Krishna Kumar Perikamana

Krishna Kumar Perikamana
Indian Institute for Human Settlements (IIHS) · Academics & Research

PhD

About

14
Publications
3,800
Reads
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181
Citations
Additional affiliations
July 2017 - May 2018
National Institute of Technology Calicut
Position
  • Adhoc Faculty
July 2013 - present
National Institute of Technology Karnataka
Position
  • Researcher
August 2011 - July 2013
Amrita Vishwa Vidyapeetham
Position
  • Master's Student
Education
August 2006 - June 2010
Government College Of Engineering Kannur
Field of study
  • Electronics and Communication Engineering

Publications

Publications (14)
Preprint
Full-text available
Time series data of urban land cover is of great utility in analyzing urban growth patterns, changes in distribution of impervious surface and vegetation and resulting impacts on urban micro climate. While Landsat data is ideal for such analysis due to the long time series of free imagery, traditional per-pixel hard classification fails to yield fu...
Article
Background and objective: Accurate, reliable, efficient, and precise measurements of the lumen geometry of the common carotid artery (CCA) are important for (a) managing the progression/regression of atherosclerotic build-up and (b) the risk of stroke. The image-based degree of stenosis in the carotid artery and the plaque burden can be predicted...
Article
Cardiovascular diseases are the third leading cause of death worldwide. The primitive indication of the possible onset of a cardiovascular disease is atherosclerosis, which is the accumulation of plaque on the arterial wall. The intima-media thickness (IMT) of the common carotid artery is an early marker of the development of cardiovascular disease...
Article
Full-text available
Speckle is a type of noise which is often present in ultrasound images. Speckle is formed due to constructive or destructive interference of ultrasound waves. Due to the granular pattern of speckle noise, it hides important details in ultrasound images. Many despeckling techniques are proposed in the literature, but most of them fail to reach a bal...
Article
Monitoring of cerebrovascular diseases via carotid ultrasound has started to become a routine. The measurement of image-based lumen diameter (LD) or inter-adventitial diameter (IAD) is a promising approach for quantification of the degree of stenosis. The manual measurements of LD/IAD are not reliable, subjective and slow. The curvature associated...
Conference Paper
Full-text available
The quantification of carotid artery stenosis via imaging techniques guides the physicians to take a decision regarding surgical interventions. The measurement of wall thickness from magnetic resonance (MR) images is a promising approach to measure the degree of carotid stenosis. Manual tracing of the carotid vessel walls is time consuming and is s...
Article
Objective.—Degree of carotid stenosis is an important predictor to assess risk of stroke. Systolic velocity-based methods for lumen diameter and stenosis measurement are subjective. Image-based methods face a challenge because of low gradients in media and intima walls. Methods.—This article presents AtheroEdgeTM 2.0, a two-stage process for autom...
Article
Full-text available
The degree of stenosis in the carotid artery can be predicted using automated carotid lumen diameter (LD) measured from B-mode ultrasound images. Systolic velocity-based methods for measurement of LD are subjective. With the advancement of high resolution imaging, image-based methods have started to emerge. However, they require robust image analys...
Conference Paper
Medical ultrasound images are generally corrupted with a type of signal dependent noise called speckle. The major reason for the speckle in ultrasound images is the constructive or destructive interference of ultrasound waves. The granular pattern of the speckle noise degrades the image and hinders the information present in it. In this work, we de...
Article
Purpose: To compare the strength of correlation between automatically measured carotid lumen diameter (LD) and interadventitial diameter (IAD) with plaque score (PS). Methods: Retrospective study on a database of 404 common carotid artery B-mode sonographic images from 202 diabetic patients. LD and IAD were computed automatically using an advanc...
Article
Cardiovascular diseases (including stroke and heart attack) are identified as the leading cause of death in today's world. However, very little is understood about the arterial mechanics of plaque buildup, arterial fibrous cap rupture, and the role of abnormalities of the vasa vasorum. Recently, ultrasonic echogenicity characteristics and morpholog...
Article
The data acquired by magnetic resonance (MR) imaging system are inherently degraded by noise that has its origin in the thermal Brownian motion of electrons. Denoising can enhance the quality (by improving the SNR) of the acquired MR image, which is important for both visual analysis and other post processing operations. Recent works on maximum lik...
Article
Full-text available
Introduction: Ultrasound is often used for monitoring of carotid disease. In current clinical practice, degree of stenosis is an important predictor to assess stroke risk. Lumen narrowing from plaque is currently measured via techniques such as computed tomographic scan, magnetic resonance angiogram or conventional angiogram. Duplex ultrasound meas...
Conference Paper
Full-text available
Video event detection (VED) is a challenging task especially with a large variety of objects in the environment. Even though there exist numerous algorithms for event detection, most of them are unsuitable for a typical consumer purpose. A hybrid method for detecting and identifying the moving objects by their color and spatial information is prese...

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Projects

Projects (5)
Project
The India Data Cube (IDC) intends to address the specific issue of lack of data on population and development indicators at sufficient temporal and spatial resolution. Finer-resolution data on population and development indicators can present new insights about the population, which otherwise is obscured by coarse resolution census data available at administrative units (say wards in a city or districts in a country). Availability of high resolution estimates of population and development indicators can play vital role in policy formulation for deprived populations, to map exposure to various hazard risks and for targeted human assistance. IDC uses satellite, census and survey datasets in combination with open-source machine learning, computer vision and statistical models to develop high-resolution land cover, population and development indicators datasets for entire India for multiple census years.