Viren Sardana

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Inequity in health care access is a major cause of increasing disease burden, catastrophic medical expenses, and inability to escape poverty, especially in the developing world [1–6]. Government programs to effect disease surveillance and treatment do exist, such as for tuberculosis, yet proper implementation is often lacking, especially in rural regions(More)
Cone-beam computed tomography (CBCT) is now an established component for 3D evaluation and treatment planning of patients with severe malocclusion and craniofacial deformities. Precision landmark plotting on 3D images for cephalometric analysis requires considerable effort and time, notwithstanding the experience of landmark plotting, which raises a need to(More)
Obstructive sleep apnea (OSA) is one of the common sleep breathing disorders in adults, characterised by frequent episodes of upper airway collapse during sleep. Craniofacial disharmony is an important risk factor for OSA. Overnight polysomnography (PSG) study is considered to be the most reliable confirmatory investigation for OSA diagnosis, whereas the(More)
INTRODUCTION The objective of this study was to evaluate the effect of the orientation of cone-beam computed tomography (CBCT) images on the precision and reliability of 3-dimensional cephalometric landmark identification. METHODS Ten CBCT scans were used for manual landmark identification. Volume-rendered images were oriented by aligning the Frankfort(More)
Owing to the reduced co-relationship between conventional flat Petri dish culture (two-dimensional) and the tumour microenvironment, there has been a shift towards three-dimensional culture systems that show an improved analogy to the same. In this work, an extracellular matrix (ECM)-mimicking three-dimensional scaffold based on chitosan and gelatin was(More)
Radiation therapy (RT) is one of the modalities employed for treatment of cancer patients by irradiating the region to be treated using ionizing radiation. In radiation therapy, accurate patient positioning is an important requirement for precise dosage delivery. This paper presents a methodology for image registration employed in verification of the(More)
Manual cephalogram marking has long way from marking on tracing sheet to availability of commercial software's for cephalometric analysis. With the effort involved in manual marking and time consumption, it becomes imperative for modern science to envisage algorithms which could automatically locate landmarks on the cephalogram images and perform various(More)
OBJECTIVES To propose an algorithm for automatic localization of 3D cephalometric landmarks on CBCT data, those are useful for both cephalometric and upper airway volumetric analysis. METHODS Twenty landmarks were targeted for automatic detection, of which twelve landmark sexists on the mid-sagittal plane. Automatic detection of mid-sagittal plane from(More)
The objective of the present study is to put forward a novel automatic segmentation algorithm to segment pharyngeal and sino-nasal airway subregions on 3D CBCT imaging datasets. A fully automatic segmentation of sino-nasal and pharyngeal airway subregions was implemented in MATLAB programing environment. The novelty of the algorithm is automatic(More)
To evaluate the accuracy of three-dimensional cephalometric measurements obtained through an automatic landmark detection algorithm compared to those obtained through manual identification. The study demonstrates a comparison of 51 cephalometric measurements (28 linear, 16 angles and 7 ratios) on 30 CBCT (cone beam computed tomography) images. The analysis(More)
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