caa a22 4500 605493022 CHVBK 20210128100518.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00261-015-0475-z doi (NATIONALLICENCE)springer-10.1007/s00261-015-0475-z A novel semi-automatic segmentation method for volumetric assessment of the colon based on magnetic resonance imaging [Elektronische Daten] [Thomas Sandberg, Matias Nilsson, Jakob Poulsen, Mikkel Gram, Jens Frøkjær, Lasse Østergaard, Asbjørn Drewes] Purpose: To develop a novel semi-automatic segmentation method for quantification of the colon from magnetic resonance imaging (MRI). Methods: Fourteen abdominal T2-weighted and dual-echo Dixon-type water-only MRI scans were obtained from four healthy subjects. Regions of interest containing the colon were outlined manually on the T2-weighted images. Segmentation of the colon and feces was obtained using k-means clustering and image registration. Regional colonic and fecal volumes were obtained. Inter-observer agreement between two observers was assessed using the Dice similarity coefficient as measure of overlap. Results: Colonic segmentations showed wide variation in volume and morphology between subjects. Colon volumes of the four healthy subjects for both observers were (median [interquartile range]) ascending colon 200mL [169.5-260], transverse 200.5mL [113.5-242.5], descending 148mL [121.5-178.5], sigmoid-rectum 277mL [192-345], and total 819mL [687-898.5]. Overlap agreement for the total colon segmentation between the two observers was high with a Dice similarity coefficient of 0.91 [0.84-0.94]. The colon volume to feces volume ratio was on average 0.7. Conclusion: Regional colon volumes were comparable to previous findings using fully manual segmentation. The method showed good agreement between observers and may be used in future studies of gastrointestinal disorders to assess colon and fecal volume and colon morphology. Novel insight into morphology and quantitative assessment of the colon using this method may provide new biomarkers for constipation and abdominal pain compared to radiography which suffers from poor reliability. Springer Science+Business Media New York, 2015 Colon nationallicence Magnetic resonance imaging nationallicence Machine learning nationallicence Artificial intelligence nationallicence Computer-assisted image processing nationallicence Constipation nationallicence Sandberg Thomas Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut Nilsson Matias Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut Poulsen Jakob Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut Gram Mikkel Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut Frøkjær Jens Mech-Sense, Department of Radiology, Aalborg University Hospital, Aalborg, Denmark aut Østergaard Lasse Department of Health Science and Technology, Aalborg University, Aalborg, Denmark aut Drewes Asbjørn Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut Abdominal Imaging Springer US; http://www.springer-ny.com 40/7(2015-10-01), 2232-2241 0942-8925 40:7<2232 2015 40 261 https://doi.org/10.1007/s00261-015-0475-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00261-015-0475-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sandberg Thomas Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut NATIONALLICENCE 700 1- Nilsson Matias Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut NATIONALLICENCE 700 1- Poulsen Jakob Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut NATIONALLICENCE 700 1- Gram Mikkel Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut NATIONALLICENCE 700 1- Frøkjær Jens Mech-Sense, Department of Radiology, Aalborg University Hospital, Aalborg, Denmark aut NATIONALLICENCE 700 1- Østergaard Lasse Department of Health Science and Technology, Aalborg University, Aalborg, Denmark aut NATIONALLICENCE 700 1- Drewes Asbjørn Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark aut NATIONALLICENCE 773 0- Abdominal Imaging Springer US; http://www.springer-ny.com 40/7(2015-10-01), 2232-2241 0942-8925 40:7<2232 2015 40 261