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ASL pipeline inventory
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ASL pipeline inventory

This OSIPI TF 1.1. ASL inventory list ASL pipelines features and requirements self-assessed by their developers using an online questionnaire.

If you want to have your pipeline added, either fill the questionnaire or contact TF 1.1 leaders j.petr@hzdr.de or sudiptod@pennmedicine.upenn.edu.

The tables below contain information about

  1. Basic pipeline information
  2. Basic requirements and inputs
  3. Main processing features
  4. Data already processed with the pipeline

Table 1. Contact

Ease of use

Pipeline Name

Institution

Download

Publication/Website

Author's name

M
A

N

U

A

L

S

O

U

R

C

E

G

U

I

ASAP

Erasmus MC

LINK

Mato Abad 2016

Virginia Mato Abad

✓

✓

ASLtbx

University of Pennsylvania

LINK

Wang ‘08, Wang ‘12

Ze Wang

✓

✓

✓

ASL-MRICloud

Johns Hopkins School of Medicine

LINK

Li 2018

Yang Li

✓

✓

aslm

University of Zurich

LINK

Homan2012

Philipp Homan

✓

✓

✓

ASLPrep

University of Pennsylvania

LINK

Adebimpe 2021

Azeez Adebimpe

✓

✓

BASIL

University of Oxford, University of Nottingham

LINK

website

Michael Chappell

✓

✓

✓

CereFlow

Translational MRI LLC

website

TransMRI

✓

✓

CLINICAL ASL-CVR

University Medical Center Utrecht

LINK

GitHub website

Jeroen Siero

✓

ENABLE

Sunnybrook Research Institute

Shirzadi 2015, 2018

Zahra Shirzadi, Brad MacIntosh

✓

✓

ExploreASL

Amsterdam UMC

LINK

Mutsaerts2020

Henk-Jan Mutsaerts, Jan Petr

✓

✓

✓

FASL (Functional ASL)

University of MIchigan

LINK

Luis Hernandez-Garcia

✓

✓

Iris pipeline

Erasmus MC

Bron 2014

Esther E. Bron

✓

✓

LOFT-CBF

LOFT, University of Southern California

Kay Jann, Danny Wang, Chenyang Zhao

✓

milxASL

CSIRO

Fazlollahi 2015

Amir Fazlollahi

mjdASL

Vanderbilt University Medical Center

LINK

Arteaga 2016

Manus Donahue

✓

✓

nordicICE (nICE)

Oslo University Hospital

Antolak 2019

Atle Bjørnerud

✓

✓

Philips 3D ASL

Philips Healthcare

website

Philips Healthcare

Quantiphyse (ASL)

University of Oxford, University of Nottingham

LINK

website

Michael Chappell

✓

✓

SCRUB-ASL

University of Pennsylvania

Dolui 2017

Sudipto Dolui

✓

✓

Super-selective pCASL CBF

UKSH Kiel,UKE Hamburg

Lindner 2018

Thomas Lindner

✓

VANDPIRE

Vanderbilt University Medical Center

LINK

Arteaga 2016

Daniel Arteaga, Manus Donahue 

✓

✓

Andrea Federspiel

University of Bern

website

Andrea Federspiel

✓

Author contact information and affiliation, link for publication and download, availability: On request , commercial license .

Table 2. Requirements

Basic requirements on the operating system (MacOS, Linux , Windows, cloud), software (Matlab, FSL, SPM, Python), and data input types, MR vendors (Agilent, GE healthcare, Philips healthcare, Siemens healthineers, United imaging - other vendors might work but were not tested). All pipelines were developed and tested to work with human brain scans, further tested functionality is provided for different organs or for animal use in the last column.

Input data type

Pipeline Name

Supported MR vendors

Operating system

Software Requirement

A

N

A

L

Y

Z

E

B

I

D

S

D

I

C

O

M

E

N

H

-

D

C

M

N

I

F

T

I

P

A

R

/

R

E

C

Organ, animal

ASAP

     

✓

✓

✓

ASLtbx

✓

✓

ASL-MRICloud

               

✓

aslm

         

✓

ASLPrep

     

           

✓

BASIL

         

✓

✓

Mice/rats

CereFlow

         

✓

✓

CLINICAL ASL-CVR

     

     

✓

✓

✓

✓

ENABLE

 

     

✓

✓

Monkeys

ExploreASL

,(GUI), none (compiled)

✓

✓

✓

✓

✓

✓

FASL (Functional ASL)

✓

✓

Iris pipeline

   

✓

✓

✓

✓

LOFT-CBF

✓

✓

milxASL

           

   

✓

✓

Prostate

mjdASL

   

   

✓

✓

✓

Kidney

nordicICE (nICE)

       

✓

✓

✓

Philips 3D ASL

     

         

scanner

✓

✓

Quantiphyse (ASL)

N/A

✓

Mice/rats

SCRUB-ASL

✓

✓

✓

✓

Super-selective pCASL CBF

     

         

 Im.Proc.Tbx

✓

VANDPIRE

     

         

✓

✓

✓

Kidney

Andrea Federspiel

           

           

✓

Table 3. Features

Main features concerning the labeling type (pCASL: pseudo-continuous ASL, PASL: pulsed ASL, s-PLD: single post-labeling delay (PLD), m-PLD: multi-PLD, L-L: Look-Locker, T-enc: time  or Hadamard encoded; VS: vessel/super selective), use of partial volume correction (PVC), denoising (temporal, spatial, deep learning (DL)); output space of the resulting maps (ASL space, T1 space, MNI space); output of regional values (whole brain, GM, manually provided ROI, standard atlases); and a presence of a quality-control (QC) report or images are provided to facilitate subject exclusion.

Sequence type

Denoising

Pipeline name

P

A

S

L

P

C

A

S

L

S

-

P

L

D

M

-

P

L

D

L

-

L

T

-

E

N

c

V

S

f

A

S

L

P

V

C

T

E

M

P

S

P

A

T

L

D

L

Output space

Regional evaluation

QC

ASAP

✓

✓

✓

     

ASLtbx

✓

✓

✓

✓

✓

✓

✓

✓

✓

   

ASL-MRICloud

✓

✓

✓

✓

✓

✓

     

✓

aslm

✓

   

ASLPrep

✓

✓

✓

✓

✓

✓

✓

BASIL

✓

✓

✓

✓

✓

✓

✓

✓

✓

   

CereFlow

✓

✓

✓

✓

         

✓

CLINICAL ASL-CVR

✓

✓

✓

✓

✓

✓

✓

✓

ENABLE

✓

✓

✓

✓

✓

✓

   

✓

ExploreASL

✓

✓

✓

✓

✓

✓

✓

✓

FASL (Functional ASL)

✓

✓

✓

✓

Iris pipeline

✓

✓

✓

✓

   

✓

LOFT-CBF

✓

✓

✓

✓

✓

milxASL

✓

✓

✓

✓

✓

✓

✓

mjdASL

✓

✓

✓

✓

nordicICE (nICE)

✓

✓

✓

         

✓

Philips 3D ASL

✓

✓

Quantiphyse (ASL)

✓

✓

✓

✓

✓

✓

✓

   

✓

SCRUB-ASL

✓

✓

✓

✓

✓

✓

✓

✓

✓

Super-selective pCASL CBF

✓

✓

VANDPIRE

✓

✓

✓

✓

✓

Andrea Federspiel

✓

✓

✓

     

Table 4. Experience

This table approximates the actual use of the pipeline in practice. It lists how many different studies/trials/datasets were processed by the pipeline; how many human brain and non-brain, and animal scans were processed by the pipeline. For studies, the developers were able to choose from options 0, 1-5, 5-10, 10-20, 20-50, 50-100, and 100+. For scans, the options were 0, 1-10, 10-100, 100-1000, 1000-10000, 10000+. Note that the numbers were subjectively self-assessed and are thus rough estimates only.

Pipeline Name

Studies

Human brain scans

Human non-brain scans

Animal scans

ASAP

10-20

1,000-10,000

0

0

ASLtbx

100+

10,000+

0

0

ASL-MRICloud

N/A

10,000+

0

0

aslm

5-10

N/A

0

0

ASLPrep

100+

10,000+

0

0

BASIL

50-100

1,000-10,000

10-100

10-100

CereFlow

20-50

10,000+

0

0

CLINICAL ASL-CVR

5-10

100-1,000

10-100

0

ENABLE

10-20

1,000-10,000

0

0

ExploreASL

50-100

10,000+

0

0

FASL (Functional ASL)

5-10

10-100

0

0

Iris pipeline

5-10

1,000-10,000

0

0

LOFT-CBF

10-20

1,000-10,000

0

0

milxASL

5-10

1,000-10,000

0

0

mjdASL

20-50

100-1,000

10-100

0

nordicICE (nICE)

1-5

10-100

0

0

Philips 3D ASL

100+

10,000+

0

0

Quantiphyse (ASL)

1-5

10-100

0

1-10

SCRUB-ASL

20-50

10,000+

0

0

Super-selective pCASL CBF

1-5

10-100

0

0

VANDPIRE

20-50

100-1,000

10-100

0

Andrea Federspiel

10-20

100-1,000

0

0