{"title":"Genomic Spring-Synteny Visualization with IMAS","authors":"C. Shaw","doi":"10.1109/MEDIVIS.2008.17","DOIUrl":"https://doi.org/10.1109/MEDIVIS.2008.17","url":null,"abstract":"This paper presents a synteny visualization and analysis tool developed in connection with IMAS - the Interactive Multigenomic Analysis System. This visual analysis tool enables biologists to analyze the relationships among genomes of closely related organisms in terms of the locations of genes and clusters of genes. A biologist starts IMAS with the DNA sequence, uses BLAST to find similar genes in related sequences, and uses these similarity linkages to create an enhanced node-link diagram of syntenic sequences. We refer to this as Spring Synteny visualization, which is aimed at helping a biologist discover similar gene ordering relationships across species. The paper describes the techniques that are used to support synteny visualization, in terms of computation, visual design, and interaction design.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"11 2 1","pages":"3-8"},"PeriodicalIF":1.6,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80395845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Medical Image Segmentation Using New Hybrid Level-Set Method","authors":"Yan Zhang, B. Matuszewski, L. Shark, C. Moore","doi":"10.1109/MEDIVIS.2008.12","DOIUrl":"https://doi.org/10.1109/MEDIVIS.2008.12","url":null,"abstract":"In this paper, a new hybrid medical image segmentation method in the level-set framework is proposed. The method uses both the objectpsilas boundary and region information to achieve robust and accurate segmentation results. The boundary information can help to detect the precise location of the target object and the region information can help to prevent the boundary leakage problem. Experimental results on a synthetic image as well as real 2D and 3D medical images are also shown in the paper with the emphasis on the comparisons between the new hybrid method and the Chan-Vese method.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"108 1","pages":"71-76"},"PeriodicalIF":1.6,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89793049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}