A Locally Adaptive Registration Technique for High Precision Registration of 3-D MRI Data

Coley, Mark D.; Ansorge, R. E.; Hall, Laurance D.; Carpenter, T. Adrian

doi:10.1006/nimg.2000.0638

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…Initially, the whole model was translated in 26-neighbor directions to locate the minimum overall external energy (Eq. [5]) position. To keep the model within transformed position ranges, translation was limited to a maximum distance of five voxels.…”

Section: Methodsmentioning

confidence: 96%

A knowledge‐guided active model method of cortical structure segmentation on pediatric MR images

Shan¹,

Parra²,

Ji³

et al. 2006

Magnetic Resonance Imaging

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We have developed a novel automatic algorithm, KAM, for segmentation of cortical structures on MR images of pediatric patients. Our preliminary results indicated that when segmenting cortical structures, KAM was in better agreement with manually-delineated structures than SPM2. KAM can potentially be used to segment cortical structures for conformal radiation therapy planning and for quantitative evaluation of changes in disease or abnormality.

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Section: Methodsmentioning

confidence: 96%

A knowledge‐guided active model method of cortical structure segmentation on pediatric MR images

Shan¹,

Parra²,

Ji³

et al. 2006

Magnetic Resonance Imaging

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show abstract

“…In registration-based procedures, MR brain images are warped onto a brain atlas, or a warped brain atlas is used to fit the MR images [3][4][5][6][7][8][9][10][11][12]. This type of method is dependent on establishing local correspondence between structures in the image and those in the atlas.…”

Section: Introductionmentioning

confidence: 99%

“…However, the registration-based method may suffer from the limited degrees of freedom of the transform [2], and a one-to-one mapping may not exist [13]. Furthermore, mismatches between the two data sets may lead to significant errors [12].…”

Section: Introductionmentioning

confidence: 99%

Automated human frontal lobe identification in MR images based on fuzzy-logic encoded expert anatomic knowledge

Shan

Liu

Yue

2004

Magnetic Resonance Imaging

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A knowledge‐guided active contour method of segmentation of cerebella on MR images of pediatric patients with medulloblastoma

Shan

Gajjar

et al. 2004

Magnetic Resonance Imaging

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Purpose:To develop an automated method for identification of the cerebella on magnetic resonance (MR) images of patients with medulloblastoma. Materials and Methods:The method used a template constructed from 10 patients' aligned MR head images, and the contour of this template was superimposed on the aligned data set of a given patient as the starting contour. The starting contour was then actively adjusted to locate the boundary of the cerebellum of the given patient. Morphologic operations were applied to the outlined volume to generate cerebellum images. The method was then applied to data sets of 20 other patients to generate cerebellum images and volumetric results. Results:Comparison of the automatically generated cerebellum images with two sets of manually traced images showed a strong correlation between the automatically and manually generated volumetric results (correlation coefficient, 0.97). The average Jaccard similarities were 0.89 and 0.88 in comparison to each of two manually traced images, respectively. The same comparisons yielded average kappa indexes of 0.94 and 0.93, respectively. Conclusion:The method was robust and accurate for cerebellum segmentation on MR images of patients with medulloblastoma. The method may be applied to investigations that require segmentation and quantitative measurement of MR images of the cerebellum.

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A Locally Adaptive Registration Technique for High Precision Registration of 3-D MRI Data

Cited by 6 publications

References 9 publications

A knowledge‐guided active model method of cortical structure segmentation on pediatric MR images

A knowledge‐guided active model method of cortical structure segmentation on pediatric MR images

Automated human frontal lobe identification in MR images based on fuzzy-logic encoded expert anatomic knowledge

A knowledge‐guided active contour method of segmentation of cerebella on MR images of pediatric patients with medulloblastoma

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