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We present a hybrid multilevel reconstruction scheme by combining the ability of sparse regularization with the advantage of adaptive finite element method. In view of the characteristics of different discretization levels, two different inversion algorithms are employed on the initial coarse mesh and the succeeding ones to strike a balance between stability and efficiency. Numerical experiment results with a digital mouse model demonstrate that the proposed scheme can accurately localize and quantify source distribution while maintaining reconstruction stability and computational economy. The effectiveness of this hybrid reconstruction scheme is further confirmed with<jats:italic>in vivo<\/jats:italic>experiments.<\/jats:p>","DOI":"10.1155\/2013\/548491","type":"journal-article","created":{"date-parts":[[2013,3,4]],"date-time":"2013-03-04T13:44:02Z","timestamp":1362404642000},"page":"1-12","source":"Crossref","is-referenced-by-count":1,"title":["Hybrid Multilevel Sparse Reconstruction for a Whole Domain Bioluminescence Tomography Using Adaptive Finite Element"],"prefix":"10.1155","volume":"2013","author":[{"given":"Jingjing","family":"Yu","sequence":"first","affiliation":[{"name":"School of Physics and Information Technology, Shaanxi Normal University, Xi\u2019an, Shanxi 710062, China"}]},{"given":"Xiaowei","family":"He","sequence":"additional","affiliation":[{"name":"School of Information Sciences and Technology, Northwest University, Xi\u2019an, Shanxi 710069, China"}]},{"given":"Guohua","family":"Geng","sequence":"additional","affiliation":[{"name":"School of Information Sciences and Technology, Northwest University, Xi\u2019an, Shanxi 710069, China"}]},{"given":"Fang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi\u2019an, Shanxi 710071, China"},{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xi\u2019an, Shanxi 710071, China"}]},{"given":"L. 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