BIOMEDICAL IMAGE REGISTRATION AND FUSION CONFERENCE


Biomedical Image Registration and Fusion Conference is one of the leading research topics in the international research conference domain. Biomedical Image Registration and Fusion is a conference track under the Biomedical and Biological Engineering Conference which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Biomedical and Biological Engineering.

internationalscience.net provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of (Biomedical and Biological Engineering).

Biomedical Image Registration and Fusion is not just a call for academic papers on the topic; it can also include a conference, event, symposium, scientific meeting, academic, or workshop.

You are welcome to SUBMIT your research paper or manuscript to Biomedical Image Registration and Fusion Conference Track will be held at “Biomedical and Biological Engineering Conference in Paris, France in November 2019” - “Biomedical and Biological Engineering Conference in London, United Kingdom in January 2020” - “Biomedical and Biological Engineering Conference in Tokyo, Japan in March 2020” - “Biomedical and Biological Engineering Conference in Amsterdam, Netherlands in May 2020” - “Biomedical and Biological Engineering Conference in Istanbul, Turkey in June 2020” - “Biomedical and Biological Engineering Conference in Stockholm, Sweden in July 2020” - “Biomedical and Biological Engineering Conference in Zürich, Switzerland in September 2020” - “Biomedical and Biological Engineering Conference in New York, United States in November 2020” .

Biomedical Image Registration and Fusion is also a leading research topic on Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, Elsevier, Scopus, Web of Science.

INTERNATIONAL BIOMEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE

NOVEMBER 21 - 22, 2019
PARIS, FRANCE

  • Abstracts/Full-Text Paper Submission Deadline March 14, 2019
  • Notification of Acceptance/Rejection Deadline March 28, 2019
  • Final Paper and Early Bird Registration Deadline October 21, 2019
  • CONFERENCE CODE: 18BBE11FR
  • One Time Submission Deadline Reminder

INTERNATIONAL BIOMEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE

JANUARY 21 - 22, 2020
LONDON, UNITED KINGDOM

  • Abstracts/Full-Text Paper Submission Deadline March 14, 2019
  • Notification of Acceptance/Rejection Deadline March 28, 2019
  • Final Paper and Early Bird Registration Deadline December 19, 2019
  • CONFERENCE CODE: 20BBE01GB
  • One Time Submission Deadline Reminder

INTERNATIONAL BIOMEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE

MARCH 26 - 27, 2020
TOKYO, JAPAN

  • Abstracts/Full-Text Paper Submission Deadline March 14, 2019
  • Notification of Acceptance/Rejection Deadline March 28, 2019
  • Final Paper and Early Bird Registration Deadline February 27, 2020
  • CONFERENCE CODE: 20BBE03JP
  • One Time Submission Deadline Reminder

INTERNATIONAL BIOMEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE

MAY 13 - 14, 2020
AMSTERDAM, NETHERLANDS

  • Abstracts/Full-Text Paper Submission Deadline March 14, 2019
  • Notification of Acceptance/Rejection Deadline March 28, 2019
  • Final Paper and Early Bird Registration Deadline April 14, 2020
  • CONFERENCE CODE: 20BBE05NL
  • One Time Submission Deadline Reminder

INTERNATIONAL BIOMEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE

JUNE 25 - 26, 2020
ISTANBUL, TURKEY

  • Abstracts/Full-Text Paper Submission Deadline March 14, 2019
  • Notification of Acceptance/Rejection Deadline March 28, 2019
  • Final Paper and Early Bird Registration Deadline May 26, 2020
  • CONFERENCE CODE: 20BBE06TR
  • One Time Submission Deadline Reminder

INTERNATIONAL BIOMEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE

JULY 14 - 15, 2020
STOCKHOLM, SWEDEN

  • Abstracts/Full-Text Paper Submission Deadline March 14, 2019
  • Notification of Acceptance/Rejection Deadline March 28, 2019
  • Final Paper and Early Bird Registration Deadline June 11, 2020
  • CONFERENCE CODE: 20BBE07SE
  • One Time Submission Deadline Reminder

INTERNATIONAL BIOMEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE

SEPTEMBER 15 - 16, 2020
ZÜRICH, SWITZERLAND

  • Abstracts/Full-Text Paper Submission Deadline March 14, 2019
  • Notification of Acceptance/Rejection Deadline March 28, 2019
  • Final Paper and Early Bird Registration Deadline August 13, 2020
  • CONFERENCE CODE: 20BBE09CH
  • One Time Submission Deadline Reminder

INTERNATIONAL BIOMEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE

NOVEMBER 05 - 06, 2020
NEW YORK, UNITED STATES

  • Abstracts/Full-Text Paper Submission Deadline March 14, 2019
  • Notification of Acceptance/Rejection Deadline March 28, 2019
  • Final Paper and Early Bird Registration Deadline October 05, 2020
  • CONFERENCE CODE: 20BBE11US
  • One Time Submission Deadline Reminder

Biomedical and Biological Engineering Conference Call For Papers are listed below:

Previously Published Papers on "Biomedical Image Registration and Fusion Conference"

  • Ethno-Botanical Diversity and Conservation Status of Medicinal Flora at High Terrains of Garhwal (Uttarakhand) Himalaya, India: A Case Study in Context to Multifarious Tourism Growth and Peri-Urban Encroachments
    Authors: Aravind Kumar, Keywords: Biodiversity conservation, ethno-botany, Garhwal (Uttarakhand) Himalaya, peri-urban encroachment, pilgrimage and tourism. DOI:10.5281/zenodo.1130253 Abstract: The high terrains of Garhwal (Uttarakhand) Himalaya are the niches of a number of rare and endemic plant species of great therapeutic importance. However, the wild flora of the area is still under a constant threat due to rapid upsurge in human interferences, especially through multifarious tourism growth and peri-urban encroachments. After getting the status of a ‘Special State’ of the country since its inception in the year 2000, this newly borne State led to very rapid infrastructural growth and development. Consequently, its townships started expanding in an unmanaged way grabbing nearby agricultural lands and forest areas into peri-urban landscapes. Simultaneously, a boom in tourism and pilgrimage in the state and the infrastructural facilities raised by the government for tourists/pilgrims are destroying its biodiversity. Field survey revealed 242 plant species of therapeutic significance naturally growing in the area and being utilized by local inhabitants as traditional medicines. On conservation scale, 6 species (2.2%) were identified as critically endangered, 19 species (7.1%) as the endangered ones, 8 species (3.0%) under rare category, 17 species (6.4%) as threatened and 14 species (5.2%) as vulnerable. The Government of India has brought mega-biodiversity hot spots of the state under Biosphere Reserve, National Parks, etc. restricting all kinds of human interferences; however, the two most sacred shrines of Hindus and Sikhs viz. Shri Badrinath and Shri Hemkunt Sahib, and two great touristic attractions viz. Valley of Flowers and Auli-Joshimath Skiing Track oblige the government to maintain equilibrium between entries of visitors vis-à-vis biodiversity conservation in high terrains of Uttarakhand Himalaya.
  • Experimental Correlation for Erythrocyte Aggregation Rate in Population Balance Modeling
    Authors: Erfan Niazi, Marianne Fenech, Keywords: Red blood cell, Rouleaux, microfluidics, image processing, population balance modeling. DOI:10.5281/zenodo.1129964 Abstract: Red Blood Cells (RBCs) or erythrocytes tend to form chain-like aggregates under low shear rate called rouleaux. This is a reversible process and rouleaux disaggregate in high shear rates. Therefore, RBCs aggregation occurs in the microcirculation where low shear rates are present but does not occur under normal physiological conditions in large arteries. Numerical modeling of RBCs interactions is fundamental in analytical models of a blood flow in microcirculation. Population Balance Modeling (PBM) is particularly useful for studying problems where particles agglomerate and break in a two phase flow systems to find flow characteristics. In this method, the elementary particles lose their individual identity due to continuous destructions and recreations by break-up and agglomeration. The aim of this study is to find RBCs aggregation in a dynamic situation. Simplified PBM was used previously to find the aggregation rate on a static observation of the RBCs aggregation in a drop of blood under the microscope. To find aggregation rate in a dynamic situation we propose an experimental set up testing RBCs sedimentation. In this test, RBCs interact and aggregate to form rouleaux. In this configuration, disaggregation can be neglected due to low shear stress. A high-speed camera is used to acquire video-microscopic pictures of the process. The sizes of the aggregates and velocity of sedimentation are extracted using an image processing techniques. Based on the data collection from 5 healthy human blood samples, the aggregation rate was estimated as 2.7x103(±0.3 x103) 1/s.
  • Landcover Mapping Using Lidar Data and Aerial Image and Soil Fertility Degradation Assessment for Rice Production Area in Quezon, Nueva Ecija, Philippines
    Authors: Eliza. E. Camaso, Guiller. B. Damian, Miguelito. F. Isip, Ronaldo T. Alberto, Keywords: Aerial image, land-cover, LiDAR, soil fertility degradation. DOI:10.5281/zenodo.1131886 Abstract: Land-cover maps were important for many scientific, ecological and land management purposes and during the last decades, rapid decrease of soil fertility was observed to be due to land use practices such as rice cultivation. High-precision land-cover maps are not yet available in the area which is important in an economy management. To assure   accurate mapping of land cover to provide information, remote sensing is a very suitable tool to carry out this task and automatic land use and cover detection. The study did not only provide high precision land cover maps but it also provides estimates of rice production area that had undergone chemical degradation due to fertility decline. Land-cover were delineated and classified into pre-defined classes to achieve proper detection features. After generation of Land-cover map, of high intensity of rice cultivation, soil fertility degradation assessment in rice production area due to fertility decline was created to assess the impact of soils used in agricultural production. Using Simple spatial analysis functions and ArcGIS, the Land-cover map of Municipality of Quezon in Nueva Ecija, Philippines was overlaid to the fertility decline maps from Land Degradation Assessment Philippines- Bureau of Soils and Water Management (LADA-Philippines-BSWM) to determine the area of rice crops that were most likely where nitrogen, phosphorus, zinc and sulfur deficiencies were induced by high dosage of urea and imbalance N:P fertilization. The result found out that 80.00 % of fallow and 99.81% of rice production area has high soil fertility decline.
  • Image-Based (RBG) Technique for Estimating Phosphorus Levels of Crops
    Authors: M. M. Ali, Ahmed Al-Ani, Derek Eamus, Daniel K. Y. Tan, Keywords: Image-based techniques, leaf area, leaf P contents, linear discriminant analysis. DOI:10.5281/zenodo.1109932 Abstract: In this glasshouse study, we developed a new imagebased non-destructive technique for detecting leaf P status of different crops such as cotton, tomato and lettuce. The plants were grown on a nutrient solution containing different P concentrations, e.g. 0%, 50% and 100% of recommended P concentration (P0 = no P, L; P1 = 2.5 mL 10 L-1 of P and P2 = 5 mL 10 L-1 of P). After 7 weeks of treatment, the plants were harvested and data on leaf P contents were collected using the standard destructive laboratory method and at the same time leaf images were collected by a handheld crop image sensor. We calculated leaf area, leaf perimeter and RGB (red, green and blue) values of these images. These data were further used in linear discriminant analysis (LDA) to estimate leaf P contents, which successfully classified these plants on the basis of leaf P contents. The data indicated that P deficiency in crop plants can be predicted using leaf image and morphological data. Our proposed nondestructive imaging method is precise in estimating P requirements of different crop species.
  • A New Method to Enhance Contrast of Electron Micrograph of Rat Tissues Sections
    Authors: Lise P. Labéjof, Raiza S. P. Bizerra, Galileu B. Costa, Thaísa B. dos Santos, Keywords: Image quality, Microscopy research, Staining technique, Ultrathin section. DOI:10.5281/zenodo.1108374 Abstract: This report presents an alternative technique of application of contrast agent in vivo, i.e. before sampling. By this new method the electron micrograph of tissue sections have an acceptable contrast compared to other methods and present no artifact of precipitation on sections. Another advantage is that a small amount of contrast is needed to get a good result given that most of them are expensive and extremely toxic.
  • Identification of Healthy and BSR-Infected Oil Palm Trees Using Color Indices
    Authors: Siti Khairunniza-Bejo, Yusnida Yusoff, Nik Salwani Nik Yusoff, Idris Abu Seman, Mohamad Izzuddin Anuar, Keywords: Oil palm, image processing, disease, leaves. DOI:10.5281/zenodo.1107585 Abstract: Most of the oil palm plantations have been threatened by Basal Stem Rot (BSR) disease which causes serious economic impact. This study was conducted to identify the healthy and BSRinfected oil palm tree using thirteen color indices. Multispectral and thermal camera was used to capture 216 images of the leaves taken from frond number 1, 9 and 17. Indices of normalized difference vegetation index (NDVI), red (R), green (G), blue (B), near infrared (NIR), green – blue (GB), green/blue (G/B), green – red (GR), green/red (G/R), hue (H), saturation (S), intensity (I) and thermal index (T) were used. From this study, it can be concluded that G index taken from frond number 9 is the best index to differentiate between the healthy and BSR-infected oil palm trees. It not only gave high value of correlation coefficient (R=-0.962), but also high value of separation between healthy and BSR-infected oil palm tree. Furthermore, power and S model developed using G index gave the highest R2 value which is 0.985.
  • On a Negative Relation between Bacterial Taxis and Turing Pattern Formation
    Authors: A. Elragig, S. Townley, H. Dreiwi, Keywords: Chemotaxis-diffusion driven instability, bacterial chemotaxis. DOI:10.5281/zenodo.1094283 Abstract: In this paper we introduce a bacteria-leukocyte model with bacteria chemotaxsis. We assume that bacteria develop a tactic defence mechanism as a response to Leukocyte phagocytosis. We explore the effect of this tactic motion on Turing space in two parameter spaces. A fine tuning of bacterial chemotaxis shows a significant effect on developing a non-uniform steady state.
  • Odor Discrimination Using Neural Decoding of Olfactory Bulbs in Rats
    Authors: K.-J. You, H.J. Lee, Y. Lang, C. Im, C.S. Koh, H.-C. Shin, Keywords: biomedical signal processing, neural engineering, olfactory,neural decoding, BMI DOI:10.5281/zenodo.1084131 Abstract: This paper presents a novel method for inferring the odor based on neural activities observed from rats- main olfactory bulbs. Multi-channel extra-cellular single unit recordings were done by micro-wire electrodes (tungsten, 50μm, 32 channels) implanted in the mitral/tufted cell layers of the main olfactory bulb of anesthetized rats to obtain neural responses to various odors. Neural response as a key feature was measured by substraction of neural firing rate before stimulus from after. For odor inference, we have developed a decoding method based on the maximum likelihood (ML) estimation. The results have shown that the average decoding accuracy is about 100.0%, 96.0%, 84.0%, and 100.0% with four rats, respectively. This work has profound implications for a novel brain-machine interface system for odor inference.
  • Study of Remote Sensing and Satellite Images Ability in Preparing Agricultural Land Use Map (ALUM)
    Authors: Ali Gholami, Keywords: Land use map, Aghche Region, Erdas Imagine, satellite images DOI:10.5281/zenodo.1082213 Abstract: In this research the Preparation of Land use map of scanner LISS III satellite data, belonging to the IRS in the Aghche region in Isfahan province, is studied carefully. For this purpose, the IRS satellite images of August 2008 and various land preparation uses in region including rangelands, irrigation farming, dry farming, gardens and urban areas were separated and identified. Therefore, the GPS and Erdas Imaging software were used and three methods of Maximum Likelihood, Mahalanobis Distance and Minimum Distance were analyzed. In each of these methods, matrix error and Kappa index were calculated and accuracy of each method, based on percentages: 53.13, 56.64 and 48.44, were obtained respectively. Considering the low accuracy of these methods in separation of land preparation use, the visual interpretation of the map was used. Finally, regional visits of 150 points were noted at random and no error was observed. It shows that the map prepared by visual interpretation is in high accuracy. Although the probable errors due to visual interpretation and geometric correction might happen but the desired accuracy of the map which is more than 85 percent is reliable.
  • A Novel Cytokine Derived Fusion Tag for Over- Expression of Heterologous Proteins in E. coli
    Authors: S. Banerjee, A. Apte Deshpande, N. Mandi, S. Padmanabhan, Keywords: fusion tag, bacterial expression, rare codons, human GMCSF DOI:10.5281/zenodo.1078231 Abstract: We report a novel fusion tag for expressing recombinant proteins in E. coli. The fusion tag is the C-terminus part of the human GMCSF gene comprising 45 amino acids, which aid in over expression of otherwise non expressible genes. Expression of hIFN a2b with this fusion tag also escapes the requirement of rare codons for expression. This is also a first report of a small fusion tag of human origin having affinity to heparin sepharose column facilitating the purification of fusion protein.