Ali Sadeghi Naini

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Hyperelastic properties of deflated lung tissue have been characterized via an inverse finite element approach. Such properties are useful in many medical diagnosis and treatment applications where tissue deformation can be modeled to account for during the procedure. Several indentation experiments were conducted on various porcine lungs' tissue specimens(More)
A technique is proposed to enhance the quality of intraoperative ultrasound (US) images of a deflated lung undergoing minimally invasive tumor ablative procedure. Since US images are very sensitive to residual air remaining in deflated lung, lung US images have very poor quality, and hence, are not appropriate for image-guided procedures. Therefore, a(More)
PURPOSE A novel technique is proposed to construct CT image of a totally deflated lung from a free-breathing 4D-CT image sequence acquired preoperatively. Such a constructed CT image is very useful in performing tumor ablative procedures such as lung brachytherapy. Tumor ablative procedures are frequently performed while the lung is totally deflated.(More)
A respiratory image-sequence-segmentation technique is introduced based on a novel image-sequence analysis. The proposed technique is capable of segmenting the lung's air and its soft tissues followed by estimating the lung's air volume and its variations throughout the image sequence. Accurate estimation of these two parameters is very important in many(More)
A novel technique is proposed to construct CT images of the lung in a totally deflated mode using non-rigid registration and extrapolation. This CT image would be very useful in performing tumor ablative procedures (such as brachytherapy) for the treatment of lung cancer. This is because during such procedures the target lung is almost completely deflated(More)
Locality-sensitive hashing has been applied in several problems in bioinformatics to quickly search large sequences by examining the n-grams of the sequences. We observe in these application a bias in the random generation of hashes and define an effective equivalence for hashes that generate nearly identical results. Methods that address these two points(More)
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