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Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry).

Pathology, research and practice

Pesce Delfino V, Lettini T, Vacca E, Potente F, Ragone P, Ricco R.
PMID: 1409094
Pathol Res Pract. 1992 Jun;188(4):587-92. doi: 10.1016/s0344-0338(11)80061-0.

The S.A.M. (Shape Analytical Morphometry) software system and its related work-station give a generalized and easy-to-handle tool to face a classic and intriguing problem in biomedical morphological diagnosis. What is the shape of an object in a microscopic image?...

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Pesce Delfino V, Lettini T, Vacca E, et al. Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry). Pathol Res Pract. 1992;188(4):587-92doi: 10.1016/s0344-0338(11)80061-0.
Pesce Delfino, V., Lettini, T., Vacca, E., Potente, F., Ragone, P., & Ricco, R. (1992). Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry). Pathology, research and practice, 188(4), 587-92. https://doi.org/10.1016/s0344-0338(11)80061-0
Pesce Delfino, V, et al. "Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry)." Pathology, research and practice vol. 188,4 (1992): 587-92. doi: https://doi.org/10.1016/s0344-0338(11)80061-0
Pesce Delfino V, Lettini T, Vacca E, Potente F, Ragone P, Ricco R. Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry). Pathol Res Pract. 1992 Jun;188(4):587-92. doi: 10.1016/s0344-0338(11)80061-0. PMID: 1409094.
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Three-dimensional display in nuclear medicine and radiology.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine

Wallis JW, Miller TR.
PMID: 2005466
J Nucl Med. 1991 Mar;32(3):534-46.
Free Article

As three-dimensional displays become more common in nuclear medicine and radiology, it is important to know when they should be employed. Selection of the appropriate three-dimensional rendering method requires an understanding of the techniques and both their advantages and...

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Wallis JW, Miller TR. Three-dimensional display in nuclear medicine and radiology. J Nucl Med. 1991;32(3):534-46
Wallis, J. W., & Miller, T. R. (1991). Three-dimensional display in nuclear medicine and radiology. Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 32(3), 534-46.
Wallis, J W, and Miller, T R. "Three-dimensional display in nuclear medicine and radiology." Journal of nuclear medicine : official publication, Society of Nuclear Medicine vol. 32,3 (1991): 534-46.
Wallis JW, Miller TR. Three-dimensional display in nuclear medicine and radiology. J Nucl Med. 1991 Mar;32(3):534-46. PMID: 2005466.
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The Future of Imaging.

Journal of clinical orthodontics : JCO

Boyd RL.
PMID: 26267544
J Clin Orthod. 2015 Jul;49(7):425-6, 428.

No abstract available.

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Boyd RL. The Future of Imaging. J Clin Orthod. 2015;49(7):425-6, 428
Boyd, R. L. (2015). The Future of Imaging. Journal of clinical orthodontics : JCO, 49(7), 425-6, 428.
Boyd, Robert L. "The Future of Imaging." Journal of clinical orthodontics : JCO vol. 49,7 (2015): 425-6, 428.
Boyd RL. The Future of Imaging. J Clin Orthod. 2015 Jul;49(7):425-6, 428. PMID: 26267544.
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Deformation-induced speckle-pattern evolution and feasibility of correlational speckle tracking in optical coherence elastography.

Journal of biomedical optics

Zaitsev VY, Matveyev AL, Matveev LA, Gelikonov GV, Gelikonov VM, Vitkin A.
PMID: 26172612
J Biomed Opt. 2015 Jul;20(7):75006. doi: 10.1117/1.JBO.20.7.075006.

Feasibility of speckle tracking in optical coherence tomography (OCT) based on digital image correlation (DIC) is discussed in the context of elastography problems. Specifics of applying DIC methods to OCT, compared to processing of photographic images in mechanical engineering...

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Zaitsev VY, Matveyev AL, Matveev LA, et al. Deformation-induced speckle-pattern evolution and feasibility of correlational speckle tracking in optical coherence elastography. J Biomed Opt. 2015;20(7):75006doi: 10.1117/1.JBO.20.7.075006.
Zaitsev, V. Y., Matveyev, A. L., Matveev, L. A., Gelikonov, G. V., Gelikonov, V. M., & Vitkin, A. (2015). Deformation-induced speckle-pattern evolution and feasibility of correlational speckle tracking in optical coherence elastography. Journal of biomedical optics, 20(7), 75006. https://doi.org/10.1117/1.JBO.20.7.075006
Zaitsev, Vladimir Y, et al. "Deformation-induced speckle-pattern evolution and feasibility of correlational speckle tracking in optical coherence elastography." Journal of biomedical optics vol. 20,7 (2015): 75006. doi: https://doi.org/10.1117/1.JBO.20.7.075006
Zaitsev VY, Matveyev AL, Matveev LA, Gelikonov GV, Gelikonov VM, Vitkin A. Deformation-induced speckle-pattern evolution and feasibility of correlational speckle tracking in optical coherence elastography. J Biomed Opt. 2015 Jul;20(7):75006. doi: 10.1117/1.JBO.20.7.075006. PMID: 26172612.
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Using the Volta phase plate with defocus for cryo-EM single particle analysis.

eLife

Danev R, Tegunov D, Baumeister W.
PMID: 28109158
Elife. 2017 Jan 21;6. doi: 10.7554/eLife.23006.

Previously, we reported an in-focus data acquisition method for cryo-EM single-particle analysis with the Volta phase plate (Danev and Baumeister, 2016). Here, we extend the technique to include a small amount of defocus which enables contrast transfer function measurement...

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Danev R, Tegunov D, Baumeister W. Using the Volta phase plate with defocus for cryo-EM single particle analysis. Elife. 2017;6doi: 10.7554/eLife.23006.
Danev, R., Tegunov, D., & Baumeister, W. (2017). Using the Volta phase plate with defocus for cryo-EM single particle analysis. eLife, 6. https://doi.org/10.7554/eLife.23006
Danev, Radostin, et al. "Using the Volta phase plate with defocus for cryo-EM single particle analysis." eLife vol. 6 (2017). doi: https://doi.org/10.7554/eLife.23006
Danev R, Tegunov D, Baumeister W. Using the Volta phase plate with defocus for cryo-EM single particle analysis. Elife. 2017 Jan 21;6. doi: 10.7554/eLife.23006. PMID: 28109158; PMCID: PMC5279940.
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Quantitative statistical methods for image quality assessment.

Theranostics

Dutta J, Ahn S, Li Q.
PMID: 24312148
Theranostics. 2013 Oct 04;3(10):741-56. doi: 10.7150/thno.6815.

Quantitative measures of image quality and reliability are critical for both qualitative interpretation and quantitative analysis of medical images. While, in theory, it is possible to analyze reconstructed images by means of Monte Carlo simulations using a large number...

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Dutta J, Ahn S, Li Q. Quantitative statistical methods for image quality assessment. Theranostics. 2013;3(10):741-56doi: 10.7150/thno.6815.
Dutta, J., Ahn, S., & Li, Q. (2013). Quantitative statistical methods for image quality assessment. Theranostics, 3(10), 741-56. https://doi.org/10.7150/thno.6815
Dutta, Joyita, et al. "Quantitative statistical methods for image quality assessment." Theranostics vol. 3,10 (2013): 741-56. doi: https://doi.org/10.7150/thno.6815
Dutta J, Ahn S, Li Q. Quantitative statistical methods for image quality assessment. Theranostics. 2013 Oct 04;3(10):741-56. doi: 10.7150/thno.6815. PMID: 24312148; PMCID: PMC3840409.
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Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method.

European radiology

Schuhbaeck A, Dey D, Otaki Y, Slomka P, Kral BG, Achenbach S, Berman DS, Fishman EK, Lai S, Lai H.
PMID: 24962824
Eur Radiol. 2014 Sep;24(9):2300-8. doi: 10.1007/s00330-014-3253-3. Epub 2014 Jun 25.

OBJECTIVES: Quantitative measurements of coronary plaque volume may play a role in serial studies to determine disease progression or regression. Our aim was to evaluate the interscan reproducibility of quantitative measurements of coronary plaque volumes using a standardized automated...

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Schuhbaeck A, Dey D, Otaki Y, et al. Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method. Eur Radiol. 2014;24(9):2300-8doi: 10.1007/s00330-014-3253-3.
Schuhbaeck, A., Dey, D., Otaki, Y., Slomka, P., Kral, B. G., Achenbach, S., Berman, D. S., Fishman, E. K., Lai, S., & Lai, H. (2014). Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method. European radiology, 24(9), 2300-8. https://doi.org/10.1007/s00330-014-3253-3
Schuhbaeck, Annika, et al. "Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method." European radiology vol. 24,9 (2014): 2300-8. doi: https://doi.org/10.1007/s00330-014-3253-3
Schuhbaeck A, Dey D, Otaki Y, Slomka P, Kral BG, Achenbach S, Berman DS, Fishman EK, Lai S, Lai H. Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method. Eur Radiol. 2014 Sep;24(9):2300-8. doi: 10.1007/s00330-014-3253-3. Epub 2014 Jun 25. PMID: 24962824.
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Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI).

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance

Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P, Mascherbauer J, Nezafat R, Salerno M, Schelbert EB, Taylor AJ, Thompson R, Ugander M, van Heeswijk RB, Friedrich MG.
PMID: 28992817
J Cardiovasc Magn Reson. 2017 Oct 09;19(1):75. doi: 10.1186/s12968-017-0389-8.

Parametric mapping techniques provide a non-invasive tool for quantifying tissue alterations in myocardial disease in those eligible for cardiovascular magnetic resonance (CMR). Parametric mapping with CMR now permits the routine spatial visualization and quantification of changes in myocardial composition...

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Messroghli DR, Moon JC, Ferreira VM, et al. Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn Reson. 2017;19(1):75doi: 10.1186/s12968-017-0389-8.
Messroghli, D. R., Moon, J. C., Ferreira, V. M., Grosse-Wortmann, L., He, T., Kellman, P., Mascherbauer, J., Nezafat, R., Salerno, M., Schelbert, E. B., Taylor, A. J., Thompson, R., Ugander, M., van Heeswijk, R. B., & Friedrich, M. G. (2017). Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 19(1), 75. https://doi.org/10.1186/s12968-017-0389-8
Messroghli, Daniel R, et al. "Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI)." Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance vol. 19,1 (2017): 75. doi: https://doi.org/10.1186/s12968-017-0389-8
Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P, Mascherbauer J, Nezafat R, Salerno M, Schelbert EB, Taylor AJ, Thompson R, Ugander M, van Heeswijk RB, Friedrich MG. Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn Reson. 2017 Oct 09;19(1):75. doi: 10.1186/s12968-017-0389-8. PMID: 28992817; PMCID: PMC5633041.
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CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis.

IEEE transactions on visualization and computer graphics

Hollt T, Pezzotti N, van Unen V, Koning F, Lelieveldt BPF, Vilanova A.
PMID: 28866537
IEEE Trans Vis Comput Graph. 2018 Jan;24(1):739-748. doi: 10.1109/TVCG.2017.2744318. Epub 2017 Aug 29.

Single-cell analysis through mass cytometry has become an increasingly important tool for immunologists to study the immune system in health and disease. Mass cytometry creates a high-dimensional description vector for single cells by time-of-flight measurement. Recently, t-Distributed Stochastic Neighborhood...

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Hollt T, Pezzotti N, van Unen V, et al. CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis. IEEE Trans Vis Comput Graph. 2017;24(1):739-748doi: 10.1109/TVCG.2017.2744318.
Hollt, T., Pezzotti, N., van Unen, V., Koning, F., Lelieveldt, B. P. F., & Vilanova, A. (2018). CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis. IEEE transactions on visualization and computer graphics, 24(1), 739-748. https://doi.org/10.1109/TVCG.2017.2744318
Hollt, Thomas, et al. "CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis." IEEE transactions on visualization and computer graphics vol. 24,1 (2018): 739-748. doi: https://doi.org/10.1109/TVCG.2017.2744318
Hollt T, Pezzotti N, van Unen V, Koning F, Lelieveldt BPF, Vilanova A. CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis. IEEE Trans Vis Comput Graph. 2018 Jan;24(1):739-748. doi: 10.1109/TVCG.2017.2744318. Epub 2017 Aug 29. PMID: 28866537.
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A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images.

Computers in biology and medicine

Berdouses ED, Koutsouri GD, Tripoliti EE, Matsopoulos GK, Oulis CJ, Fotiadis DI.
PMID: 25932969
Comput Biol Med. 2015 Jul;62:119-35. doi: 10.1016/j.compbiomed.2015.04.016. Epub 2015 Apr 20.

The aim of this work is to present a computer-aided automated methodology for the assessment of carious lesions, according to the International Caries Detection and Assessment System (ICDAS II), which are located on the occlusal surfaces of posterior permanent...

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Berdouses ED, Koutsouri GD, Tripoliti EE, et al. A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images. Comput Biol Med. 2015;62:119-35doi: 10.1016/j.compbiomed.2015.04.016.
Berdouses, E. D., Koutsouri, G. D., Tripoliti, E. E., Matsopoulos, G. K., Oulis, C. J., & Fotiadis, D. I. (2015). A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images. Computers in biology and medicine, 62119-35. https://doi.org/10.1016/j.compbiomed.2015.04.016
Berdouses, Elias D, et al. "A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images." Computers in biology and medicine vol. 62 (2015): 119-35. doi: https://doi.org/10.1016/j.compbiomed.2015.04.016
Berdouses ED, Koutsouri GD, Tripoliti EE, Matsopoulos GK, Oulis CJ, Fotiadis DI. A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images. Comput Biol Med. 2015 Jul;62:119-35. doi: 10.1016/j.compbiomed.2015.04.016. Epub 2015 Apr 20. PMID: 25932969.
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Magnetic Resonance Sequences and Rapid Acquisition for MR-Guided Interventions.

Magnetic resonance imaging clinics of North America

Campbell-Washburn AE, Faranesh AZ, Lederman RJ, Hansen MS.
PMID: 26499283
Magn Reson Imaging Clin N Am. 2015 Nov;23(4):669-79. doi: 10.1016/j.mric.2015.05.006. Epub 2015 Aug 12.

Interventional MR uses rapid imaging to guide diagnostic and therapeutic procedures. One of the attractions of MR-guidance is the abundance of inherent contrast mechanisms available. Dynamic procedural guidance with real-time imaging has pushed the limits of MR technology, demanding...

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Campbell-Washburn AE, Faranesh AZ, Lederman RJ, et al. Magnetic Resonance Sequences and Rapid Acquisition for MR-Guided Interventions. Magn Reson Imaging Clin N Am. 2015;23(4):669-79doi: 10.1016/j.mric.2015.05.006.
Campbell-Washburn, A. E., Faranesh, A. Z., Lederman, R. J., & Hansen, M. S. (2015). Magnetic Resonance Sequences and Rapid Acquisition for MR-Guided Interventions. Magnetic resonance imaging clinics of North America, 23(4), 669-79. https://doi.org/10.1016/j.mric.2015.05.006
Campbell-Washburn, Adrienne E, et al. "Magnetic Resonance Sequences and Rapid Acquisition for MR-Guided Interventions." Magnetic resonance imaging clinics of North America vol. 23,4 (2015): 669-79. doi: https://doi.org/10.1016/j.mric.2015.05.006
Campbell-Washburn AE, Faranesh AZ, Lederman RJ, Hansen MS. Magnetic Resonance Sequences and Rapid Acquisition for MR-Guided Interventions. Magn Reson Imaging Clin N Am. 2015 Nov;23(4):669-79. doi: 10.1016/j.mric.2015.05.006. Epub 2015 Aug 12. PMID: 26499283; PMCID: PMC4621782.
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Abnormal effective connectivity in the psychosis high-risk state.

NeuroImage

Schmidt A, Borgwardt S.
PMID: 23685160
Neuroimage. 2013 Nov 01;81:119-120. doi: 10.1016/j.neuroimage.2013.05.035. Epub 2013 May 15.

In a recently published fMRI study (Dauvermann et al., 2013), nonlinear dynamic causal modeling (DCM) was used to examine condition-specific effective connectivity in subjects at high genetic risk of schizophrenia. The authors concluded that nonlinear DCM could lead to...

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Schmidt A, Borgwardt S. Abnormal effective connectivity in the psychosis high-risk state. Neuroimage. 2013;81:119-120doi: 10.1016/j.neuroimage.2013.05.035.
Schmidt, A., & Borgwardt, S. (2013). Abnormal effective connectivity in the psychosis high-risk state. NeuroImage, 81119-120. https://doi.org/10.1016/j.neuroimage.2013.05.035
Schmidt, André, and Borgwardt, Stefan. "Abnormal effective connectivity in the psychosis high-risk state." NeuroImage vol. 81 (2013): 119-120. doi: https://doi.org/10.1016/j.neuroimage.2013.05.035
Schmidt A, Borgwardt S. Abnormal effective connectivity in the psychosis high-risk state. Neuroimage. 2013 Nov 01;81:119-120. doi: 10.1016/j.neuroimage.2013.05.035. Epub 2013 May 15. PMID: 23685160.
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Showing 1 to 12 of 251 entries