{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:14:46Z","timestamp":1760242486521,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2017,7,24]],"date-time":"2017-07-24T00:00:00Z","timestamp":1500854400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Sciences"],"abstract":"<jats:p>Fast volumetric cardiac imaging requires reducing the number of transmit events within a single volume. One way of achieving this is by limiting the field of view (FOV) of the recording to the myocardium when investigating cardiac mechanics. Although fully automatic solutions towards myocardial segmentation exist, translating that information in a fast ultrasound scan sequence is not trivial. In particular, multi-line transmit (MLT) scan sequences were investigated given their proven capability to increase frame rate (FR) while preserving image quality. The aim of this study was therefore to develop a methodology to automatically identify the anatomically relevant conically shaped FOV, and to translate this to the best associated MLT sequence. This approach was tested on 27 datasets leading to a conical scan with a mean opening angle of 19.7\u00b0 \u00b1 8.5\u00b0, while the mean \u201cthickness\u201d of the cone was 19\u00b0 \u00b1 3.4\u00b0, resulting in a frame rate gain of about 2. Then, to subsequently scan this conical volume, several MLT setups were tested in silico. The method of choice was a 10MLT sequence as it resulted in the highest frame rate gain while maintaining an acceptable cross-talk level. When combining this MLT scan sequence with at least four parallel receive beams, a total frame rate gain with a factor of approximately 80 could be obtained. As such, anatomical scan sequences can increase frame rate significantly while maintaining information of the relevant structures for functional myocardial imaging.<\/jats:p>","DOI":"10.3390\/app7070752","type":"journal-article","created":{"date-parts":[[2017,7,24]],"date-time":"2017-07-24T10:04:06Z","timestamp":1500890646000},"page":"752","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automatic Definition of an Anatomic Field of View for Volumetric Cardiac Motion Estimation at High Temporal Resolution"],"prefix":"10.3390","volume":"7","author":[{"given":"Alejandra","family":"Ortega","sequence":"first","affiliation":[{"name":"Department of Cardiovascular Sciences, KU Leuven, 3000 Leuven, Belgium"}]},{"given":"Jo\u00e3o","family":"Pedrosa","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Sciences, KU Leuven, 3000 Leuven, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7420-3220","authenticated-orcid":false,"given":"Brecht","family":"Heyde","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Sciences, KU Leuven, 3000 Leuven, Belgium"}]},{"given":"Ling","family":"Tong","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Sciences, KU Leuven, 3000 Leuven, Belgium"},{"name":"Department of Biomedical Engineering, Tsinghua University, 100084 Beijing, China"}]},{"given":"Jan","family":"D\u2019hooge","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Sciences, KU Leuven, 3000 Leuven, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2017,7,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1093\/ehjci\/jev014","article-title":"Recommendations for cardiac chamber quantification by echocardiography in adults: An update from the American society of echocardiography and the European association of cardiovascular imaging","volume":"16","author":"Lang","year":"2015","journal-title":"Eur. Heart J. Cardiovasc. Imaging"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.echo.2012.10.005","article-title":"Current state of three-dimensional myocardial strain estimation using echocardiography","volume":"26","author":"Jasaityte","year":"2013","journal-title":"J. Am. Soc. Echocardiogr."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1109\/58.985712","article-title":"Two-dimensional ultrasonic strain rate measurement of the human heart in vivo","volume":"49","author":"Konofagou","year":"2002","journal-title":"Ultrason. Ferroelectr. Freq. Control. IEEE Trans."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1016\/S0301-5629(01)00341-6","article-title":"Myocardial rapid velocity distribution","volume":"27","author":"Kanai","year":"2001","journal-title":"Ultrasound Med. Biol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1016\/j.ultrasmedbio.2007.02.003","article-title":"ECG-gated, mechanical and electromechanical wave imaging of cardiovascular tissues in vivo","volume":"33","author":"Pernot","year":"2007","journal-title":"Ultrasound Med. Biol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1121\/1.390734","article-title":"Explososcan: A parallel processing technique for high speed ultrasound imaging with linear phased arrays","volume":"75","author":"Shattuck","year":"1984","journal-title":"J. Acoust. Soc. Am."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1016\/S0301-5629(98)00110-0","article-title":"Shear Wave Elasticity Imaging: A new ultrasonic technology of medical diagnostic","volume":"24","author":"Sarvazyan","year":"1998","journal-title":"Ultrasound Med. Biol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"L1","DOI":"10.1088\/0031-9155\/59\/19\/L1","article-title":"3D ultrafast ultrasound imaging in vivo","volume":"59","author":"Provost","year":"2014","journal-title":"Phys. Med. Biol."},{"key":"ref_9","unstructured":"Walker, W.F., and Trahey, G.E. (2004, January 23\u201327). A fundamental limit on the performance of correlation based phase correction and flow estimation techniques. Proceedings of the IEEE Ultrasonics Symposium, Montr\u00e9al, QC, Canada."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2682","DOI":"10.1109\/TUFFC.2013.2868","article-title":"Multi-Line Transmission in Medical Imaging Using the Second-Harmonic Signal","volume":"60","author":"Prieur","year":"2013","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1109\/TUFFC.2013.2753","article-title":"Multi-transmit beamforming for fast cardiac imaging-a simulation study","volume":"60","author":"Tong","year":"2013","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2439","DOI":"10.1109\/TUFFC.2012.2476","article-title":"Parallel transmit beamforming using orthogonal frequency division multiplexing applied to harmonic imaging\u2014A feasibility study","volume":"59","author":"Demi","year":"2012","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1109\/TUFFC.2014.006599","article-title":"In Vitro and in Vivo tissue harmonic images obtained with parallel transmit beamforming by means of orthogonal frequency division multiplexing","volume":"62","author":"Demi","year":"2015","journal-title":"IEEE Ultrason. Symp. Proc."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1109\/TUFFC.2007.241","article-title":"Parallel Beamforming Using Synthetic Transmit Beams","volume":"54","author":"Hergum","year":"2007","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1320","DOI":"10.1109\/TUFFC.2015.006996","article-title":"Acoustic Output of Multi-Line Transmit Beamforming for Fast Cardiac Imaging","volume":"62","author":"Santos","year":"2015","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control"},{"key":"ref_16","first-page":"1456","article-title":"Fast three-dimensional ultrasound cardiac imaging using multi-transmit beamforming: A simulation study","volume":"60","author":"Tong","year":"2013","journal-title":"IEEE Ultrason. Symp. Proc."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TUFFC.2016.2614652","article-title":"A comparison of the performance of different multi-line transmit setups for fast volumetric cardiac ultrasound","volume":"63","author":"Ortega","year":"2016","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1109\/TIP.2011.2161484","article-title":"B-spline explicit active surfaces: An efficient framework for real-time 3-D region-based segmentation","volume":"21","author":"Barbosa","year":"2012","journal-title":"IEEE Trans. Image Process."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1109\/TUFFC.2016.2638080","article-title":"Left Ventricular Myocardial Segmentation in 3-D Ultrasound recordings: Effect of Different Endocardial and Epicardial Coupling Strategies","volume":"64","author":"Pedrosa","year":"2017","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Bruyneel, T., Ortega, A., Tong, L., and D\u2019hooge, J. (2013, January 21\u201325). A GPU-based implementation of the spatial impulse response method for fast calculation of linear sound fields and pulse-echo responses of array transducers. Proceedings of IEEE Ultrasonic Symposium, Prague, Czech Republic.","DOI":"10.1109\/ULTSYM.2013.0095"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"329","DOI":"10.3109\/14017431.2013.857039","article-title":"Determining optimal noninvasive parameters for the prediction of left ventricular remodeling in chronic ischemic patients","volume":"47","author":"Rademakers","year":"2013","journal-title":"J. Scand. Cardiovasc."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1109\/TMI.2014.2302312","article-title":"Multi-transmit beamforming for fast cardiac imaging\u2014Experimental validation and in vivo application","volume":"33","author":"Tong","year":"2014","journal-title":"IEEE Trans. Med. Imag."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Ramalli, A., Dallai, A., Boni, E., Bassi, L., Meacci, V., Giovannetti, M., Tong, L., D\u2019hooge, J., and Tortoli, P. (2016, January 18\u201321). Multi transmit beams for fast cardiac imaging towards clinical routine. Proceedings of the IEEE International Ultrasonics Symposium (IUS), Tours, France.","DOI":"10.1109\/ULTSYM.2016.7728593"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.ultrasmedbio.2012.08.008","article-title":"Fast and fully automatic 3D echocardiographic segmentation using B-spline explicit active surfaces: Feasibility study and validation in a clinical setting","volume":"39","author":"Barbosa","year":"2013","journal-title":"Ultrasound Med Biol."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Orderud, F., and Rabben, S.I. (2008, January 23\u201328). Real-time 3D segmentation of the left ventricle using deformable subdivision surfaces. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, USA.","DOI":"10.1109\/CVPR.2008.4587442"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Jurie, F., and Dhome, M. (2002, January 2\u20135). Real Time Robust Template Matching. Proceedings of the 13th British Machine Vision Conference, University of Cardiff, Cardiff, Wales.","DOI":"10.5244\/C.16.10"},{"key":"ref_27","unstructured":"Savord, B.J. (2000). Beamforming Methods and Apparatus for Three-Dimensional Ultrasound Imaging Using Two-Dimensional Transducer Array. (6013032A), U.S. Patent."},{"key":"ref_28","first-page":"2114","article-title":"Diverging Wave Volumetric Imaging Using Sub-Aperture Beamforming","volume":"63","author":"Santos","year":"2016","journal-title":"IEEE Trans. Med. Imag."}],"container-title":["Applied Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-3417\/7\/7\/752\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:43:49Z","timestamp":1760208229000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-3417\/7\/7\/752"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,24]]},"references-count":28,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2017,7]]}},"alternative-id":["app7070752"],"URL":"https:\/\/doi.org\/10.3390\/app7070752","relation":{},"ISSN":["2076-3417"],"issn-type":[{"type":"electronic","value":"2076-3417"}],"subject":[],"published":{"date-parts":[[2017,7,24]]}}}