Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner

Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Jin, David Shih-Chun [verfasserIn] Chu, Chien-Hao Chen, Jyh-Cheng

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Three-dimensional segmentation Bone mineral density (BMD) Biomedical image analysis Osteoporosis Trabecular bone morphological parameters (TMPs)

Anmerkung:	© Taiwanese Society of Biomedical Engineering 2016

Übergeordnetes Werk:	Enthalten in: Journal of medical and biological engineering - Berlin : Springer, 2000, 36(2016), 1 vom: Feb., Seite 96-104
Übergeordnetes Werk:	volume:36 ; year:2016 ; number:1 ; month:02 ; pages:96-104

Links:	Volltext

DOI / URN:	10.1007/s40846-016-0109-0

Katalog-ID:	SPR037921754

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520			\|a Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals.
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allfields	10.1007/s40846-016-0109-0 doi (DE-627)SPR037921754 (SPR)s40846-016-0109-0-e DE-627 ger DE-627 rakwb eng Jin, David Shih-Chun verfasserin aut Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwanese Society of Biomedical Engineering 2016 Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals. Three-dimensional segmentation (dpeaa)DE-He213 Bone mineral density (BMD) (dpeaa)DE-He213 Biomedical image analysis (dpeaa)DE-He213 Osteoporosis (dpeaa)DE-He213 Trabecular bone morphological parameters (TMPs) (dpeaa)DE-He213 Chu, Chien-Hao aut Chen, Jyh-Cheng aut Enthalten in Journal of medical and biological engineering Berlin : Springer, 2000 36(2016), 1 vom: Feb., Seite 96-104 (DE-627)777784408 (DE-600)2755178-7 2199-4757 nnns volume:36 year:2016 number:1 month:02 pages:96-104 https://dx.doi.org/10.1007/s40846-016-0109-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 36 2016 1 02 96-104
spelling	10.1007/s40846-016-0109-0 doi (DE-627)SPR037921754 (SPR)s40846-016-0109-0-e DE-627 ger DE-627 rakwb eng Jin, David Shih-Chun verfasserin aut Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwanese Society of Biomedical Engineering 2016 Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals. Three-dimensional segmentation (dpeaa)DE-He213 Bone mineral density (BMD) (dpeaa)DE-He213 Biomedical image analysis (dpeaa)DE-He213 Osteoporosis (dpeaa)DE-He213 Trabecular bone morphological parameters (TMPs) (dpeaa)DE-He213 Chu, Chien-Hao aut Chen, Jyh-Cheng aut Enthalten in Journal of medical and biological engineering Berlin : Springer, 2000 36(2016), 1 vom: Feb., Seite 96-104 (DE-627)777784408 (DE-600)2755178-7 2199-4757 nnns volume:36 year:2016 number:1 month:02 pages:96-104 https://dx.doi.org/10.1007/s40846-016-0109-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 36 2016 1 02 96-104
allfields_unstemmed	10.1007/s40846-016-0109-0 doi (DE-627)SPR037921754 (SPR)s40846-016-0109-0-e DE-627 ger DE-627 rakwb eng Jin, David Shih-Chun verfasserin aut Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwanese Society of Biomedical Engineering 2016 Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals. Three-dimensional segmentation (dpeaa)DE-He213 Bone mineral density (BMD) (dpeaa)DE-He213 Biomedical image analysis (dpeaa)DE-He213 Osteoporosis (dpeaa)DE-He213 Trabecular bone morphological parameters (TMPs) (dpeaa)DE-He213 Chu, Chien-Hao aut Chen, Jyh-Cheng aut Enthalten in Journal of medical and biological engineering Berlin : Springer, 2000 36(2016), 1 vom: Feb., Seite 96-104 (DE-627)777784408 (DE-600)2755178-7 2199-4757 nnns volume:36 year:2016 number:1 month:02 pages:96-104 https://dx.doi.org/10.1007/s40846-016-0109-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 36 2016 1 02 96-104
allfieldsGer	10.1007/s40846-016-0109-0 doi (DE-627)SPR037921754 (SPR)s40846-016-0109-0-e DE-627 ger DE-627 rakwb eng Jin, David Shih-Chun verfasserin aut Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwanese Society of Biomedical Engineering 2016 Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals. Three-dimensional segmentation (dpeaa)DE-He213 Bone mineral density (BMD) (dpeaa)DE-He213 Biomedical image analysis (dpeaa)DE-He213 Osteoporosis (dpeaa)DE-He213 Trabecular bone morphological parameters (TMPs) (dpeaa)DE-He213 Chu, Chien-Hao aut Chen, Jyh-Cheng aut Enthalten in Journal of medical and biological engineering Berlin : Springer, 2000 36(2016), 1 vom: Feb., Seite 96-104 (DE-627)777784408 (DE-600)2755178-7 2199-4757 nnns volume:36 year:2016 number:1 month:02 pages:96-104 https://dx.doi.org/10.1007/s40846-016-0109-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 36 2016 1 02 96-104
allfieldsSound	10.1007/s40846-016-0109-0 doi (DE-627)SPR037921754 (SPR)s40846-016-0109-0-e DE-627 ger DE-627 rakwb eng Jin, David Shih-Chun verfasserin aut Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwanese Society of Biomedical Engineering 2016 Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals. Three-dimensional segmentation (dpeaa)DE-He213 Bone mineral density (BMD) (dpeaa)DE-He213 Biomedical image analysis (dpeaa)DE-He213 Osteoporosis (dpeaa)DE-He213 Trabecular bone morphological parameters (TMPs) (dpeaa)DE-He213 Chu, Chien-Hao aut Chen, Jyh-Cheng aut Enthalten in Journal of medical and biological engineering Berlin : Springer, 2000 36(2016), 1 vom: Feb., Seite 96-104 (DE-627)777784408 (DE-600)2755178-7 2199-4757 nnns volume:36 year:2016 number:1 month:02 pages:96-104 https://dx.doi.org/10.1007/s40846-016-0109-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 36 2016 1 02 96-104
language	English
source	Enthalten in Journal of medical and biological engineering 36(2016), 1 vom: Feb., Seite 96-104 volume:36 year:2016 number:1 month:02 pages:96-104
sourceStr	Enthalten in Journal of medical and biological engineering 36(2016), 1 vom: Feb., Seite 96-104 volume:36 year:2016 number:1 month:02 pages:96-104
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Three-dimensional segmentation Bone mineral density (BMD) Biomedical image analysis Osteoporosis Trabecular bone morphological parameters (TMPs)
isfreeaccess_bool	false
container_title	Journal of medical and biological engineering
authorswithroles_txt_mv	Jin, David Shih-Chun @@aut@@ Chu, Chien-Hao @@aut@@ Chen, Jyh-Cheng @@aut@@
publishDateDaySort_date	2016-02-01T00:00:00Z
hierarchy_top_id	777784408
id	SPR037921754
language_de	englisch
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author	Jin, David Shih-Chun
spellingShingle	Jin, David Shih-Chun misc Three-dimensional segmentation misc Bone mineral density (BMD) misc Biomedical image analysis misc Osteoporosis misc Trabecular bone morphological parameters (TMPs) Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner
authorStr	Jin, David Shih-Chun
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topic_title	Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner Three-dimensional segmentation (dpeaa)DE-He213 Bone mineral density (BMD) (dpeaa)DE-He213 Biomedical image analysis (dpeaa)DE-He213 Osteoporosis (dpeaa)DE-He213 Trabecular bone morphological parameters (TMPs) (dpeaa)DE-He213
topic	misc Three-dimensional segmentation misc Bone mineral density (BMD) misc Biomedical image analysis misc Osteoporosis misc Trabecular bone morphological parameters (TMPs)
topic_unstemmed	misc Three-dimensional segmentation misc Bone mineral density (BMD) misc Biomedical image analysis misc Osteoporosis misc Trabecular bone morphological parameters (TMPs)
topic_browse	misc Three-dimensional segmentation misc Bone mineral density (BMD) misc Biomedical image analysis misc Osteoporosis misc Trabecular bone morphological parameters (TMPs)
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title	Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner
ctrlnum	(DE-627)SPR037921754 (SPR)s40846-016-0109-0-e
title_full	Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner
author_sort	Jin, David Shih-Chun
journal	Journal of medical and biological engineering
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author_browse	Jin, David Shih-Chun Chu, Chien-Hao Chen, Jyh-Cheng
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author-letter	Jin, David Shih-Chun
doi_str_mv	10.1007/s40846-016-0109-0
title_sort	trabecular bone morphological analysis for preclinical osteoporosis application using micro computed tomography scanner
title_auth	Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner
abstract	Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals. © Taiwanese Society of Biomedical Engineering 2016
abstractGer	Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals. © Taiwanese Society of Biomedical Engineering 2016
abstract_unstemmed	Abstract Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals. © Taiwanese Society of Biomedical Engineering 2016
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container_issue	1
title_short	Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner
url	https://dx.doi.org/10.1007/s40846-016-0109-0
remote_bool	true
author2	Chu, Chien-Hao Chen, Jyh-Cheng
author2Str	Chu, Chien-Hao Chen, Jyh-Cheng
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doi_str	10.1007/s40846-016-0109-0
up_date	2024-07-03T15:10:09.535Z
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Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner

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