Method for coregistration of optical measurements of breast tissue with histopathology: the importance of accounting for tissue deformations
暂无分享,去创建一个
Esther Kho | Lisanne L. de Boer | Koen K. Van de Vijver | Theo J. M. Ruers | Jasper Nijkamp | Henricus J. C. M. Sterenborg | Leon C. ter Beek | K. K. van de Vijver | T. Ruers | L. T. ter Beek | H. Sterenborg | J. Nijkamp | E. Kho | L. D. de Boer
[1] J. Elmore,et al. Diagnostic Reproducibility: What Happens When the Same Pathologist Interprets the Same Breast Biopsy Specimen at Two Points in Time? , 2017, Annals of Surgical Oncology.
[2] B. Geller,et al. Variability in the Quality of Pathology Reporting of Margin Status Following Breast Cancer Surgery , 2011, Annals of Surgical Oncology.
[3] Rami Nachabé,et al. Estimation of biological chromophores using diffuse optical spectroscopy: benefit of extending the UV-VIS wavelength range to include 1000 to 1600 nm , 2010, Biomedical optics express.
[4] S. Schnitt,et al. Processing and evaluation of breast excision specimens. A clinically oriented approach. , 1992, American journal of clinical pathology.
[5] H. Schild,et al. Comparison between modified Dixon MRI techniques, MR spectroscopic relaxometry, and different histologic quantification methods in the assessment of hepatic steatosis , 2015, European Radiology.
[6] Venkataramanan Krishnaswamy,et al. Scatter Spectroscopic Imaging Distinguishes between Breast Pathologies in Tissues Relevant to Surgical Margin Assessment , 2012, Clinical Cancer Research.
[7] J. Elmore,et al. Diagnostic concordance among pathologists interpreting breast biopsy specimens. , 2015, JAMA.
[8] Y. Yamashita,et al. Clinical usefulness of the mDIXON Quant the method for estimation of the salivary gland fat fraction: comparison with MR spectroscopy. , 2017, The British journal of radiology.
[9] Poul Boiesen, Pär-Ola Bendahl, Lola Anagnostaki, H,et al. Histologic Grading in Breast Cancer: Reproducibility Between Seven Pathologic Departments , 2000 .
[10] Mariano Alcañiz Raya,et al. Stained and infrared image registration as first step for cancer detection , 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).
[11] Laura Marcu,et al. Automated detection of breast cancer in resected specimens with fluorescence lifetime imaging , 2017, Physics in medicine and biology.
[12] Calum MacAulay,et al. Validation of novel optical imaging technologies: the pathologists' view. , 2007, Journal of biomedical optics.
[13] Dongsheng Wang,et al. Hyperspectral imaging for cancer surgical margin delineation: registration of hyperspectral and histological images , 2014, Medical Imaging.
[14] Laura Marcu,et al. Method for accurate registration of tissue autofluorescence imaging data with corresponding histology: a means for enhanced tumor margin assessment , 2018, Journal of biomedical optics.
[15] B. Wilson,et al. Monte Carlo modeling of light propagation in highly scattering tissues. I. Model predictions and comparison with diffusion theory , 1989, IEEE Transactions on Biomedical Engineering.
[16] N. Houssami,et al. Margins in breast conservation: A clinician's perspective and what the literature tells us , 2014, Journal of surgical oncology.
[17] S. Schnitt,et al. Dilemmas in Breast Disease. Evaluation of Microscopic Margins in Patients with Invasive Breast Cancer: Technical and Interpretive Considerations , 1998 .
[18] M. B. van der Mark,et al. Estimation of lipid and water concentrations in scattering media with diffuse optical spectroscopy from 900 to 1,600 nm. , 2010, Journal of biomedical optics.
[19] M. Yaffe,et al. Whole‐mount pathology of breast lumpectomy specimens improves detection of tumour margins and focality , 2016, Histopathology.
[20] B. Knudsen,et al. Data integration from pathology slides for quantitative imaging of multiple cell types within the tumor immune cell infiltrate , 2017, Diagnostic Pathology.
[21] B. Pritt,et al. The effect of tissue fixation and processing on breast cancer size. , 2005, Human pathology.
[22] Shailja Chatterjee,et al. Artefacts in histopathology , 2014, Journal of oral and maxillofacial pathology : JOMFP.
[23] Venkataramanan Krishnaswamy,et al. Automated classification of breast pathology using local measures of broadband reflectance. , 2010, Journal of biomedical optics.
[24] E. Wiley,et al. Evaluation of Resection Margins in Breast Conservation Therapy: The Pathology Perspective—Past, Present, and Future , 2012, International journal of surgical oncology.
[25] Guolan Lu,et al. Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery , 2015, Journal of biomedical optics.
[26] Stephen P Povoski,et al. Standardized and reproducible methodology for the comprehensive and systematic assessment of surgical resection margins during breast-conserving surgery for invasive breast cancer , 2009, BMC Cancer.
[27] Hugh Barr,et al. The future of medical diagnostics: review paper , 2011, Head & neck oncology.
[28] Xu Wang,et al. Deformable registration of histological cancer margins to gross hyperspectral images using demons , 2018, Medical Imaging.
[29] Alex Henderson,et al. Infrared spectral histopathology using haematoxylin and eosin (H&E) stained glass slides: a major step forward towards clinical translation. , 2017, The Analyst.
[30] Venkataramanan Krishnaswamy,et al. Scanning in situ spectroscopy platform for imaging surgical breast tissue specimens. , 2013, Optics express.
[31] A. Madabhushi,et al. Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.
[32] Sabrina Fox‐Bosetti,et al. Reproducibility of hepatic fat fraction measurement by magnetic resonance imaging , 2013, Journal of magnetic resonance imaging : JMRI.
[33] Sébastien Ourselin,et al. A Survey of Methods for 3D Histology Reconstruction , 2018, Medical Image Anal..
[34] Donald L Weaver,et al. Understanding diagnostic variability in breast pathology: lessons learned from an expert consensus review panel , 2014, Histopathology.
[35] Leena Latonen,et al. Comparative analysis of tissue reconstruction algorithms for 3D histology , 2018, Bioinform..
[36] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .
[37] Frederic Leblond,et al. Challenges and opportunities in clinical translation of biomedical optical spectroscopy and imaging , 2018, Journal of biomedical optics.
[38] E. D. de Vries,et al. Micro-computed tomography (micro-CT) for intraoperative surgical margin assessment of breast cancer: A feasibility study in breast conserving surgery. , 2018, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.
[39] G. Newstead,et al. Comparing post‐operative human breast specimen radiograph and MRI in lesion margin and volume assessment , 2012, Journal of applied clinical medical physics.
[40] Esther Kho,et al. Hyperspectral Imaging for Resection Margin Assessment during Cancer Surgery , 2019, Clinical Cancer Research.
[41] M. Fernö,et al. Histologic grading in breast cancer--reproducibility between seven pathologic departments. South Sweden Breast Cancer Group. , 2000, Acta oncologica.
[42] W. Rau,et al. Fine structure of breast tissue on micro computed tomography a feasibility study. , 2011, Academic radiology.