Biomedical subjects

Sabee Molloi

Publications and source records attributed to Sabee Molloi.

22 records · Page 2Linked to original sources

PubMed2002

In vivo validation of the design rules of the coronary arteries and their application in the assessment of diffuse disease.

The conventional rationale that uses per cent diameter reduction to assess diffuse coronary artery disease is not appropriate because no normal reference segments exist. In a recent publication, we have proposed a theoretical model based on physical principles that relate the various morphological and haemodynamic parameters (cross-sectional area, length, volume and flow) of the normal coronary arterial tree. The model was validated using haemodynamic simulations based on detailed morphological data of the pig coronary arterial tree. This paper extends the model validation to in vivo swine studies. Coronary arteriography was performed in five swine (15-18 kg body weight) after power injection of contrast material into the coronary artery. Coronary arterial length was obtained using a 3D reconstruction technique. The arterial volume, cross-sectional area and blood flow were measured using videodensitometry. The proposed relationships between these quantities were validated. Furthermore, a sensitivity analysis was demonstrated based on a simulation of diffuse coronary artery disease (approximately 40% reduction in cross-sectional area). The results of a sensitivity analysis based on a simulation of diffuse coronary artery disease suggest that the relationships between arterial volume, cross-sectional area, blood flow and the distal arterial length can be utilized to quantify moderate levels of diffuse coronary artery disease.

Algorithms↗

PubMed2002

Reshapable physical modulator for intensity modulated radiation therapy.

A new method of generating beam intensity modulation filters for intensity modulated radiation therapy (IMRT) is presented. The modulator was based on a reshapable material, which is not compressible but can be deformed under pressure. A two-dimensional (2D) piston array was used to repeatedly shape the attenuating material. The material is a mixture of tungsten powder and a silicon-based binder. The linear attenuation coefficient of the material was measured to be 0.409 cm(-1) for a 6 MV x-ray beam. The maximum thickness of the physical modulator is 10.2 cm, allowing a transmission of 1.5%. A 16 x 16 square piston array was used to generate a depth pattern in the deformable attenuating material. Each piston has a cross section of 6.37 x 6.37 mm2. The modulator was placed 65 cm from the radiation source of the linear accelerator in the position of the shielding tray. At this position, each piston projects to a 1.0 x 1.0 cm2 area at the isocenter, giving a treatment field of 16 x 16 cm2. The percent depth dose curve and output factor measurement show a slight beam hardening and a 1%-4% increase in scatter fraction when 2.2-4.4 cm uniform thickness filters are in the beam. The surface dose was decreased with the filter in the beam. Ion chamber and verification films were used to verify the entrance dose. The measured absolute and relative doses were compared with the calculated dose. The agreement of measurements and calculations is within 3%. In order to verify the spatial modulation of dose, 1-D dose profiles were obtained using dose calculations. Calculated and measured profiles were compared. The 20%-80% penumbra of the modulator was measured to be 5.5-10 mm. The results show that a physical modulator formed using a 16 x 16 piston array and a deformable attenuation material can provide intensity modulation for IMRT comparable with those provided by currently available commercial MLC techniques.

Biophysical Phenomena↗

PubMedDate not supplied

Vascular tree object segmentation by deskeletonization of valley courses.

In this paper, we propose a valley-course-based image segmentation technique for tree-like object delineation, as an alternative to the traditional centerline-based methods. This technique consists of valley-course extraction, skeleton pruning and deskeletonization. Valley courses, constructed from valley points that are obtained by star-pattern scanning over an image, offer a natural manner of identifying tree skeletons. Unattached segments are removed using morphological operations. A structured tree is then constructed from the skeletons by using a tree pruning/spanning algorithm. A fleshy tree-like object is obtained by a deskeletonization procedure, which consists of extracting tree boundary in vicinity of the skeletons in the original image. The tree boundary is determined by identifying paired edge points at a valley point. A derivative-free edge identification approach is proposed, which defines an edge point at a side-slope by a relative intensity drop with respect to the local background. An empirical formula using a logarithmic function of local intensity contrast offers desirable characteristics of adaptability and stability. The adaptability of edge points to the local background is attributed to the compression behavior of logarithmic function. Furthermore, stability to noise is resulted because derivative operations are not used. The segmentation technique was validated using coronary angiographic images.

Algorithms↗

PubMedDate not supplied

Automatic 3D vascular tree construction in CT angiography.

This study presents an automatic method for 3D reconstruction of vascular trees using computed-tomography angiographic (CTA) images. The program starts with the CTA slices, performs a sequential procedure of 3D image formation, preprocessing, segmentation, thinning, skeleton pruning and tree construction. It ends with vascular trees along with quantitative data about the trees such as values of diameter, length and bifurcation angles. All the involved algorithms are presented with the emphasis given to the skeleton pruning and tree construction algorithms. The skeletons obtained using a 3D thinning algorithm may contain cycles, spurs, isolated sticks, and non-unit-width parts, which hinder tree construction. As a solution to this problem, a skeleton pruning and tree construction algorithm is proposed. At each stage of the automatic procedure, 3D rendering is provided for visual inspection of the computed results. In the final output, the constructed vascular trees are visualized by rendering the 3D trees and the 3D binary image together in a transparent display mode. The program is carried out in a fully automatic fashion, with a few default settings. Occasionally, user intervention is needed at the 3D segmentation stage to impose an appropriate threshold when the automatic 3D segmentation is obviously sub-optimal for vessel delineation. Experimental demonstrations on both coronary artery phantom and a cast of coronary artery tree of a swine animal model are provided.

Angiography↗