the automatic karyotyping module classifies individual chromosomes of this cell into 24 types. In this module, a two-layer decision tree-based classifier with eight ANNs established in its connection nodes was optimized by a genetic algorithm. Chromosomes are first classified into seven groups by the ANN in the first layer. The chromosomes in these groups are then separately classified by seven ANNs into 24 types in the second layer. The classification accuracy is 94.5% in the first layer. Six ANNs achieved the accuracy above 95% and only one had lessened performance (80.6%) in the second layer. The overall classification accuracy is 91.5% as compared to 86.7% in the previous study using two independent datasets randomly acquired from our genetic laboratory. The results demonstrate that our automated scheme achieves high and robust performance in identification and classification of metaphase chromosomes.

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“…Lymphocytes from peripheral blood samples were prepared and G-banded by standard methods as described by Wang et al [16] .…”

Section: Cytogenetic Analysismentioning

confidence: 99%

Molecular genetic analysis of partial 9p trisomy in two Chinese families with mental retardation and facial anomaly

Feng

Dai

Wang

et al. 2011

J. Huazhong Univ. Sci. Technol. [Med. Sci.]

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Mental retardation is defined by significant limitations in intellectual function and adaptive behavior that occur before 18 years of age. Many chromosomal diseases come with mental retardation. We reported two Chinese families with partial trisomy 9p and other chromosome partial monosomy, clinical features of mental retardation and mild facial and pinkie anomalies. In the family 1, we showed that the proband carried a trisomy 9p21.3→pter and monosomy 21q22.3→qter by using fluorescence in situ hybridization analysis. Molecular genetic analysis defined the precise breakpoint on chromosome 9p between markers D9S1846 and D9S171, an interval of about 2.9 Mb on 9p21.3, and the breakpoint on chromosome 21q between markers D21S1897 and D21S1446, a region of about 1.5 Mb on 21q22.3. In the family 2, a patient with trisomy 9p21.3→pter and monosomy 5p15.33→pter, and a de novo maternal balanced translocation between chromosomes 5 and 9 was identified in his mother. Cytogenetic and molecular genetic analysis defined the precise breakpoints on chromosome 9p21.3 and chromosome 5p15.33. Further clinical investigation found that any individual had no refractoriness eczema disease except the proband in this family. These results further implicate that trisomy 9p is associated with mental retardation, and that there may be key gene duplication on chromosome 9p21.3→9pter responsible for mental retardation and mild facial anomaly. This result has been applied successfully in prenatal diagnosis of the second family.

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Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images

Cited by 34 publications

References 28 publications

Assessment of a CAD scheme in selecting the optimal focused microscopic scanning images of the metaphase chromosomes

Assessment of a CAD scheme in selecting the optimal focused microscopic scanning images of the metaphase chromosomes

Development and assessment of an integrated computer-aided detection scheme for digital microscopic images of metaphase chromosomes

Molecular genetic analysis of partial 9p trisomy in two Chinese families with mental retardation and facial anomaly

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