Manjunath K NManipal Academy of Higher Education | MAHE · Manipal Institute of Technology (MIT)
Manjunath K N
B.E, M.Tech, Ph.D
About
42
Publications
27,748
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201
Citations
Citations since 2017
Introduction
Have 7+ years of corporate experience in the cross functional areas of Research and Development (CT Imaging and Radiation Oncology Solutions ), good knowledge of treatment planning systems, Treatment delivery techniques, Clinical workflow, DICOM RT, Physics-imaging-clinical applications of CT, MRI AND PET, all phases of Software Development Life Cycle.
Research Interests are Medical imaging and image processing, Treatment planning systems in radiation therapy, Cancer diagnosis using CT/MR.
Additional affiliations
January 2013 - September 2016
July 2012 - November 2012
Position
- Linkages And Partnership Required Between Academics & Industry to Bring The Reforms In Professional courses
Description
- International conference. ISSN Number: 0973-4562
January 2012 - September 2012
Position
- Stream - Treatment planning system in Radiation Oncology
Description
- Invention Disclosure filed in Siemens AG, Germany
Education
December 2012 - December 2015
August 2003 - August 2005
Publications
Publications (42)
Unlabelled:
Chest X-Ray (CXR) images provide most anatomical details and the abnormalities on a 2D plane. Therefore, a 2D view of the 3D anatomy is sometimes sufficient for the initial diagnosis. However, close to fourteen commonly occurring diseases are sometimes difficult to identify by visually inspecting the images. Therefore, there is a drift...
An automatic method for segmenting the liver from the portal venous phase of abdominal CT images using the K-Means clustering method is described in this paper. We have incorporated an interactive technique for correcting the errors in the liver segmentation results using power law transformation. The proposed method was validated on abdominal CT v...
Background:
Early diagnosis of a brain tumor is important for improving the treatment possibilities. Manually segmenting the tumor from the volumetric data is time-consuming, and the visualization of the tumor is rather challenging.
Methods:
This paper proposes a user-guided brain tumour segmentation from MRI (Magnetic Resonance Imaging) images...
Background:
Obtaining the right image dataset for the medical image research systematically is a tedious task. Anatomy segmentation is the key step before extracting the radiomic features from these images.
Objective:
The purpose of the study was to segment the 3D colon from CT images and to measure the smaller polyps using image processing tech...
Background:
While transmitting the medical images in radiology information systems the adversary effect can break the CIA (Confidentiality, Integrity, and Availability) triads of information security. The objective of the study was to transmit the complete set of image objects in a dataset without data integrity violation.
Methods:
In this paper...
Background
Medical image processing has a strong footprint in radio diagnosis for the detection of diseases from the images. Several computer-aided systems were researched in the recent past to assist the radiologist in diagnosing liver diseases and reducing the interpretation time. The aim of this paper is to provide an overview of the state-of-th...
Background
Evaluation of segmented colon is one of the challenges in Computed Tomography Colonography (CTC). The objective of the study was to measure the segmented colon accurately using image processing techniques.
Methods
This was a retrospective study, and the Institutional Ethical clearance was obtained for the secondary dataset. The techniqu...
Background: The purpose of the research was to improve the polyp detection accuracy in CT Colonography (CTC)
through effective colon segmentation, removal of tagged fecal matter through Electronic Cleansing (EC), and measuring
the smaller polyps. Methods: An improved method of boundary-based semi-automatic colon segmentation with the
knowledge of c...
Radiology Information Systems (RIS) involves the transmission of medical images between the PACS server and the workstation over the network for analysis. The images during transmission are vulnerable due to the intruders, and it is essential to secure the images. Because processing the adulterated images is unethical and can mislead the radio diag...
Medical imaging technology results in more than thousands of images per patient and transmitting them securely over an insecure network is a challenging task still. Maintaining the data integrity against intruder is important. This paper discusses a hybrid method which combines image processing and cryptography to make sure that all images are secu...
Background: Excess bodyweight is the sixth most important risk factor contributing to the overall burden of disease worldwide. Overweight and obesity have been called a global epidemic by the World Health Organization. The epidemic reflects progressive decreases in physical activity, together with substantial dietary changes with passive over-consu...
Quantitative measurement of segmented volume in CT colonography
Cannot disclose any details as per the conference committee rules.
Background: Obesity, a social problem worldwide, is associated with chronic low grade inflammation with increased oxidative stress (OS). Over-expression of oxidative stress damages cellular structures leading to the development of obesity-related complications. Practice of yoga has shown decrease in oxidative stress in diabetes mellitus and other c...
Size and shape analysis is one of the tasks in automated measurement of colon polyps using Computed Tomography Colonography (CTC) images. The research objective was to measure the smaller polyps using image processing techniques. This paper proposes a knowledge-based approach using a semi-automatic method of colon segmentation and morphological ima...
Purpose:
Automated measurement of the size and shape of colon polyps is one of the challenges in Computed tomography colonography (CTC). The objective of this retrospective study was to improve the sensitivity and specificity of smaller polyp measurement in CTC using image processing techniques.
Methods:
A domain knowledge-based method has been...
Obesity is a chronic medical condition results from excess accumulation of fat producing adverse effect on health. A major cause of obesity was found to be improper lifestyle and stress, leading to excessive lipid peroxidation, indicating increased production of reactive oxygen species (ROS), generating oxidative stress. This study was undertaken t...
Computed Tomography Colonography is a medical imaging technique used for finding the polyps of different shapes and sizes in colon. First step in this diagnosis procedure is the effective segmentation of colon in presence of contrast used for tagging fecal and endoluminal fluids. In this paper, an improved colon segmentation method is proposed with...
Electronic cleansing is an image post processing technique in which the tagged colonic content is subtracted from colon using CTC images. There are post processing artefacts, like: 1) soft tissue degradation; 2) incomplete cleansing; 3) misclassification of polyp due to pseudo enhanced voxels; and 4) pseudo soft tissue structures. The objective of...
Computed Tomography Colonography (CTC) is a medical imaging technology used in identifying polyps and colon cancer masses in the large intestine. The technique has evolved a great deal since its invention and has become a routine diagnostic procedure in Western countries due to its non invasiveness and ease of use. The objective of our study was to...
The objective of any software development is to deploy quality product with zero defects by meeting the end user expectations. There are several Software Development Life Cycle methodologies being followed to achieve this and the selection of best methodology is circumstance dependent. With our experience using Lean and Agile principles since last...
With our experience in both the faces of the coin ( academics and corporate ) for many years, we propose few reforms in professional course (engineering education) which can drastically improve the collaboration between academics and corporate world w.r.t knowledge sharing, improving the technical skills, reducing the fear factor of the students ab...
We propose an Image matching technique based on Cumulative Distribution Function, which provides a considerable reduction in the retrieval time. The two novel approaches called bit plane histogram and hierarchical bit plane histogram are discussed. Next, the image matching technique based on Cumulative Distribution Function is explained and a compa...
We propose an Image matching method based n Cumulative Distribution Function (CDF). The CDF f the query and database Images are approximated by piecewise linear models with two parameters, slope and intercept at various grayscale intervals. The equations solving the least squares line fitting algorithm are very simple to form, due to closed form ex...
Questions
Questions (10)
I am interested in 3D volume visualization using direct volume rendering technique with ray casting method. I have been using Microsoft's Volume rendering framework. It runs perfectly but only on NVidia GPU. Do you know any other direct volume rendering framework that runs on AMD Radeon 530 GPU?
Looks there are few frameworks from AMD (as they have published few papers in medical data visualization), but their website details is confusing. Not able to figure it out the exact solution for my problem.
- Manjunath
Hi,
I have been using Microsoft Volume rendering (MSVR) framework for 3D volume rendering using volume ray casting method in my medical image processing application which is developed using WPF of C#.NET (VS 2012 premium). . This framework (MSVR) runs only on NVidia GPU. Now I need a similar framework which should run on AMD Radeon (model 530) GPU. I explored all the possibilities from AMD site, but there is no concrete and straightforward solution. I am very much confused with the AMD's URLs, their SDK and other library support.
Could you please suggest a solution for my requirement? I need a solution wherein I can call the volume rendering APIs directly from my C# code by passing the processed 3D volume of CT/MRI images
- Manjunath
I have developed a prototype software for medical imaging application in C#. I have integrated Microsoft Volume Rendering SDK for direct volume rendering in my prototype. This SDK was developed by MS by targeting NVidia GPU. I have been working with this since last 4 years. Recently I bought a new laptop with AMD Raedon GPU. Now I am porting my prototype to new laptop. Since for volume rendering, I used SDK which was developed for NVidia, now it doesn't work with AMD GPU and I am completely blocked. Could you please assist how to port this volume rendering from NVidia GPU to AMD based processor. Or else, is there any direct volume framework and dll support from AMD in C# so that I can use those libraries for volume rendering in my application by replacing existing framework. Your help is very much appreciated.
I have a research prototype developed in medical image processing (CT/MR) which can be used as a low-cost medical software. I want to publish the elevation of this work from research prototype stage to product stage (its software development life cycle) and about features provided in this software. I want to know which is the best place to publish? Software related journals? or Radiology related? or Core medical image processing journals?
Hi,
Does anyone know the source/database from where I can download CT images (same patient and same anatomy) which are acquired with different kVp levels? I need to analyze the histogram patterns of HU from such images.
- Manjunath
