diff --git a/docs/generalPurposeProcesses.md b/docs/generalPurposeProcesses.md index 1dcd4f26..756e3030 100644 --- a/docs/generalPurposeProcesses.md +++ b/docs/generalPurposeProcesses.md @@ -104,8 +104,8 @@ Processes related to segmentation are listed in this section. | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| G.SE1.001 | Create binary mask | -- | -- | This process creates a binary segmentation mask on a given data set using a specified segmentation method.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"},
Segmentation method (select from [segmentation methods](#Segmentation methods))
**Output**:
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"} | -- | -| G.SE1.002 | Apply binary mask | -- | -- | This process masks a given data set with a given mask.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"},
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"}
**Output**:
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"} | --| +| G.SE1.001 | Create binary mask | -- | -- | This process creates a binary segmentation mask on a given data set using a specified segmentation method.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"},
Segmentation method (select from [segmentation methods](#Segmentation methods))
**Output**:
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"} | -- | +| G.SE1.002 | Apply binary mask | -- | -- | This process masks a given data set with a given mask.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"},
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"}
**Output**:
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"} | --| | G.SE1.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- | @@ -114,8 +114,8 @@ Processes related to segmentation are listed in this section. | -- | -- | -- | -- | -- | -- | | G.SE2.001 | Freehand | -- | -- | Manual freehand drawing of contours.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"}
**Output**:
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"} | --| | G.SE2.002 | Threshold | -- | -- | This method selects all input data with values in a specified range between lower and upper threshold.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"},
[Lower threshold (Q.GE1.010)](quantities.md#L){:target="_blank"},
[Upper threshold (Q.GE1.011)](quantities.md#U){:target="_blank"}
**Output**:
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"} | -- | -| G.SE2.003 | Region growing | -- | -- | This method grows a region from selected seeds with values between the lower and upper value threshold in the neighborhood of the seeds.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"},
[Seeds (Q.SE1.004)](quantities.md#Seeds){:target="_blank"},
[Lower threshold (Q.GE1.010)](quantities.md#L){:target="_blank"},
[Upper threshold (Q.GE1.011)](quantities.md#U){:target="_blank"}
**Output**:
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"} | -- | -| G.SE2.004 | *K*-means clustering | -- | -- | This method partitions the input data in a number of clusters using the *K*-means clustering algorithm and selects the cluster with the ith index as binary mask.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"},
[Number of *K*-Means clusters (Q.SE1.005)](quantities.md#N_kMeans){:target="_blank"},
[*i* (Q.GE1.003)](quantities.md#index){:target="_blank"}
**Output**:
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"} | -- | +| G.SE2.003 | Region growing |G.SE2.003 | Region growing | -- | -- | This method grows a region from selected seeds with values between the lower and upper value threshold in the neighborhood of the seeds.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"},
[Seeds (Q.SE1.004)](quantities.md#Seeds){:target="_blank"},
[Lower threshold (Q.GE1.010)](quantities.md#L){:target="_blank"},
[Upper threshold (Q.GE1.011)](quantities.md#U){:target="_blank"}
**Output**:
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"} | -- | +| G.SE2.004 | *K*-means clustering | -- | -- | This method partitions the input data in a number of clusters using the *K*-means clustering algorithm and selects the cluster with the ith index as binary mask.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"},
[Number of *K*-Means clusters (Q.SE1.005)](quantities.md#N_kMeans){:target="_blank"},
[*i* (Q.GE1.003)](quantities.md#index){:target="_blank"}
**Output**:
[Binary mask (Q.SE1.001)](quantities.md#BinMask){:target="_blank"} | -- | | G.SE2.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- | @@ -147,7 +147,7 @@ Uncertainty estimation and statistics processes | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| G.AV1.001 | Calculate Average | -- | CalcAverage | This process returns the average of input data according to a specified averaging method.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"}, Averaging method (select from [uncertainty estimation and statistics processes](#Uncertainty estimation and statistics processes)) e.g. [Calc $\bar{x}$ (G.US1.001)](#CalcMeanSample)
**Output:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"}| -- | +| G.AV1.001 | Calculate Average | -- | CalcAverage | This process returns the average of input data according to a specified averaging method.
**Input:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"}, Averaging method (select from [uncertainty estimation and statistics processes](#Uncertainty estimation and statistics processes)) e.g. [Calc $\bar{x}$ (G.US1.001)](#CalcMeanSample)
**Output:**
[Data (Q.GE1.002)](quantities.md#Data){:target="_blank"}| -- | | G.AV1.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- | diff --git a/docs/perfusionProcesses.md b/docs/perfusionProcesses.md index 9eefdfc8..b41b417a 100644 --- a/docs/perfusionProcesses.md +++ b/docs/perfusionProcesses.md @@ -61,13 +61,13 @@ The processes listed in this section describe commonly used methods to estimate | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| P.SC1.001 | Estimate signal scaling factor | -- | Estimate *S0* | In this process the signal scaling factor is determined according to a specified *S0* -estimation method.
**Input:**
Signal scaling factor estimation method ( select from [signal scaling factor estimation methods](#Signal scaling factor estimation methods))
**Output**:
[*S0* (Q.MS1.010)](quantities.md#S_0) | -- | +| | P.SC1.001 | Estimate signal scaling factor | -- | Estimate *S0* | In this process the signal scaling factor is determined according to a specified *S0* -estimation method.
**Input:**
Signal scaling factor estimation method ( select from [signal scaling factor estimation methods](#Signal scaling factor estimation methods))
**Output**:
[*S0* (Q.MS1.010)](quantities.md#S_0) | -- | ### Signal scaling factor estimation methods | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| P.SC2.001 | *S0* from native *R1* estimation | -- | -- | In this method *S0* is estimated as described in the native *R1* -estimation methods which have *S0* as output.
**Input:**
Select a [native R1 estimation method](#Native R1 estimation methods) with *S0* as output
**Output**:
[*S0* (Q.MS1.010)](quantities.md#S_0) | -- | -| P.SC2.002 | *S0* from baseline signal of dynamic data | -- | -- | In this method *S0* is estimated by inverting a specified MR signal model according to a specified inversion method for the baseline signal and baseline relaxation rate.
**Input:**
Inversion method (select from [Inversion methods](generalPurposeProcesses.md#Inversion methods)) with [Forward model (M.GF1.001)](perfusionModels.md#Forward model) = select from [MR signal models](perfusionModels.md#MR signal models) with
[*R1* (Q.EL1.001)](quantities.md#R1) = [*R10* (Q.EL1.002)](quantities.md#R10)
or
[*R2* (Q.EL1.004)](quantities.md#R2) = [*R20* (Q.EL1.005)](quantities.md#R20)
or
[*R2** (Q.EL1.007)](quantities.md#R2Star) = [*R20** (Q.E.008)](quantities.md#R2Star0),
[S (Q.MS1.001)](quantities.md#S) = [*SBL*(Q.MS1.002)](quantities.md#S_BL)
**Output**:
[*S0* (Q.MS1.010)](quantities.md#S_0) | -- | +| P.SC2.001 | *S0* from native *R1* estimation | -- | -- | In this method *S0* is estimated as described in the native *R1* -estimation methods which have *S0* as output.
**Input:**
Select a [native R1 estimation method](#Native R1 estimation methods) with *S0* as output
**Output**:
[*S0* (Q.MS1.010)](quantities.md#S_0) | -- | +| P.SC2.002 | *S0* from baseline signal of dynamic data | -- | -- | In this method *S0* is estimated by inverting a specified MR signal model according to a specified inversion method for the baseline signal and baseline relaxation rate.
**Input:**
Inversion method (select from [Inversion methods](generalPurposeProcesses.md#Inversion methods)) with [Forward model (M.GF1.001)](perfusionModels.md#Forward model) = select from [MR signal models](perfusionModels.md#MR signal models) with
[*R1* (Q.EL1.001)](quantities.md#R1) = [*R10* (Q.EL1.002)](quantities.md#R10)
or
[*R2* (Q.EL1.004)](quantities.md#R2) = [*R20* (Q.EL1.005)](quantities.md#R20)
or
[*R2** (Q.EL1.007)](quantities.md#R2Star) = [*R20** (Q.E.008)](quantities.md#R2Star0),
[S (Q.MS1.001)](quantities.md#S) = [*SBL*(Q.MS1.002)](quantities.md#S_BL)
**Output**:
[*S0* (Q.MS1.010)](quantities.md#S_0) | -- | | P.SC2.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- | @@ -90,8 +90,8 @@ The processes listed in this section describe commonly used methods to estimate ### AIF correction and measurement preparation | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| P.AE3.001 | Partial-volume effect corrected | -- | PVE | If this item is set in the [Estimate AIF (P.AE1.001)](#Estimate AIF) method, partial volume effects are accounted for. Otherwise, or if not specified, no partial volume effect correction was performed. | -- | -| P.AE3.002 | Dual Bolus | -- | DB | If this item is set in the [Estimate AIF (P.AE1.001)](#Estimate AIF) method, the full-dose AIF was reconstructed from a pre-bolus injection with a smaller dose. Otherwise, or if not specified, no dual bolus approach was used. | Risse et al. 2006 | +| P.AE3.001 | Partial-volume effect corrected | -- | PVE | If this item is set in the [Estimate AIF (P.AE1.001)](#Estimate AIF) method, partial volume effects are accounted for. Otherwise, or if not specified, no partial volume effect correction was performed. | -- | +| P.AE3.002 | Dual Bolus | -- | DB | If this item is set in the [Estimate AIF (P.AE1.001)](#Estimate AIF) method, the full-dose AIF was reconstructed from a pre-bolus injection with a smaller dose. Otherwise, or if not specified, no dual bolus approach was used. | Risse et al. 2006 | | P.AE3.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- | @@ -99,20 +99,20 @@ The processes listed in this section describe commonly used methods to estimate | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| P.SC1.001 | Convert signal to concentration | -- | ConvertSToC | In this process the MR signal is converted to the indicator concentration according to a specified concentration conversion method.
**Input:**
Signal to concentration conversion method (select from [signal to concentration conversion methods](#Signal to concentration conversion methods)).
**Output**:
[Indicator concentration (Q.IC1.001)](quantities.md#C)
| -- | +| P.SC1.001 | Convert signal to concentration | -- | ConvertSToC | In this process the MR signal is converted to the indicator concentration according to a specified concentration conversion method.
**Input:**
Signal to concentration conversion method (select from [signal to concentration conversion methods](#Signal to concentration conversion methods)).
**Output**:
[Indicator concentration (Q.IC1.001)](quantities.md#C)
| -- | ### Signal to concentration conversion methods | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | | P.SC2.001 | Direct conversion from signal concentration | -- | ConvertDirectSToC | In this process the MR signal is directly converted to the indicator concentration by inverting a specified forward model which describes a direct relationship between signal and indicator concentration.
**Input:**
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with
[Data (Q.GE1.002)](quantities.md#Data) = [Signal (Q.MS1.001)](quantities.md#S),
[Forward model (M.GF1.001)](perfusionModels.md#Forward model) = select [MR signal model](perfusionModels.md#MR signal models) with direct relationship between signal and indicator concentration
**Output**:
[Indicator concentration (Q.IC1.001)](quantities.md#C)
| -- | -| P.SC2.002 | Conversion via electromagnetic property| -- | ConvertSToCViaEP | In this process the MR signal is first converted to an electromagnetic property, which is in a second step converted to indicator concentration.
**Input:**
Signal to electromagnetic property conversion method (select from [signal to electromagnetic property conversion conversion methods](#Signal to electromagnetic property conversion methods)),
Electromagnetic property to concentration conversion method (select from [electromagnetic property to concentration conversion methods](#Electromagnetic property to concentration conversion methods))
**Output**:
[Indicator concentration (Q.IC1.001)](quantities.md#C)
| -- | +| P.SC2.002 | Conversion via electromagnetic property| -- | ConvertSToCViaEP | In this process the MR signal is first converted to an electromagnetic property, which is in a second step converted to indicator concentration.
**Input:**
Signal to electromagnetic property conversion method (select from [signal to electromagnetic property conversion conversion methods](#Signal to electromagnetic property conversion methods)),
Electromagnetic property to concentration conversion method (select from [electromagnetic property to concentration conversion methods](#Electromagnetic property to concentration conversion methods))
**Output**:
[Indicator concentration (Q.IC1.001)](quantities.md#C)
| -- | | P.SC2.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- | ### Signal to electromagnetic property conversion methods | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| P.SE1.001 | Model-based | -- | -- | In this process the MR signal is converted to an electromagnetic property (e.g. R1) via inversion of a specified model.
**Input:**
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with
[Data (Q.GE1.002)](quantities.md#Data) = [Signal (Q.MS1.001)](quantities.md#S),
[Forward model (M.GF1.001)](perfusionModels.md#Forward model) = select from [MR signal models](perfusionModels.md#MR signal models)
**Output**:
Quantity from [Electromagnetic quantities](quantities.md#Electromagnetic quantities) ( e.g. *R1*, *R2*, *R2** or $\chi$ )
| -- | +| P.SE1.001 | Model-based | -- | -- | In this process the MR signal is converted to an electromagnetic property (e.g. R1) via inversion of a specified model.
**Input:**
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with
[Data (Q.GE1.002)](quantities.md#Data) = [Signal (Q.MS1.001)](quantities.md#S),
[Forward model (M.GF1.001)](perfusionModels.md#Forward model) = select from [MR signal models](perfusionModels.md#MR signal models)
**Output**:
Quantity from [Electromagnetic quantities](quantities.md#Electromagnetic quantities) ( e.g. *R1*, *R2*, *R2** or $\chi$ )
| -- | | P.SE1.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- | @@ -120,7 +120,7 @@ The processes listed in this section describe commonly used methods to estimate ### Electromagnetic property to concentration conversion methods | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| P.EC1.001 | Model-based| -- | -- | In this process an electromagnetic property (e.g. R1) is converted to the indicator concentration via inversion of a specified model.
**Input:**
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with
[Data (Q.GE1.002)](quantities.md#Data) = [Electromagnetic quantities](quantities.md#Electromagnetic quantities),
[Forward model (M.GF1.001)](perfusionModels.md#Forward model) = select from [electromagnetic property models](perfusionModels.md#Electromagnetic property models)
**Output**:
[Indicator concentration (Q.IC1.001)](quantities.md#C)
| -- | +| P.EC1.001 | Model-based| -- | -- | In this process an electromagnetic property (e.g. R1) is converted to the indicator concentration via inversion of a specified model.
**Input:**
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with
[Data (Q.GE1.002)](quantities.md#Data) = [Electromagnetic quantities](quantities.md#Electromagnetic quantities),
[Forward model (M.GF1.001)](perfusionModels.md#Forward model) = select from [electromagnetic property models](perfusionModels.md#Electromagnetic property models)
**Output**:
[Indicator concentration (Q.IC1.001)](quantities.md#C)
| -- | | P.EC1.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- | @@ -129,13 +129,13 @@ This group contains methods used to correct for the leakage of an indicator into | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| P.LC1.001 | Leakage correction | -- | LC | This method is used to correct for the leakage of an indicator into the tissue which is not assumed to leave the vasculature.
**Input**:
Leakage correction method (select from [leakage correction methods](#Leakage correction methods))
**Output**:
[R2* (Q.EL1.007)](quantities.md#R2Star) | -- | +| P.LC1.001 | Leakage correction | -- | LC | This method is used to correct for the leakage of an indicator into the tissue which is not assumed to leave the vasculature.
**Input**:
Leakage correction method (select from [leakage correction methods](#Leakage correction methods))
**Output**:
[R2* (Q.EL1.007)](quantities.md#R2Star) | -- | ### Leakage correction methods | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| P.LC2.001 | Model-based | -- | -- | The leakage correction is done assuming a leakage correction model.
**Input**:
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with a [Forward model (M.GF1.001)](generalPurposeProcesses.md#Forward model) from [leakage correction models](perfusionModels.md#Leakage correction models)
**Output**:
[R2* (Q.EL1.007)](quantities.md#R2Star) | -- | +| P.LC2.001 | Model-based | -- | -- | The leakage correction is done assuming a leakage correction model.
**Input**:
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with a [Forward model (M.GF1.001)](generalPurposeProcesses.md#Forward model) from [leakage correction models](perfusionModels.md#Leakage correction models)
**Output**:
[R2* (Q.EL1.007)](quantities.md#R2Star) | -- | | P.LC2.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- | @@ -144,9 +144,9 @@ In this group methods are listed how to derive physiological or descriptive para | Code | OSIPI name| Alternative names|Notation|Description|Reference| | -- | -- | -- | -- | -- | -- | -| P.EX1.001 | Model-based parameter extraction| -- | Model-based | Parameters are derived by inverting a specified model which provides as output physiological or descriptive model quantities, e.g. via model fitting or deconvolution.
**Input**:
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with a [Forward model (M.GF1.001)](perfusionModels.md#Forward model) from [indicator concentration models](perfusionModels.md#Indicator concentration models) or [descriptive models](perfusionModels.md#Descriptive models).
**Output**:
[[Estimated model parameters (Q.OP1.003)](quantities.md#EMP) from [physiological quantities](quantities.md#Physiological quantities) or [descriptive model quantities](quantities.md#Descriptive model quantities)] | -- | -| P.EX1.002 | Curve descriptive parameter extraction | -- | Descriptive | This process returns the value of a curve descriptive quantity from a given data set on a given data grid according to a specified curve descriptive process.
**Input**:
Method from [curve descriptive processes](generalPurposeProcesses.md#Curve descriptive processes)
**Output**:
[Quantities from [curve descriptive quantities](quantities.md#Curve descriptive quantities)]| -- | -| P.EX1.003 | Derivation of parameters from other parameters | -- | Identity-based | This process returns a quantity from other given quantities and a specified parameter identity model.
**Input**:
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with a [Forward model (M.GF1.001)](perfusionModels.md#Forward model) from [perfusion identity models](perfusionModels.md#Perfusion identity models)
**Output**:
[[Estimated model parameters (Q.OP1.003)](quantities.md#EMP) from [physiological quantities](quantities.md#Physiological quantities)]| -- | +| P.EX1.001 | Model-based parameter extraction| -- | Model-based | Parameters are derived by inverting a specified model which provides as output physiological or descriptive model quantities, e.g. via model fitting or deconvolution.
**Input**:
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with a [Forward model (M.GF1.001)](perfusionModels.md#Forward model) from [indicator concentration models](perfusionModels.md#Indicator concentration models) or [descriptive models](perfusionModels.md#Descriptive models).
**Output**:
[[Estimated model parameters (Q.OP1.003)](quantities.md#EMP) from [physiological quantities](quantities.md#Physiological quantities) or [descriptive model quantities](quantities.md#Descriptive model quantities)] | -- | +| P.EX1.002 | Curve descriptive parameter extraction | -- | Descriptive | This process returns the value of a curve descriptive quantity from a given data set on a given data grid according to a specified curve descriptive process.
**Input**:
Method from [curve descriptive processes](generalPurposeProcesses.md#Curve descriptive processes)
**Output**:
[Quantities from [curve descriptive quantities](quantities.md#Curve descriptive quantities)]| -- | +| P.EX1.003 | Derivation of parameters from other parameters | -- | Identity-based | This process returns a quantity from other given quantities and a specified parameter identity model.
**Input**:
Inversion method (select from [inversion methods](generalPurposeProcesses.md#Inversion methods)) with a [Forward model (M.GF1.001)](perfusionModels.md#Forward model) from [perfusion identity models](perfusionModels.md#Perfusion identity models)
**Output**:
[[Estimated model parameters (Q.OP1.003)](quantities.md#EMP) from [physiological quantities](quantities.md#Physiological quantities)]| -- | | P.EX1.999 | Method not listed | -- | -- |This is a custom free-text item, which can be used if a method of interest is not listed. Please state a literature reference and request the item to be added to the lexicon for future usage. | -- |