Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of
A noise adaptive Cusum-based algorithm for determining the arrival times of contrast at each spatial location in a 2D time sequence of angiographic images is presented. We employ a new group-wise registration algorithm to remove the effect of patient motions during the acquisition process. By using...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/58955 https://orcid.org/0000-0002-8619-1295 |
| _version_ | 1826190432967589888 |
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| author | Copeland, Andrew D. Mangoubi, Rami S. Desai, Mukund N. Mitter, Sanjoy K. Malek, Adel M. |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Copeland, Andrew D. Mangoubi, Rami S. Desai, Mukund N. Mitter, Sanjoy K. Malek, Adel M. |
| author_sort | Copeland, Andrew D. |
| collection | MIT |
| description | A noise adaptive Cusum-based algorithm for determining the arrival times of contrast at each spatial location in a 2D time sequence of angiographic images is presented. We employ a new group-wise registration algorithm to remove the effect of patient motions during the acquisition process. By using the registered image the proposed arrival time provides accurate results without relying on a priori knowledge of the shape of the time series at each location or even on the time series at each location having the same shape under translation. |
| first_indexed | 2024-09-23T08:40:11Z |
| format | Article |
| id | mit-1721.1/58955 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:40:11Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/589552022-09-23T13:44:02Z Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of Copeland, Andrew D. Mangoubi, Rami S. Desai, Mukund N. Mitter, Sanjoy K. Malek, Adel M. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Mitter, Sanjoy K. Copeland, Andrew D. Mitter, Sanjoy K. A noise adaptive Cusum-based algorithm for determining the arrival times of contrast at each spatial location in a 2D time sequence of angiographic images is presented. We employ a new group-wise registration algorithm to remove the effect of patient motions during the acquisition process. By using the registered image the proposed arrival time provides accurate results without relying on a priori knowledge of the shape of the time series at each location or even on the time series at each location having the same shape under translation. Charles Stark Draper Laboratory 2010-10-07T20:41:22Z 2010-10-07T20:41:22Z 2010-05 2009-10 Article http://purl.org/eprint/type/JournalArticle 978-1-4244-5146-3 1550-5219 INSPEC Accession Number: 11306977 http://hdl.handle.net/1721.1/58955 Copeland, A. et al. “Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of cerebrovascular surgery.” Applied Imagery Pattern Recognition Workshop (AIPRW), 2009 IEEE. 2009. 1-4. © Copyright 2009 IEEE https://orcid.org/0000-0002-8619-1295 en_US http://dx.doi.org/10.1109/AIPR.2009.5466313 Proceedings of the 41st Applied Imagery Recognition Workshop, 2009 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Copeland, Andrew D. Mangoubi, Rami S. Desai, Mukund N. Mitter, Sanjoy K. Malek, Adel M. Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of |
| title | Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of |
| title_full | Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of |
| title_fullStr | Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of |
| title_full_unstemmed | Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of |
| title_short | Enhancing the surgeons reality : Smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of |
| title_sort | enhancing the surgeons reality smart visualization of bolus time of arrival and blood flow anomalies from time lapse series for safety and speed of |
| url | http://hdl.handle.net/1721.1/58955 https://orcid.org/0000-0002-8619-1295 |
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