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Oelze, Michael L. Agarwal, Anil 2019-08-23T19:55:47Z 2019-08-23T19:55:47Z 2019-04-18 2019-05 In biomedical ultrasound imaging, many attempts have been made to improve the lateral resolution through various adaptive and non-adaptive techniques. While each technique has its advantages and disadvantages, there are some challenges common to all methods. In particular, improvements in lateral resolution are often accompanied by a reduction in contrast, and while the -6 dB beamwidth calculated from the point-spread function may be much smaller than that of conventional techniques, these methods often do not perform as well on the Sparrow test for resolution. Another challenge presented by high-resolution techniques is related to the limited lateral sampling of ultrasound data. Conventional techniques for upsampling and interpolating the data have demonstrated limited success. This study focuses on evaluating one particular super-resolution method, null subtraction imaging, under these conditions while also demonstrating methods to overcome the challenges previously encountered with this method. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-08-22 without embargo terms The student, Anil Agarwal, accepted the attached license on 2019-04-18 at 14:42. The student, Anil Agarwal, submitted this Thesis for approval on 2019-04-18 at 14:48. This Thesis was approved for publication on 2019-04-18 at 17:43. DSpace SAF Submission Ingestion Package generated from Vireo submission #13752 on 2019-08-22 at 14:44:51 Made available in DSpace on 2019-08-23T19:55:47Z (GMT). No. of bitstreams: 2 AGARWAL-THESIS-2019.pdf: 21215338 bytes, checksum: 094589c28374617274839165b4261446 (MD5) LICENSE.txt: 4209 bytes, checksum: 9c16a4da140bdc572e66f5fe6ccec460 (MD5) Previous issue date: 2019-04-18 application/pdf http://hdl.handle.net/2142/104871 en Copyright 2019 Anil Agarwal ultrasound imaging beamforming apodization null subtraction imaging interpolation Evaluation of null subtraction imaging and interpolation techniques for ultrasound B-mode text text Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.