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4 results for “Multi-Parameter Mapping”

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zenodo40/100

Data for: Quantitative Multi-Parameter Mapping in Magnetic Resonance Imaging

<p>Magnetic Resonance Imaging&nbsp;measurement data used in the PhD thesis &quot;Quantitative Multi-Parameter Mapping in Magnetic Resonance Imaging&quot;. The data is provided in a&nbsp;file format used by the BART toolbox (DOI:&nbsp;<a href="http://doi.org/10.5281/zenodo.592960">10.5281/zenodo.592960</a>).<br> &nbsp;</p> <p>Further information about the individual datasets:</p> <p>data_invivo_b0map<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; B0 Map<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; Two GRE Acquisitions with different TE, &quot;gre_field_mapping&quot; Sequence<br> &nbsp;&nbsp;&nbsp; TR|TE1|TE2 [ms]: 400|4.92|7.38<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 60<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240</p> <p>data_invivo_b1map<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; B1 Map<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; Preconditioned RF pulse with TurboFLASH Readout<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 6830|2.19<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 8<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240</p> <p>data_invivo_irflash<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR FLASH<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 3.8|2.26<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 8<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 7</p> <p>data_invivo_irbssfp<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR bSSFP<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 4.5|2.25<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 45<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 7</p> <p>data_invivo_irbssfp_shim<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR bSSFP<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 4.5|2.25<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 45<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 7<br> &nbsp;&nbsp;&nbsp; missing shim break</p> <p>data_vfa_b0map<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; B0 Map<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; Two GRE Acquisitions with different TE, &quot;gre_field_mapping&quot; Sequence<br> &nbsp;&nbsp;&nbsp; TR|TE1|TE2 [ms]: 400|4.92|7.38<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 60<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240</p> <p>data_vfa_b1map<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; B1 Map<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; Preconditioned RF pulse with TurboFLASH Readout<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 6830|2.19<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 8<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240</p> <p>data_vfa_irflash<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR FLASH<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 3.8|2.26<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 8<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 13</p> <p>data_vfa_irbssfp_20<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR bSSFP<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 4.5|2.25<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 20<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 13</p> <p>data_vfa_irbssfp_40<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR bSSFP<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 4.5|2.25<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 40<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 13</p> <p>data_vfa_irbssfp_45<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR bSSFP<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 4.5|2.25<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 45<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 13</p> <p>data_vfa_irbssfp_50<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR bSSFP<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 4.5|2.25<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 50<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 13</p> <p>data_vfa_irbssfp_60<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR bSSFP<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 4.5|2.25<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 60<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 13</p> <p>data_vfa_irbssfp_70<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR bSSFP<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 4.5|2.25<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 70<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 13</p> <p>data_vfa_irbssfp_77<br> &nbsp;&nbsp;&nbsp; Type:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Radial Single-Shot Dataset<br> &nbsp;&nbsp;&nbsp; Object:&nbsp;&nbsp;&nbsp;&nbsp; Single-slice of volunteers brain<br> &nbsp;&nbsp;&nbsp; Sequence:&nbsp;&nbsp; IR bSSFP<br> &nbsp;&nbsp;&nbsp; TR|TE [ms]: 4.5|2.25<br> &nbsp;&nbsp;&nbsp; FA [deg]:&nbsp;&nbsp; 77<br> &nbsp;&nbsp;&nbsp; T_RF [ms]:&nbsp; 1<br> &nbsp;&nbsp;&nbsp; BWTP:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4<br> &nbsp;&nbsp;&nbsp; FOV [mm]:&nbsp;&nbsp; 240<br> &nbsp;&nbsp;&nbsp; #Tiny GA:&nbsp;&nbsp; 13</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Multi-parameter thematic maps for VRT

<p>&quot;Optimization of VRT technology to the resilient tomato lines&quot;, during year 2020 an extensive set of field surveys has been conducted by Casella using the MECS-CROP sensors made available to the TOMRES project, in order to describe and map spatial variability of field-grown tomato. All collected data have been statistically processed, analyzed and interpreted in order to assess the potential in increasing tomato stress resilience, production and quality by means of the tested smart farming techniques (variable rate fertilization, irrigation and spraying).</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Multi-parameter thematic maps for VRT (2019)

<p>&ldquo;Optimization of VRT technology to the resilient tomato lines&rdquo;, during year 2019 an additional set of field surveys has been conducted by Casella using the MECS-CROP sensors made available to the TOMRES project, in order to describe and map spatial variability of field-grown tomato. All collected data have been statistically processed, analyzed and interpreted in order to assess the potential in increasing tomato stress resilience, production and quality by means of the tested smart farming techniques (variable rate fertilization, irrigation and spraying).</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Multi-parameter thematic maps for VRT (2018)

<p>&quot;Optimization of VRT technology to the resilient tomato lines&quot;, during years 2017 and 2018 an extensive set of field surveys has been conducted by Casella using the MECS-CROP sensors made available to the TOMRES project, in order to describe and map spatial variability of field-grown tomato. All collected data have been statistically processed, analyzed and interpreted in order to assess the potential in increasing tomato stress resilience, production and quality by means of the tested smart farming techniques (variable rate fertilization, irrigation and spraying).</p>

opencc-by-4.0Jun 2021View details →

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