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NEW ASPECTS of APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS & INFORMATICS and COMMUNICATIONS




   A novel Standardized Uptake Value (SUV) calculation of PET
                  DICOM files using MATLAB.
                  PAWITRA MASA-AH and SOMPHOB SOONGSATHITANON*
                      Nuclear Medicine Division, Department of Radiology,
                     Faculty of Medicine Siriraj Hospital, Mahidol University,
                           2 Prannok Rd., Bangkoknoi, Bangkok, 10700
                                          THAILAND
                          *Corresponding author: sissst@mahidol.ac.th


Abstract: - This paper presents a novel SUV calculation scheme for PET DICOM files using
MATLAB and the results are compared with the SUV taken from the well-known application
software from GE healthcare. The performance of the scheme is evaluated by using the DICOM files
taken from the widely used standard PET phantom scan. The results show that the SUV calculation
scheme for PET DICOM file using MATLAB is comparable with the SUV taken from the GE
healthcare application software. The strength of this scheme is that the interchangeability of the
DICOM files can be done conveniently without the special application software from any vendors.

Key-Words: - Positron Emission Tomography combined Computed tomography (PET/CT),
Standardized Uptake Value (SUV), The Digital Imaging and Communications in Medicine
(DICOM)


1 Introduction                                              A DICOM file is divided into two major
                                                         sections. there are part of the DICOM image
In Nuclear medicine, Positron Emission                   and the data header (DICOM elements or
Tomography (PET) scanner plays an important              Metadata). DICOM image (Fig 1) shows a
role in both diagnosis and staging of cancers.           more detailed list of the DICOM header as
The hybrid system of a PET scanner combined              displayed by the software. The data header or
with CT scanner (PET/CT) has gained                      DICOM elements (Fig 1) required depends on
popularity in the oncological community since            the image type.
its commercial introduction to the market in                In this research we use MATLAB as a
early 2001.                                              DICOM viewer and also for analysis. These
      For the F18-FDG uptake evaluation of               are the reviewed DICOM file by MATLAB.
the tumor metabolism quantitatively. SUV
(Standardized Uptake Value) is the one that
quite often used. It is most commonly used
semi-quantitative parameter utilized for                                         (a)
analyzing FDG-PET images in routine clinical
practice. It came to be used as a tool to
supplement visual interpretation.
      DICOM file was a file format that                                                          (b)
developed by the DICOM Standards
Committee whose members are also partly
members of NEMA. The Strength of DICOM
files is the exchangeability between two
entities that are capable of receiving image and
patient data. DICOM also enables the
integration of scanners, servers, workstations,             Fig. 1. The DICOM file is reviewed by
printers, and network hardware from multiple                MATLAB (a.) Image part (b.) Metadata
manufacturers into a picture archiving and                  part
communication system (PACS).



ISSN: 1792-460X                                    413                            ISBN: 978-960-474-216-5
NEW ASPECTS of APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS & INFORMATICS and COMMUNICATIONS




2 Study Framework                                        varies for every image slice. So the tissue
This is a block diagram in our study that show           activity is calculated using formula 1.
the process, After a set of DICOM files
throughout our created scheme, the scheme                                                                                         (1)
yielded the SUVmaximum and SUVmean
                                                         Where m is rescale Slope (which is different
                                                         in each image slice), SV is the stored value
                                                         (Pixel intensity Value), b is rescale intercept
                                                         (for PET scan is always Zero) and U is units of
                                                         value after conversion (for our study is Bq/ml,
                                                         Shown in Unit tag)
                                                            The conversion formula above is the
                                                         fundamental defined by NEMA, however the
    Fig. 2. The Study Framework                          formula maybe slightly different for each
                                                         vendor, In this study we used GE DICOM file.
                                                         So the method of calculation is based on GE
3 Calculation of Standardized                            conformance statement [8]
Uptake Value (SUV).                                      SUVbody weight (kg / ml ) =
                                                                                             Activity Concentration in ROI ( Bq / ml )             (2)
SUV (Standardized Uptake Value) is the one                                                             ⎛ Injected Dose( Bq ) ⎞
                                                                                                       ⎜                     ⎟
that quite often used. It is most commonly                                                             ⎜ body weight         ⎟
                                                                                                       ⎝             ( kg ) ⎠
used semi-quantitative parameter utilized for
analyzing FDG-PET images in routine clinical
practice. It came to be used as a tool to                                                            ⎛
                                                                                                     ⎜
                                                                                                            Pixel Value       ⎞
                                                                                                     ⎜ Im age Scale Factor ⎟  ⎟
supplement visual interpretation. The SUV is                                                         ⎝                        ⎠
                                                     SUV body   weight ( kg / ml )   =
                                                                                       ⎛ actual activity ⎞
                                                                                                                                                   (3)
also used to distinguish between malignant and                                         ⎜
                                                                                       ⎜ body weight ⎟      (
                                                                                                         ⎟ × dose calibratio n factor × 10 6   )
                                                                                       ⎝                 ⎠
benign tumor. The cut-off value for malignant
lesion is 2.5 and It have largely been proven to
be an oversimplification.                                Where Pixel Value is Pixel Intensity Value in
     In this study, the DICOM files are the              Region       of        Interest       (ROI),
main source to analyze and calculate SUV.
The Component of the DICOM file can be
divided into 2 main parts which are the image            , Actual activity is Injected activity at the time
and metadata. The image is the part that                 of scan, Body Weight is Patient Body Weight
displays the information by image and the                (kg) and Dose Calibration factor must be
metadata is the part that keep the detail of the         multiplied by 10-6 for MBq/ml to Bq/ml
data such as dose of injection, type of scan,            conversion.
patient weight, patient name, etc.
     We calculate the Standardized Uptake                   For SUV is practically in the defined
Value (SUV) and the brief meaning of SUV is              Volume Of Interest (VOI). We used
the Differential Uptake Value, Dose Uptake               MATLAB as a tool in the process. The SUV
Ratio, or Dose Absorption Ratio, For this                formula(2) have shown the requirement of data
study we used PET DICOM file that has been               which are from image part including metadata
through the attenuation correction.                      part. Here we used MATLAB to extract these
     The Uptake Value is represented by Pixel            data.
intensity value in the image and the GE
DICOM file. It collects the data in 16 bit so            The steps of the SUV calculation scheme are
that the pixel intensity value is between 0-             summarized as follow :
32767.
Therefore, the first process of the SUV                  Step 1: Extract Pixel Intensity Value in
calculation is the conversion of the pixel               Defined ROI (region of interest).
intensity value to the activity concentration.                   The purpose of extraction is to note
The related attributed tag* for the conversion                   the obtained pixel intensity value for
is Rescale Slope tag, and Rescale Intercept tag                  the next step of calculation, So we
(there are from metadata part). These tags                       extract Mean and Maximum pixel



ISSN: 1792-460X                                    414                                                           ISBN: 978-960-474-216-5
NEW ASPECTS of APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS & INFORMATICS and COMMUNICATIONS




        intensity because we need them to                         Fig. 2. Integral ROIs to VOI
        calculate the SUVmean and SUVmax

Step 2: Convert Intensity Pixel Value to
activity concentration (Bq).
         After we extracted the desired value,
         the conversion of Intensity Pixel
         Value to Activity Concentration (Bq)
         is the next step. The data in this
         conversion based on some of the detail
         part (metadata). See formula (2) then
         become




        Where

        The related tag in this part are Rescale
        Slope, Rescale Intercept and Units.
        Only Rescale slope is individual in
        each slice.

Step 3: Calculate SUV in each slice.
        Calculate SUV by formula (3) which
        the related tag in this part are Total
        Dose (0018,1074), Series Date
        (0008,0021), Series Time
        (0008,0031), Radiophamaceutical
        Start Time (0018,1072),
        Radiophamaceutical Half Life
        (0018,1075) and Patient Weight
        (0010,1010)

Step 4: Integral SUV of ROI to VOI
        In practical , SUV calculation is
        analyze in the Volume of Interest
        (VOI). So In this study we calculated
        SUV in each slice, summarized them                      Fig. 3. The SUV calculation Scheme
        which is depending on number of
        slices and projected the region of
        interest into every slices in the                3 Scheme Testing.
        volume. Mean that every slices under             This SUV calculation Scheme is operated on
        the volume has the same size and                 the PC with installing MATLAB. In order to
        position.                                        evaluate the performance of the scheme, it is
                                                         compared to the SUV that obtained from the
                                                         Well-known application software from GE
                                                         healthcare (Xeleris workstation)
                                                             Xeleris and MATLAB all allow
                                                         interpretation of ROI analysis. Three circular
                                                         ROIs were drawn surrounding the region of
                                                         FDG uptake. see the demonstration in the fig.
                                                         4.




ISSN: 1792-460X                                    415                             ISBN: 978-960-474-216-5
NEW ASPECTS of APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS & INFORMATICS and COMMUNICATIONS




                                                        [2] Gustavo S.P. Meirelles, Peter kijewski,
                                                            Timothy, “Correlation of PET/CT
                                                            standardized Uptake Value measurements
                                                            between Dedicated workstations and
                                                            PACS-integrated workstation system”
                                                            Journal of Digital Imaging, Vol 20,
                                                            NO.3(September)2007, p.307-313
                                                        [3] S.Chicklore, P.Jaye, S.Vijayanatham,
     Fig. 4. Example of the 3 sizes ROI drawn               D.Gallacher, “Comparing diagnostic
          on Phantom transaxial images                      accuracy of digital images viewed on a
                                                            Picture Archiving and Communication
The maximum SUV was recorded and mean                       System(PACS) diagnostic workstation and
SUVs of the malignant lesion were calculated                on a Personal Computer(PC)-Based
and recorded by the Xeleris® workstation and                imaging system” St Thomas’ Hospital,
MATLAB. And the Xeleris and MATLAB                          London, UK
were analyzed together for further studying the         [4] ACR-NEMA, “Digital Imaging and
correlation of both system.                                 Communication in Medicine (DICOM)
   Data were analyzed using SPSS software.                  Positron emission tomography image
Correlation of the SUV measurement between                  objects Supplement 12 ”
the dedicated Xeleris workstations and                  [5] Aparna Kanakatte, Jayavardhana Gubbi,
MATLAB was measured with               Pearson              Nallasamy Mani, Tomas Kron, David
correlation coefficient. The comparison was                 Binns, “A Pilot Study of Automatic Lung
perform with 3 sized-ROI in 45 phantom slice.               Tumor Segmentation from Position
                                                            Emission Tomography Images using
                                                            Standard Uptake Values”, Proceedings of
4 Results                                                   the 2007 IEEE symposium on
The result shown that the Correlation between               Computational Intelligence in Image and
Xeleris Workstation and MATLAB was very                     Signal Processing (CIISP 2007), p 363-
good for the SUVmaximum and SUVmean. This is                368
reassuring, Because it mean that the proposed           [6] M.Teras, T.Tovanen, J.J.Johnasson,
of the SUV calculation scheme can interpret                 J.J.Williams, J.Knunti, “Performance of
PET/CT images even though the worker is not                 the new generation of whole-body PET/CT
on the workstation site.                                    scanners: Discovery STE and Discovery
                                                            VCT”, Eur journal Nuclear Molecular
                                                            Imaging (2007)34, p.1683-1692
5 Conclusion                                            [7] Mark. T Madsen, “Selecting New PET/CT
These Result indicate that the SUVs from                    System”, Technology talk, 2004 American
MATLAB analysis could be used interchange                   College of Ragiology, p.356-358
with PET/CT Xeleris® workstation for                    [8] GE Medical System, “Technical
interpretation of PET/CT image without losing               Publication Advance TM 5.1 Conformance
the capacity to accurately measure the SUV.                 Statement for DICOM V3.0”, GE
                                                            Healthcare, p. 3_17 – 3_21
References:                                             [9] http://qibawiki.rsna.org/
[1] Joseph A. Thie, PhD, “Understanding the             [10]    GE Medical System, “DiscoverySTE
    Standardized Uptake Value, Its Methods,                 Quick Manual” , GE Healthcare MISM
    And Implication for Usage” The journal of               Tip application, p. 28-38
    Nuclear Medicine, Vo. 45, No.9 p. 1431-
    1434




ISSN: 1792-460X                                   416                           ISBN: 978-960-474-216-5

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AIBE 68

  • 1. NEW ASPECTS of APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS & INFORMATICS and COMMUNICATIONS A novel Standardized Uptake Value (SUV) calculation of PET DICOM files using MATLAB. PAWITRA MASA-AH and SOMPHOB SOONGSATHITANON* Nuclear Medicine Division, Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Prannok Rd., Bangkoknoi, Bangkok, 10700 THAILAND *Corresponding author: sissst@mahidol.ac.th Abstract: - This paper presents a novel SUV calculation scheme for PET DICOM files using MATLAB and the results are compared with the SUV taken from the well-known application software from GE healthcare. The performance of the scheme is evaluated by using the DICOM files taken from the widely used standard PET phantom scan. The results show that the SUV calculation scheme for PET DICOM file using MATLAB is comparable with the SUV taken from the GE healthcare application software. The strength of this scheme is that the interchangeability of the DICOM files can be done conveniently without the special application software from any vendors. Key-Words: - Positron Emission Tomography combined Computed tomography (PET/CT), Standardized Uptake Value (SUV), The Digital Imaging and Communications in Medicine (DICOM) 1 Introduction A DICOM file is divided into two major sections. there are part of the DICOM image In Nuclear medicine, Positron Emission and the data header (DICOM elements or Tomography (PET) scanner plays an important Metadata). DICOM image (Fig 1) shows a role in both diagnosis and staging of cancers. more detailed list of the DICOM header as The hybrid system of a PET scanner combined displayed by the software. The data header or with CT scanner (PET/CT) has gained DICOM elements (Fig 1) required depends on popularity in the oncological community since the image type. its commercial introduction to the market in In this research we use MATLAB as a early 2001. DICOM viewer and also for analysis. These For the F18-FDG uptake evaluation of are the reviewed DICOM file by MATLAB. the tumor metabolism quantitatively. SUV (Standardized Uptake Value) is the one that quite often used. It is most commonly used semi-quantitative parameter utilized for (a) analyzing FDG-PET images in routine clinical practice. It came to be used as a tool to supplement visual interpretation. DICOM file was a file format that (b) developed by the DICOM Standards Committee whose members are also partly members of NEMA. The Strength of DICOM files is the exchangeability between two entities that are capable of receiving image and patient data. DICOM also enables the integration of scanners, servers, workstations, Fig. 1. The DICOM file is reviewed by printers, and network hardware from multiple MATLAB (a.) Image part (b.) Metadata manufacturers into a picture archiving and part communication system (PACS). ISSN: 1792-460X 413 ISBN: 978-960-474-216-5
  • 2. NEW ASPECTS of APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS & INFORMATICS and COMMUNICATIONS 2 Study Framework varies for every image slice. So the tissue This is a block diagram in our study that show activity is calculated using formula 1. the process, After a set of DICOM files throughout our created scheme, the scheme (1) yielded the SUVmaximum and SUVmean Where m is rescale Slope (which is different in each image slice), SV is the stored value (Pixel intensity Value), b is rescale intercept (for PET scan is always Zero) and U is units of value after conversion (for our study is Bq/ml, Shown in Unit tag) The conversion formula above is the fundamental defined by NEMA, however the Fig. 2. The Study Framework formula maybe slightly different for each vendor, In this study we used GE DICOM file. So the method of calculation is based on GE 3 Calculation of Standardized conformance statement [8] Uptake Value (SUV). SUVbody weight (kg / ml ) = Activity Concentration in ROI ( Bq / ml ) (2) SUV (Standardized Uptake Value) is the one ⎛ Injected Dose( Bq ) ⎞ ⎜ ⎟ that quite often used. It is most commonly ⎜ body weight ⎟ ⎝ ( kg ) ⎠ used semi-quantitative parameter utilized for analyzing FDG-PET images in routine clinical practice. It came to be used as a tool to ⎛ ⎜ Pixel Value ⎞ ⎜ Im age Scale Factor ⎟ ⎟ supplement visual interpretation. The SUV is ⎝ ⎠ SUV body weight ( kg / ml ) = ⎛ actual activity ⎞ (3) also used to distinguish between malignant and ⎜ ⎜ body weight ⎟ ( ⎟ × dose calibratio n factor × 10 6 ) ⎝ ⎠ benign tumor. The cut-off value for malignant lesion is 2.5 and It have largely been proven to be an oversimplification. Where Pixel Value is Pixel Intensity Value in In this study, the DICOM files are the Region of Interest (ROI), main source to analyze and calculate SUV. The Component of the DICOM file can be divided into 2 main parts which are the image , Actual activity is Injected activity at the time and metadata. The image is the part that of scan, Body Weight is Patient Body Weight displays the information by image and the (kg) and Dose Calibration factor must be metadata is the part that keep the detail of the multiplied by 10-6 for MBq/ml to Bq/ml data such as dose of injection, type of scan, conversion. patient weight, patient name, etc. We calculate the Standardized Uptake For SUV is practically in the defined Value (SUV) and the brief meaning of SUV is Volume Of Interest (VOI). We used the Differential Uptake Value, Dose Uptake MATLAB as a tool in the process. The SUV Ratio, or Dose Absorption Ratio, For this formula(2) have shown the requirement of data study we used PET DICOM file that has been which are from image part including metadata through the attenuation correction. part. Here we used MATLAB to extract these The Uptake Value is represented by Pixel data. intensity value in the image and the GE DICOM file. It collects the data in 16 bit so The steps of the SUV calculation scheme are that the pixel intensity value is between 0- summarized as follow : 32767. Therefore, the first process of the SUV Step 1: Extract Pixel Intensity Value in calculation is the conversion of the pixel Defined ROI (region of interest). intensity value to the activity concentration. The purpose of extraction is to note The related attributed tag* for the conversion the obtained pixel intensity value for is Rescale Slope tag, and Rescale Intercept tag the next step of calculation, So we (there are from metadata part). These tags extract Mean and Maximum pixel ISSN: 1792-460X 414 ISBN: 978-960-474-216-5
  • 3. NEW ASPECTS of APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS & INFORMATICS and COMMUNICATIONS intensity because we need them to Fig. 2. Integral ROIs to VOI calculate the SUVmean and SUVmax Step 2: Convert Intensity Pixel Value to activity concentration (Bq). After we extracted the desired value, the conversion of Intensity Pixel Value to Activity Concentration (Bq) is the next step. The data in this conversion based on some of the detail part (metadata). See formula (2) then become Where The related tag in this part are Rescale Slope, Rescale Intercept and Units. Only Rescale slope is individual in each slice. Step 3: Calculate SUV in each slice. Calculate SUV by formula (3) which the related tag in this part are Total Dose (0018,1074), Series Date (0008,0021), Series Time (0008,0031), Radiophamaceutical Start Time (0018,1072), Radiophamaceutical Half Life (0018,1075) and Patient Weight (0010,1010) Step 4: Integral SUV of ROI to VOI In practical , SUV calculation is analyze in the Volume of Interest (VOI). So In this study we calculated SUV in each slice, summarized them Fig. 3. The SUV calculation Scheme which is depending on number of slices and projected the region of interest into every slices in the 3 Scheme Testing. volume. Mean that every slices under This SUV calculation Scheme is operated on the volume has the same size and the PC with installing MATLAB. In order to position. evaluate the performance of the scheme, it is compared to the SUV that obtained from the Well-known application software from GE healthcare (Xeleris workstation) Xeleris and MATLAB all allow interpretation of ROI analysis. Three circular ROIs were drawn surrounding the region of FDG uptake. see the demonstration in the fig. 4. ISSN: 1792-460X 415 ISBN: 978-960-474-216-5
  • 4. NEW ASPECTS of APPLIED INFORMATICS, BIOMEDICAL ELECTRONICS & INFORMATICS and COMMUNICATIONS [2] Gustavo S.P. Meirelles, Peter kijewski, Timothy, “Correlation of PET/CT standardized Uptake Value measurements between Dedicated workstations and PACS-integrated workstation system” Journal of Digital Imaging, Vol 20, NO.3(September)2007, p.307-313 [3] S.Chicklore, P.Jaye, S.Vijayanatham, Fig. 4. Example of the 3 sizes ROI drawn D.Gallacher, “Comparing diagnostic on Phantom transaxial images accuracy of digital images viewed on a Picture Archiving and Communication The maximum SUV was recorded and mean System(PACS) diagnostic workstation and SUVs of the malignant lesion were calculated on a Personal Computer(PC)-Based and recorded by the Xeleris® workstation and imaging system” St Thomas’ Hospital, MATLAB. And the Xeleris and MATLAB London, UK were analyzed together for further studying the [4] ACR-NEMA, “Digital Imaging and correlation of both system. Communication in Medicine (DICOM) Data were analyzed using SPSS software. Positron emission tomography image Correlation of the SUV measurement between objects Supplement 12 ” the dedicated Xeleris workstations and [5] Aparna Kanakatte, Jayavardhana Gubbi, MATLAB was measured with Pearson Nallasamy Mani, Tomas Kron, David correlation coefficient. The comparison was Binns, “A Pilot Study of Automatic Lung perform with 3 sized-ROI in 45 phantom slice. Tumor Segmentation from Position Emission Tomography Images using Standard Uptake Values”, Proceedings of 4 Results the 2007 IEEE symposium on The result shown that the Correlation between Computational Intelligence in Image and Xeleris Workstation and MATLAB was very Signal Processing (CIISP 2007), p 363- good for the SUVmaximum and SUVmean. This is 368 reassuring, Because it mean that the proposed [6] M.Teras, T.Tovanen, J.J.Johnasson, of the SUV calculation scheme can interpret J.J.Williams, J.Knunti, “Performance of PET/CT images even though the worker is not the new generation of whole-body PET/CT on the workstation site. scanners: Discovery STE and Discovery VCT”, Eur journal Nuclear Molecular Imaging (2007)34, p.1683-1692 5 Conclusion [7] Mark. T Madsen, “Selecting New PET/CT These Result indicate that the SUVs from System”, Technology talk, 2004 American MATLAB analysis could be used interchange College of Ragiology, p.356-358 with PET/CT Xeleris® workstation for [8] GE Medical System, “Technical interpretation of PET/CT image without losing Publication Advance TM 5.1 Conformance the capacity to accurately measure the SUV. Statement for DICOM V3.0”, GE Healthcare, p. 3_17 – 3_21 References: [9] http://qibawiki.rsna.org/ [1] Joseph A. Thie, PhD, “Understanding the [10] GE Medical System, “DiscoverySTE Standardized Uptake Value, Its Methods, Quick Manual” , GE Healthcare MISM And Implication for Usage” The journal of Tip application, p. 28-38 Nuclear Medicine, Vo. 45, No.9 p. 1431- 1434 ISSN: 1792-460X 416 ISBN: 978-960-474-216-5