FISICO: Fast Image SegmentatIon COrrection.

BACKGROUND AND PURPOSE In clinical diagnosis, medical image segmentation plays a key role in the analysis of pathological regions. Despite advances in automatic and semi-automatic segmentation techniques, time-effective correction tools are commonly needed to improve segmentation results. Therefore, these tools must provide faster corrections with a lower number of interactions, and a user-independent solution to reduce the time frame between image acquisition and diagnosis. METHODS We present a new interactive method for correcting image segmentations. Our method provides 3D shape corrections through 2D interactions. This approach enables an intuitive and natural corrections of 3D segmentation results. The developed method has been implemented into a software tool and has been evaluated for the task of lumbar muscle and knee joint segmentations from MR images. RESULTS Experimental results show that full segmentation corrections could be performed within an average correction time of 5.5±3.3 minutes and an average of 56.5±33.1 user interactions, while maintaining the quality of the final segmentation result within an average Dice coefficient of 0.92±0.02 for both anatomies. In addition, for users with different levels of expertise, our method yields a correction time and number of interaction decrease from 38±19.2 minutes to 6.4±4.3 minutes, and 339±157.1 to 67.7±39.6 interactions, respectively.

55 mph - Interstate Communications Project. Task 2: target audience segmentation study. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Methodological aspects of scene segmentation.

"COO-2118-0028."

Genesis--a compiler generator using language segmentation /

Typescript.

The structure of labor market segmentation of occupations : some evidence from factor analysis /

Includes bibliographies (p. 31).

Phonological features of Yazghulami : A field study

Yazghulami is a South-East Iranian language spoken in the Pamir area of Tajikistan by about 9000 people. This study gives an account of the phonology of the language by describing contrastive segments and their distribution and realizations, as well as describing suprasegmental features such as syllable structure and stress patterns. Field research was carried out in a community of Yazghulami speakers in Dushanbe, the capital of Tajikistan, by recording, transcribing and annotating spoken language. Yazghulami is analyzed as having 8 vowel phonemes of which one pair contrasts in length, and 36 consonant phonemes with a considerable display of palatal, velar and uvular phonemes, of which a set of three labialized plosives and three labialized fricatives is found. The syllable structure of Yazghulami allows for clusters of no more than two consonants in the onset and two in the coda; clusters in both positions do not occur in one and the same syllable. The stress generally falls on the last syllable of a word, although when nouns are inflected with suffixes, the stress instead falls on the last syllable of the stem. With these results, a foundation for further efforts to develop and increase the status of this endangered language is laid.

Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images

Mixture models implemented via the expectation-maximization (EM) algorithm are being increasingly used in a wide range of problems in pattern recognition such as image segmentation. However, the EM algorithm requires considerable computational time in its application to huge data sets such as a three-dimensional magnetic resonance (MR) image of over 10 million voxels. Recently, it was shown that a sparse, incremental version of the EM algorithm could improve its rate of convergence. In this paper, we show how this modified EM algorithm can be speeded up further by adopting a multiresolution kd-tree structure in performing the E-step. The proposed algorithm outperforms some other variants of the EM algorithm for segmenting MR images of the human brain. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

The use of unwrapped phase in MR image segmentation: A preliminary study

This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentation of the bones of the knee. The phase information provides a very good discrimination between the bone and the surrounding tissues, but is usually not used due to phase unwrapping problems. We present a method to extract textural information from the phase that does not require phase unwrapping. The textural information extracted from the magnitude and the phase can be combined to perform tissue classification, and used to initialise an active shape model, leading to a more precise segmentation.

Longitudinal associations between children's phonological processing abilities, ADHD-like behaviour ratings and early reading develpment

The current study examined the contribution of phonological processing abilities and ADHD-like behaviours to first-grade word reading ability. 136 children were tested at the beginning and end of first grade. At both times, teachers rated children on hyperactive, inattentive, and oppositional behaviour. Children were given tests of letter knowledge at T1 and tests of word reading, phonological sensitivity, phonological memory, rapid automatised naming, and vocabulary at T1 and T2. Regression analyses revealed that, of the behavioural measures, inattention made the strongest contribution to T2 reading, even after controlling for the effects of T1 reading, hyperactivity, and oppositional behaviour. Hyperactivity did not explain variance in T2 reading once the effect of inattention was controlled. Inattention predicted 4.7% independent variance in T2 word reading ability, even after the effects of T1 reading, vocabulary, and phonological processing were controlled. Although phonological processing predicted 9.3% independent variance in T2 word reading, even after the effects of reading, vocabulary, and inattention were controlled, the effects of phonological processing may have been partly mediated by inattention. This research indicates that inattention contributes to the prediction of early reading development in unselected populations, and that this influence is independent of other key cognitive predictors of reading ability.

A fuzzy approach to texture segmentation

The texture segmentation techniques are diversified by the existence of several approaches. In this paper, we propose fuzzy features for the segmentation of texture image. For this purpose, a membership function is constructed to represent the effect of the neighboring pixels on the current pixel in a window. Using these membership function values, we find a feature by weighted average method for the current pixel. This is repeated for all pixels in the window treating each time one pixel as the current pixel. Using these fuzzy based features, we derive three descriptors such as maximum, entropy, and energy for each window. To segment the texture image, the modified mountain clustering that is unsupervised and fuzzy c-means clustering have been used. The performance of the proposed features is compared with that of fractal features.