Breast cancer and non-malignant breast data: Quantification by FPT - Signal Processing in MRS with Biomedical Applications - page 317

Convergence of Metabolite Concentrations Reconstructed by FPT (−) : Partial Signal Lengths N P = 1000, 1500, 2000
Two Sets of Independent Abscissae and Ordinates: [Bottom,Left] ## 3−9 (Cho,...,m−Ins) and [Top,Right] ## 1, 2 (Lac,Ala)

Metabolite Map for Concentrations: x (Input Data), o (Pade−Reconstructed Data)

2.6 2.32 2.04 1.76 1.48 1.2

0.5 0.6

PADE: FPT (−)
N P = 1000
PCho (# 4) Unresolved
PE (# 5) Overestimated
ν L = 600 MHz
B 0

7
(3.25 ppm, 0.45

0.4 0.48 1

(1.33, 0.504)
Lac

µ M/g ww)

m−Ins

β −Glc

(3.28, 0.286)

9

0.3 0.36

PCho+PE

≈ 14.1 T

Tau

(3.22, 0.148)

0.2 0.24

(3.27, 0.1325)

4+5

Normal

8

Ala

(1.47, 0.0875)

0.1 0.12

2

GPC

6
(3.23, 0.032)

Cho

3

(3.21, 0.017)

0 0

3.3 3.26 3.22 3.18 3.14 3.1

(i) Chemical shift (ppm)

Metabolite Map for Concentrations: x (Input Data), o (Pade−Reconstructed Data)

2.6 2.32 2.04 1.76 1.48 1.2

0.5 0.6

PADE: FPT (−)
N P = 1500
CONVERGED
ν L = 600 MHz
B 0 ≈ 14.1 T
Normal

7
(3.25 ppm, 0.45

0.4 0.48

1
(1.33, 0.504)
Lac

µ M/g ww)

m−Ins

β −Glc

(3.28, 0.286)

9

0.3 0.36

Tau

PE

0.2 0.24

(3.27, 0.1325)

(3.22, 0.129)

8 5

Ala

(1.47, 0.0875)

0.1 0.12 2

GPC

PCho (3.22, 0.019)

6
(3.23, 0.032)

4 3

Cho

(3.21, 0.017)

0 0

3.3 3.26 3.22 3.18 3.14 3.1

(ii) Chemical shift (ppm)

Metabolite Map for Concentrations: x (Input Data), o (Pade−Reconstructed Data)

2.6 2.32 2.04 1.76 1.48 1.2

0.5 0.6

PADE: FPT (−)
N P = 2000
CONVERGED
ν L = 600 MHz
B 0

7
(3.25 ppm, 0.45

0.4 0.48

µ M/g ww) 1

(1.33, 0.504)
Lac

m−Ins

β −Glc

(3.28, 0.286)

9

0.3 0.36

≈ 14.1 T

Tau

PE Normal

0.2 0.24

(3.27, 0.1325)

(3.22, 0.129)

8

5

Ala

(1.47, 0.0875)

0.1

2

0.12

GPC

PCho

(3.22, 0.019)

6

4

Cho 3

(3.21, 0.017)

(3.23, 0.032)

0 0

3.3 3.26 3.22 3.18 3.14 3.1

(iii) Chemical shift (ppm)

FIGURE 10.2
Padereconstructed metabolite concentrations in normal breast based upon in
vitro MRS data from Ref. [395].